About the Business Analytics Team

The Business Analytics team’s mission is to unlock strategic opportunities and enable Thumbtack to achieve its full business potential. To accomplish this mission, we focus on:

• Business performance: Metrics, dashboards, and forums that help us measure progress towards our goals and foster deep understanding of our business.
• Strategic insights: Analytics to uncover insights that will be game-changers for our business, and that inform company strategy and team execution.
• Telling Thumbtack’s story: Using metrics and data visualization to tell Thumbtack’s story to investors, board members, our team, and the world.
• Building a world-class team: hiring the best, and investing in coaching, learning, and team building.

We are a tight-knit group that is passionate about driving business impact through data science and analytics.

About the Role

As a data scientist on the business analytics team, you will work with the leadership team on a daily basis to unpack business performance and insights to influence decision making and long-term strategy. You will work across reporting and infra, monthly business performance readouts and quarterly board reporting, forecasting, and analytical deep-dives, all of which are relied heavily upon leaders to understand the current state of the business where it’s headed.

Your Responsibilities

• Define, measure, and track the key metrics that measure Thumbtack’s success
• Design and build key company data tables, dashboards, and insights tools that power decisions across the company, and evolve them as our product and business change
• Conduct in-depth analyses to answer key questions that are critical to Thumbtack’s strategy
• Support and improve company revenue forecasting model, and forecasting/planning process
• Partner effectively with teams across the company, including Product, Engineering, Marketing, Operations, Finance, as well as Thumbtack’s leadership team
• Contribute to our team and company data culture through peer collaboration, training, coaching, and more

What you’ll need

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

• 2+ years of professional experience 
• Advanced command of SQL 
• Experience with data visualization tools 
• Ability to develop compelling written narratives to explain analyses and make recommendations
• Exemplary analytical problem solving skills and business judgment; ability to ask the right questions, identify missing information and synthesize insights from data
• Effective collaboration with cross-functional partners (product marketing, finance, etc.) to think through product strategy and execution questions

Bonus points if you have

• Ability to utilize programming languages (R, Python etc…) in the context of data analysis
• Familiarity with marketplace dynamics and challenges
• Forecasting experience

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines. Learn more about our virtual-first working modelhere. 

For candidates living in San Francisco / Bay Area, New York City, or Seattle metros, the expected salary range for the role is currently $114,750 - $148,500. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.

For candidates living in all other US locations, the expected salary range for this role is currently $97,537.50 - $126,225. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.

#LI-Remote

About the team

Angi is seeking an exceptional Staff Data Scientist who can enable our transformation into a world-class online marketplace. Our Data Science and Machine Learning team uses state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. The fraud detection team is dedicated to maintaining the integrity of the platform by actively protecting both homeowners and pros from fraud. We develop models to screen and onboard new users, verify user authenticity, prevent spam, and remove misleading reviews & profiles. Our efforts extend to ensuring the quality of interactions so that every experience on Angi builds confidence and trust in the platform. 

In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically working closely with our Machine learning engineers and data platform team.

What you’ll do

• Model Development & Data Strategy: Lead development of state-of-the-art machine learning models and algorithms to improve fraud detection in both sides of the marketplace and booking process. This will include but not limited to having expertise in the fraud domain and building models with high efficiencies. Success in these areas will impact reducing the risk and fraud and improving user experience as critical metrics for business success. 
• Model Deployment: Implement highly optimized models to ensure the seamless deployment and scalability in production. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments.
• Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services.
• Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.
• Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.

Who you are

• You have a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
• You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments with focus on fraud.
• You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. 
• You have expertise in state-of-the-art algorithms such as Graph NN, Reinforcement Learning and other unsupervised learning approaches for detecting transactional and non-transactional frauds. 
• You have a proven track record of deploying highly impactful machine learning models into production environments.
• You are proficient in SQL and Python, and have experience with cloud ML solutions.
• You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits

• The salary band for this position ranges$190,000 - $260,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. 
• This position will be eligible for a competitive year end performance bonus & equity package. 
• Full medical, dental, vision package to fit your needs 
• Flexible vacation policy; work hard and take time when you need it 
• Pet discount plans & retirement plan with company match (401K) 
• The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

#LI-Remote
#BI-Remote

Locations -Austin, Texas or major Texas cities who are willing to travel to Austin once a month for team meetings. If not in Texas, you must be willing to relocate. 

About the Team

The BI team at Cloudflare is responsible for building and managing the cloud data analytics platform. Our focus is on developing a centralized cloud data analytics platform using open source technologies for internal Business Partners and Machine Learning teams. The team aims to make data more accessible, meet Cloudflare's critical business needs, and provide self-service reporting and analytics tools to support current and new business initiatives.

Data Scientist Responsibilities

• Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment.
• Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality.
• Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
• Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
• Define, implement, and train statistical, machine learning, deep learning and generative AI models.
• Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
• Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
• Active role in hiring, growing, and mentoring the data scientist team in Austin.

Examples of desirable skills, knowledge and experience

• M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
• 3+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams) 
• Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth)
• 2+ years experience with a fast-growing SaaS business based company is preferred.
• Strong experience in scientific computing using Python.
• Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc.
• Experience working with and processing structured, unstructured, and semi-structured data.  
• Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
• Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
• Proficiency in large language models and the frameworks necessary for implementing GenAI applications, such as chatbots and related use cases.
• Strong communication and presentation skills catered to different audiences within the company.
• Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
• Experience in hiring data scientists and establishing team best practices is preferred.

At Webflow, our mission is to bring development superpowers to everyone. Webflow is a Website Experience Platform (WXP) that empowers modern marketing teams to visually build, manage, and optimize stunning websites. With AI-driven personalization baked in, Webflow enables teams to significantly boost conversion rates, translating directly into measurable business growth. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative.

We’re adding a Senior Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. As an early member of our data team, you will also be working to improve our data warehouse by thoughtfully developing clean and reliable data pipelines for lasting impact.

About the role:

• Location: Remote-first (Mexico City, B.C. or Ontario, Canada, and US Remote excluding SF, SEA, and NYC)
• Full-time
• Permanent 
• The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. The specific base pay within this range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
  • United States (figures cited below are in USD)
    • Zone B USD $149,000 - $205,000
    • Zone C USD $139,000 - $192,000
  • Canada (figures cited below are in CAD)
    • CAD $180,000 - $248,000
  • Mexico City (figures cited below are in MXN and pertain to workers in Mexico)
    • MXN $809,900 - MXN $1,065,100

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Reporting to the Manager, Data Science. 

As a Senior Data Scientist, you’ll:

• Enable our product teams to think strategically with key stakeholders about how customers engage with Webflow, identifying and executing on high impact growth opportunities with actionable insights
• Define product and business success metrics, building tools for monitoring and surfacing drivers of KPIs (Key Performance Indicators)
• Lead technical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product.
• Develop our data foundation, experimentation and machine learning capabilities, collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience. We currently use Snowflake, DBT, Tableau, and Fivetran and are working with our Data Engineering collaborators on scaling our platform capabilities with a number of other tools!

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you:

Requirements:

• Business-level fluency to read, write and speak in English
• Must live in Mexico City and/or the surrounding 16 boroughs

You’ll thrive as a Senior Data Scientist if you:

• Have 4+ years of experiencein a Data Science (or similar) position 
• Have interest and experiencein mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice
• Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same
• Have expertisein applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members
• Have proficiencyin SQL, and experience with a programming language like Python or R
• Curious about diving into the nuances of our business and product data 
• Thrive collaboratingwith product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems
• Engageboth technical and nontechnical audiences with clear and compelling communication

Our Core Behaviors:

• Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers
• Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment
• Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care
• Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates

Benefits & wellness

• Equity ownership (RSUs) in a growing, privately-owned company.
• 100% employer-paid healthcare, vision, and dental insurance coverage for employees and dependents (full-time employees working 30+ hours per week), as well as Health Savings Account/Health Reimbursement Account, dependent care Flexible Spending Account (US only), dependent on insurance plan selection where applicable in the respective country of employment; Employees may also have voluntary insurance options, such as life, disability, hospital protection, accident, and critical illness where applicable in the respective country of employment
• 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability for birthing parents to be used before child bonding leave (where local requirements are more generous employees receive the greater benefit); Employees also have access to family planning care and reimbursement
• Flexible PTO with a mandatory annual minimum of 10 days paid time off for all locations (where local requirements are more generous employees receive the greater benefit), and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support health and wellness, smart work, and professional growth
• Professional career coaching, internal learning & development programs
• 401k plan and pension schemes (in countries where statutorily required) financial wellness benefits, like CPA or financial advisor coverage
• Discounted Pet Insurance offering (US only)
• Commuter benefits for in-office employees

Temporary employees are not eligible for paid holiday time off, accrued paid time off, paid leaves of absence, or company-sponsored perks unless otherwise required by law.

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please reviewWebflow’s Applicant Privacy Notice. 

The Basics

We are seeking a seasoned Staff Data Scientist with a strong mathematical foundation to join Tanium’s AI team. Tanium is the first-mover in delivering on the promise of autonomous endpoint management (AEM). Powered by Tanium AI, AEM will deliver comprehensive, autonomous management of endpoints, including security, incident response, patching, change management, and performance monitoring capabilities. 

The Staff Data Scientist will work closely with cross-functional teams to lead the design, development, and deployment of advanced models that deliver autonomous action across Tanium’s suite of solutions. Particular focus will be on the development of the algorithms that serve as inputs AI results (e.g., confidence scoring).  

 What you’ll do

• Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development. 
• Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions. 
• Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control. 
• Lead testing processes to assess and continuously enhance AI performance.  
• Collaborate with cross-functional teams including software engineers, product managers, and data engineers to integrate AI solutions into our AEM capabilities. 
• Monitor and optimize AI models for performance, scalability, accuracy, and reliability in real-world applications. 
• Stay updated with the latest advancements in AI, machine learning, and related fields to drive innovation within the company. 

 We’re looking for someone with

•  Education
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field(advanced degreepreferred) or equivalent work experience. 
• Experience and skills
  • Proven experience in a data scientist role (8+ years) with a track record of developing and deploying AI models in a production environment. 
  • Proficiency in programming languages for data analysis and machine learning. 
  • In-depth knowledge of mathematical concepts including linear algebra, calculus, probability, and statistics. 
  • Experience with machine learning frameworks 
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. 

About Tanium 

Tanium delivers the industry's only true real-time cloud-based endpoint management and security offering. Its converged endpoint management (XEM) platform is real-time, seamless, and autonomous, allowing security-conscious organizations to break down silos between IT and Security operations that results in reduced complexity, cost, and risk. Securing more than 32M endpoints around the world, Tanium's customers include Fortune 100 organizations, top US retailers, top US commercial banks, and branches of the U.S. Military. It also partners with the world's biggest technology companies, system integrators, and managed service providers to help customers realize the full potential of their IT investments. Tanium has been named to the Forbes Cloud 100 list for nine consecutive years and ranks on the Fortune 100 Best Companies to Work For. For more information on The Power of Certainty™, visitwww.tanium.comand follow us onLinkedIn andX. 

On a mission. Together. 

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.   

We are an organization with stakeholders around the world and it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things. 

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.  

What you’ll get

The annual base salary range for this full-time position is $135,000 to $410,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.

For more information on how Tanium processes your personal data, please see our Privacy Policy.

About the Role: 

We seek a Senior Data Scientist to play a pivotal role in advancing Tubi's Experimentation platform. You will contribute to the company’s data-driven experimentation process, supporting continuous improvements to the user experience and the organization's strategies. You will be involved in designing, analyzing, and interpreting our testing calendar, which includes A/B, holdout, MMT, and switchback tests. You will advance our technical infrastructure to improve test velocity and statistical rigor. Finally, you will provide insights and recommendations to inform data-driven decisions across all departments.

Responsibilities:

• Plan and execute experimentation strategies, fostering a culture of innovation
• Enhance statistical rigor, metric alignment, transparency, and effectiveness of Tubi’s experiment frameworks
• Research advanced features and methods to add to the experimentation pipeline, aiming to reduce test duration, increase sensitivity, accurately determine sample size, etc
• Define and select experiment proxy metrics that align with the company’s North Star objectives
• Provide expert evaluation of experiment design, including pre-test planning, in-flight monitoring, and post-experiment analysis for graduation decisions
• Collaborate with cross-functional teams to define and execute domain-specific and global holdout tests, measuring the individual and collective impact of the company’s initiatives

Your Background:

• Strong technical experience in a data science role, with emphasis on A/B testing and experimentation in a technology-focused organization
• Deep knowledge of experimental design, statistical methods, and best practices in A/B testing and causal inference
• Advanced proficiency in programming and data manipulation using SQL, Python, and Spark
• Strong analytical skills with proficiency in statistical analysis and the ability to derive insights from large datasets
• Excellent communication skills with the ability to present complex findings in a structured and transparent manner to non-technical stakeholders

Bonus:

• Video streaming industry experience is a plus.

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.

California, New York City, Westchester County, NY, and Seattle, WA Compensation

$134,000 to $191,000 / year + Bonus + Long-Term Incentive Plan + Benefits

Colorado and Washington (excluding Seattle, WA) Compensation

$120,000 to $172,000 / year + Bonus + Long-Term Incentive Plan + Benefits

#LI-MQ1

????London | UK remote | ???? £80,000 to £90,000 + Stock Options + Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Senior Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user experience in 2024 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 9 million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into Borrowing product squads alongside engineers, designers, marketers and product managers.

Your day-to-day

• Apply your expertise in analytics and data science to build a comprehensive understanding of our customers through identifying their needs and behaviours to steer data driven product development.
• Lead and empower product teams to measure things that matter to improve our products and customer experience.
• Design, implement and analyse A/B tests to assess the impact of product features and changes.
• Collaborate with user research to use data to enhance insights and guide strategic decisions.
• Develop and maintain data pipelines, dashboards, and reporting tools to monitor product performance.
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights.

You should apply if:

What we’re doing here at Monzo excites you!

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and preferably Python
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Technical assessment
3. Final interview including a case study and collaboration interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

???? £80,000 to £90,000 + Stock Options + Benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote

OVERVIEW

About the Role

This is a general posting for multiple Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. 

With regards to level, we have flexibility. Your level will be determined by your education, years of experience, and most importantly, how you perform throughout the interview process. If you're targeting a senior title, you'll need to prove to the team that you're operating at that level. 

About the Team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

ABOUT THE JOB

• Own analytical frameworks that guide the product roadmap
• Design rigorous experiments and interpret results to draw detailed and actionable conclusions
• Develop statistical models to extract trends, measure results, and predict future performance of our product
• Build simulations to project impact of various product and policy interventions
• Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
• Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
• Present findings in a compelling way to influence Instacart’s leadership

ABOUT YOU

Minimum Qualifications

• 2+ years experience working in a quantitative role at a product company or a research organization
• Ability to run rigorous experiments and come up with scientifically sound recommendations
• Ability to write complex, efficient, and eloquent SQL queries to extract data
• Ability to write efficient and eloquent code in Python or R
• A desire to build and improve consumer software products
• Ability to translate business needs into analytical frameworks
• Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

Preferred Qualifications

• Awareness of business trade offs when working on a multi-sided marketplace 
• Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
• MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field

OPEN ROLES:

Commerce Platform

This team is a key player in driving affordability for Insacart, through the promotion & adoption of retailer loyalty & discount programs. On this team, you'll engage in pricing optimizations at item, category, retailer, and geo levels to foster long-term customer growth. You'll evaluate the effects of the platform's performance improvements, such as latency reduction for ordering and invoicing. 

Growth & Marketing Tech

Instacart's marketing data science team serves as thought partners and problem solvers for the Growth and Marketing orgs, supporting our broader mission to give everyone access to the food they love. We are responsible for understanding the end to end scope of growth marketing, including how marketing shapes and impacts customer behavior both today and in the long run, the efficiency and performance of any marketing technology we utilize, and what the highest ROI investments are in both marketing and marketing technology. We synthesize our insights and knowledge into actionable tactics, optimizations, and strategy within marketing.

New Bets

The New Bets Data Science team exists to provide data-driven insights and strategic guidance around Instacart’s most promising emerging initiatives, collectively known as "new bets”. You will play a critical role in supporting these exciting new bets, including Instacart Business and Health, by establishing data foundations, discovering new opportunities, and evaluating success using your business judgement and experimentation. The position requires a scrappy, "startup-like" mindset, as you will partner closely with self-directed teams forming new business lines all while leveraging the knowledge and systems of Instacart's established marketplace.

Order Experience

We are seeking a Senior Data Scientist to join our Order Experience team at Instacart, with a keen focus on enhancing consumer interactions through strategic data-driven insights. The ideal candidate should be passionate about creating a seamless user experience, focusing on optimizing our critical surfaces such as cart and checkout, and playing a significant role in strategic initiatives like Family Account features. This role requires strong product-facing data science experience, strategic thinking, and adeptness at collaborating with stakeholders to translate complex data into actionable product recommendations.

Retailer Storefronts

Retailer Storefronts builds white label storefronts for retail partners and committed to being the best digital enablement platform for our retailers, both online and in-store. DSA supports Retailer Storefronts by leveraging observational data to help drive product and marketing strategies grow our and our retailers' businesses.

#LI-Remote

Job Title: Senior Data Scientist

Location: Remote / Latin America

About Sezzle:

Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers’ purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

About the Role:

We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

What You’ll Do:

• Build machine learning-based collection systems

• Develop forecasting models to understand and predict cash flow

• Design recommender system architectures from scratch

• Utilize off-the-shelf recommender systems like AWS Personalize

• Design and conduct A/B tests to measure effectiveness

• Use PyTorch/TensorFlow to build neural network-based systems

• Deploy machine learning models in AWS

• Monitor model performance and feature drift

What We Look For:

• 5+ years of experience working as a data scientist or machine learning engineer

• Proven track record of building and deploying impactful machine learning systems

• Proficiency in SQL and Python

• Expertise in data analysis and database structures

• Experience building and deploying neural networks with TensorFlow and PyTorch

• Experience building risk models or collection systems (a plus)

• Experience building machine learning recommender systems (a plus)

• Strong academic performance with a 4.2+/5.0 GPA 

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.

• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

1.Online Assessment (12 minutes)

2.SQL and Python Questions (30 minutes)

3.Virtual Interview (30 minutes)

Sezzle’s Technology Stack:

• Languages:Golang, Typescript, Python
• Frontend:Typescript - React and React Native
• Backend:Golang
• Database:MySQL, Postgres, Elasticsearch
• DevOps & Cloud:AWS, Kubernetes
• Version Control:Git
• CI/CD:Gitlab
• Testing:Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote

Job Title: Senior Data Scientist

Location: Remote / Latin America

About Sezzle:

Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers’ purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

About the Role:

We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

What You’ll Do:

• Build machine learning-based collection systems

• Develop forecasting models to understand and predict cash flow

• Design recommender system architectures from scratch

• Utilize off-the-shelf recommender systems like AWS Personalize

• Design and conduct A/B tests to measure effectiveness

• Use PyTorch/TensorFlow to build neural network-based systems

• Deploy machine learning models in AWS

• Monitor model performance and feature drift

What We Look For:

• 5+ years of experience working as a data scientist or machine learning engineer

• Proven track record of building and deploying impactful machine learning systems

• Proficiency in SQL and Python

• Expertise in data analysis and database structures

• Experience building and deploying neural networks with TensorFlow and PyTorch

• Experience building risk models or collection systems (a plus)

• Experience building machine learning recommender systems (a plus)

• Strong academic performance with a 4.2+/5.0 GPA 

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.

• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

1.Online Assessment (12 minutes)

2.SQL and Python Questions (30 minutes)

3.Virtual Interview (30 minutes)

Sezzle’s Technology Stack:

• Languages:Golang, Typescript, Python
• Frontend:Typescript - React and React Native
• Backend:Golang
• Database:MySQL, Postgres, Elasticsearch
• DevOps & Cloud:AWS, Kubernetes
• Version Control:Git
• CI/CD:Gitlab
• Testing:Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote

Job Title: Senior Data Scientist

Location: Remote / Latin America

About Sezzle:

Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers’ purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

About the Role:

We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

What You’ll Do:

• Build machine learning-based collection systems

• Develop forecasting models to understand and predict cash flow

• Design recommender system architectures from scratch

• Utilize off-the-shelf recommender systems like AWS Personalize

• Design and conduct A/B tests to measure effectiveness

• Use PyTorch/TensorFlow to build neural network-based systems

• Deploy machine learning models in AWS

• Monitor model performance and feature drift

What We Look For:

• 5+ years of experience working as a data scientist or machine learning engineer

• Proven track record of building and deploying impactful machine learning systems

• Proficiency in SQL and Python

• Expertise in data analysis and database structures

• Experience building and deploying neural networks with TensorFlow and PyTorch

• Experience building risk models or collection systems (a plus)

• Experience building machine learning recommender systems (a plus)

• Strong academic performance with a 4.2+/5.0 GPA 

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.

• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

1.Online Assessment (12 minutes)

2.SQL and Python Questions (30 minutes)

3.Virtual Interview (30 minutes)

Sezzle’s Technology Stack:

• Languages:Golang, Typescript, Python
• Frontend:Typescript - React and React Native
• Backend:Golang
• Database:MySQL, Postgres, Elasticsearch
• DevOps & Cloud:AWS, Kubernetes
• Version Control:Git
• CI/CD:Gitlab
• Testing:Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote