Location: Remote - Eligible US Locations

About the role and about You:

Are you a talented and motivated Software Engineer looking to make a significant impact at Zwift, both internally and externally? Do you enjoy digging into new and emerging technologies and integrating them with existing tools to solve problems in new ways? Do you thrive in a dynamic environment where your contributions drive measurable business value? If so, we want you on our team at Zwift!

As an experienced technical leader in our software development team, you will be responsible for partnering closely with our Community Support team to design, develop, and launch solutions that will help us provide world-class support to our community of over one million active Zwifters. These Customer Support tools and systems are crucial in ensuring that customers can easily get help on any questions about Zwift, including hardware and subscription purchases to get in the game, and any new products, features, or partnership support in the future. You'll be part of a passionate engineering team with a clear focus on supporting Zwift's customer base and playing a key role in the success of the business, and will work across many of our product, engineering, and infrastructure teams.

Success in this role involves consistently delivering high-quality, maintainable code, and meeting project deadlines. The ideal candidate will effectively collaborate with cross-functional teams, proactively solve complex technical challenges, and continuously seek opportunities for improvement. Additionally, they will contribute to customer satisfaction, take full ownership of their work, bring innovative ideas, and foster positive team dynamics. 

If you’re ready to take your career to the next level, apply today!

What you’ll do:

• Partner closely with stakeholders in Zwift's Community Support organization and related teams to define requirements, build a roadmap, make trade-offs, and deliver end-to-end technical solutions, including the full software development life cycle.
• Identify and recommend improvements in tools and processes which can improve our customers' experience and the efficiency of our Community Support organization.
• Establish a deep understanding of the company's technical architecture and the implications of key technical decisions.
• Write clean, efficient, testable, and maintainable code for both front-end and back-end systems.
• Conduct code reviews and ensure code quality through automated testing (e.g., unit testing, integration testing, and similar).
• Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.
• Build and evangelize effective processes to eliminate technical risk and technical debt.
• Participate in on-call support, monitoring, and troubleshooting of all services owned by the team.
• Implement best practices for scalability, maintainability, security, and system performance.
• Lean into industry trends, especially in AI, ML, and LLMs, exploring opportunities to leverage these capabilities in new and innovative ways for Community Support applications.

What we’re looking for:

• Bachelor’s degree in Computer Science, Software Engineering, or similar discipline.
• 8+ years of relevant software engineering experience and 3+ years of full stack web development experience.
• Experience using, configuring and integrating contact center and community support tools, including: 
• Contact Center CRM applications (e.g., Kustomer, Zendesk, Salesforce, Oracle ServiceCloud).
• Automated support deflection tools (e.g. Zoom Virtual Assistant, Kustomer, or similar).
• Knowledge Base systems (e.g., Kustomer, Zendesk, Stonely, Yext)
• Support Voice applications (e.g., AirCall, Talkdesk, Freshcaller, Amazon Connect, Avaya).
• Peer-to-Peer forum moderation tools (e.g., Discourse, PlushForums).
• Social Media Support (e.g., Sprout Social, Hootsuite, etc.).
• Excellent communication skills with both technical and non-technical audiences.
• Demonstrated ability to work with full independence in situations where business problems and technology strategies may not yet be defined.
• Proficiency in front-end technologies and modern web development frameworks (e.g., React, Angular, Vue.js, etc.).
• Strong back-end development skills with experience in languages such as Java, Node.js, Python, or similar.
• Experience with relational and non-relational database technologies.
• Expertise in modern API design, development, and microservice architectures.
• Strong working knowledge of CI/CD pipelines and automated testing frameworks.
• Ability to solve complex problems through breadth of knowledge, influencing others, and focused domain expertise.
• Track record of leading by example in engineering best practices and mentoring other engineers.
• Adaptability and eagerness to learn new technologies as needed.

Bonus points:

• Experience with AI, ML, and LLM systems applied to the customer care domain (e.g. ChatGPT, Claude, Gemini, or similar).
• Experience defining and producing metrics and analytics, and using data analysis and business intelligence tools in data-driven decision making (e.g., Amplitude, Tableau, OpenSearch, or similar).
• Solid working knowledge of cloud-based infrastructure and AWS.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes, etc.).
• Experience working in Agile development environments (e.g., Scrum, Kanban).
• Experience working with experimentation and feature flag systems (e.g. Optimizely, or similar).
• Experience monitoring community feedback and engaging where appropriate.
• Familiarity with fundamentals of The Effortless Experience.
• Interest in building solutions that support our engaged Zwift Community of cyclists, runners, and fitness enthusiasts.

For All US Based Full-Time Positions:

The base salary for this position ranges between $149,500 to $238,500. The base salary will be based on a number of factors including the role offered, the individual's job-related knowledge, skills, qualifications, and geographic location. In addition to base salary, Zwift is proud to offer a comprehensive and competitive benefits package for all eligible employees which also includes performance bonuses, equity, and a full range of medical, financial, and other perks and benefits.

SUMMARY

We are looking for people who have a strong background in data science and cloud architecture to join our AI/ML Workload Services team to create exciting new offerings and capabilities for our customers! This team within the Professional Services group will be working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be highly technical and hands-on, where you will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators.

AS A SOLUTIONS ARCHITECT - AI/ML AT SNOWFLAKE, YOU WILL:

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload
• Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements
• Work hands-on where needed using SQL, Python, Java and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload
• Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
• Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them
• Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
• Provide guidance on how to resolve customer-specific technical challenges
• Support other members of the Professional Services team develop their expertise
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE: 

• Minimum 10 years experience working with customers in a pre-sales or post-sales technical role
• Skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
• Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models
• Experience and understanding of at least one public cloud platform (AWS, Azure or  GCP)
• Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks
• Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
• Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience

BONUS POINTS FOR HAVING: 

• Experience with Databricks/Apache Spark
• Experience implementing data pipelines using ETL tools
• Experience working in a Data Science role
• Proven success at enterprise software 
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc

Available Locations:Austin, New York, Lisbon, London (Hybrid or Remote)

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

Workers AI is Cloudflare’s AI inference service, enabling customers to use a wide variety of AI models both within Cloudflare’s Workers development platform and via API. The Workers AI team owns the whole stack that powers the product, from front-end development all the way to low-level inference code. Accordingly we’re a team with a diverse array of technical skills, but everyone on the team is curious and passionate about the possibilities of generative AI.

What You’ll Do

The Workers AI AI/ML team is responsible for deploying AI inference on the GPUs within Cloudflare’s network, as well as building innovative features that enable developers to incorporate AI into their own products. You will be a technical leader on the team responsible for maintaining the Workers AI model catalog as well as the Workers AI AI and ML inference code. You will be building products and APIs that will be used by others, and will add your strong sense of what makes a good developer experience to the team.

Examples of desirable skills, knowledge, and experience

• Experience setting the architecture and technical direction of large, cross-team and cross-functional engineering projects
• Strong communication skills
• Comfortable with tight deadlines and short release cycles
• Expert-level knowledge in Python for AI development, particularly pytorch or tensorflow.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

Medical/Rx Insurance, Dental Insurance, Vision Insurance ,Flexible Spending Accounts, Commuter Spending Accounts, Fertility & Family Forming Benefits, On-demand mental health support and Employee Assistance Program, Global Travel Medical Insurance

Financial Benefits

Short and Long Term Disability Insurance, Life & Accident Insurance401(k) Retirement Savings Plan, Employee Stock Participation Plan

Time Off

Flexible paid time off covering vacation and sick leave. Leave programs, including parental, pregnancy health, medical, and bereavement leave

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

From the moment someone first hears about Rocket Money, our team’s code gives users a seamless, valuable, and delightful first interaction with the product. We work closely with product, marketing, and data teams on tools and integrations that help us understand our users and drive favorable business outcomes like increased retention, engagement, and ROAS (return on ad spend).

Some of the things we regularly tackle include:

• Owning the systems that quickly and reliably bring data into the hands of automated systems, ML models, and decision-makers.
• Helping other dev teams understand and leverage our marketing and analytics stacks.
• Integrating a wide range of products to surface insights about user analytics, attribution, engagement, retention, and satisfaction.

ABOUT  YOU????

• You have 2+ years of experience as a full stack software engineer
• You have an entrepreneurial spirit, and are excited to use your technical skills to positively impact business outcomes alongside user privacy and experiences.
• Rather than specializing in one domain, you’re interested in solving a wide range of challenges and learning the technologies that’ll help you do so, from data pipelines to WYSIWYG landing page editors.
• You enjoy working within cross-functional groups spanning marketing, data, and finance.
• You have experience with growth/marketing engineering, working with tools like MMPs (eg Singular), analytics eventing and data engineering (e.g., Segment, GTM/GA, Fivetran), BI tools (e.g., Amplitude, Looker), and/or CRMs (eg Braze).
• You write clean, reliable code across a variety of platforms.

WE OFFER ????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Available Locations:Austin, New York, Lisbon, London (Hybrid or Remote)

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About The Team

Workers AI is Cloudflare’s AI inference service, enabling customers to use a wide variety of AI models both within Cloudflare’s Workers development platform and via API. The Workers AI team owns the whole stack that powers the product, from front-end development all the way to low-level inference code. Accordingly we’re a team with a diverse array of technical skills, but everyone on the team is curious and passionate about the possibilities of generative AI.

What you'll do

We are looking for a systems engineer to help us build and maintain the codebase that powers the Workers AI platform. This is a role for engineers that are familiar with Rust, WebAssembly, TypeScript and basic notions of Machine Learning and GPUs.

Examples of desirable skills, knowledge and experience

• Experience leading a high performing team that provides AI and ML inference
• Strong communication skills
• Comfortable with tight deadlines and short release cycles
• Expert-level knowledge in Python for AI development, particularly pytorch or tensorflow.
• Experience building large-scale distributed systems
• Obsession with performance and observability.
• Strong systems-level programming skills
• Expert-level knowledge in a modern compiled language like Go, Rust or modern C++

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

Medical/Rx InsuranceDental InsuranceVision InsuranceFlexible Spending AccountsCommuter Spending AccountsFertility & Family Forming BenefitsOn-demand mental health support and Employee Assistance ProgramGlobal Travel Medical Insurance

Financial Benefits

Short and Long Term Disability InsuranceLife & Accident Insurance401(k) Retirement Savings PlanEmployee Stock Participation Plan

Time Off

Flexible paid time off covering vacation and sick leaveLeave programs, including parental, pregnancy health, medical, and bereavement leave

Meet the team:

The TPM (Technical Product Management) team’s mission is to accelerate the delivery of Torc’s product goals, by leveraging our expertise in people, product, and process management. Specifically, theVirtual Driver TPM team partners with Technology, Product, Systems, Safety and others, to develop the core Autonomy software stack, as well as internal tools and processes to accelerate product development. We apply our leadership, product, and project management skills to bring people together across the company to accomplish Torc’s mission. 

What you will do: 

• As a Technical Product Manager, your focusis to translate the top-down corporate strategy and milestones into detailed product roadmaps,timelines and deliverables. As such, you are the centerpieceofProduct Management and Engineering. 
• The Machine Learning Training and Release Factory provides the development environments for training, deploying and testing machine learning models as well asto verify system components against their component and subsystem requirements. As a TPM, you will work with all leaders of the grouptomanageand align technical roadmaps and work with the individual teams on executingthem. 
• As the products of the group are internal, your customers are internal. You are working closely with them to prioritize thegroups'work on their demands. 
• As a TPM within the Virtual Driver product area, you will partner closely withthegroup leadershipto define a vision, strategyand roadmap for the suite of toolsand services the groupis responsible for. 
• Drive the development of solutions by clearly articulating the problem space and empowering engineering to design and implement innovative solutions.
• Be the voice of your internal customers and represent their needs, wants, and pain-points across Autonomy.  
• Work with your team/cross-functional departments to optimize processes to accelerate Torc’s go-to-market strategy.
• Use your technical and project management expertise to identify and mitigate risks and unblock project execution by proactively managing cross-functional dependencies. 

What You Will Need to Succeed

• Demonstrates competences and technical proficiencies typically acquired through:
• BS+ 4+ years of experience OR MS+ 3+ years of experience
• We are looking for a TPM with the experience in one of the following fields:   
  • Leading aroboticsmachine learning team throughagile development.
  • Product Owner of a robotics development team.
  • Experience withdata driven machine learning pipelining 
  • Knowledge ofmachine learning deployment.
  • Verification of ROS components in a robotics or autonomous driving context 
• Strong experience in project management; practical familiarity with both Agile and Waterfall methodologies and ability to apply them where best suited.
• Solid technical aptitude and an ability to understand technical designs, software development lifecycle, challenges and risks; ability to work closely with engineers.
• Strong written and verbal communication skills with the ability to adjust communication based on audience. 
• Independence and confidence, the ability to understand technical needs of your customers and the ability to say no. 

Bonus Points!

• Training in Product and/or Program Management
• Experience in the automotive or heavy-vehicle industry
• Experience with Jira and Confluence 

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance 

ABOUT THE ROLE

Galileo is looking for a Senior Product Manager to lead our patient experience team and build an engaging and streamlined acquisition and retention platform that improves healthcare quality and experience for all. Specifically, this product manager will own the strategy and execution of our iOS and Android patient-facing mobile applications and the web-based patient platform. The patient-facing user journey is a critical, high-impact, and high-visibility part of the Galileo product suite. 

What you’ll do

• Be relentlessly focused on creating products and capabilities that deliver a human-centric, innovative patient experience and leverage for clinicians over time 
• Act as the product owner, developing business cases, vetting opportunities, and ensuring work is prioritized in a logical way that meets the needs of the business and our patients
• Define core product metrics and collaborate with partner teams to ensure data logging and monitoring – this position will have a data-centric mindset that cares deeply about understanding the performance of its products 
• Work in close partnership with Data, Engineering, and Design to define product requirements and design considerations for all patient products 
• Participate in the agile software process including sprint planning, refinement, and retrospectives – with an eye on empowering your team to deliver high-quality work and continually improve
• Develop a deep understanding of our members to architect a cohesive, engaging, and supportive patient experience 

We’re eager to hear from you if:

• You have 5-8 years of in-role experience as a product manager 
• You have experience creating patient-facing products in a health-tech company. Additionally, fluency with ML-based product development is a plus
• You have experience with mobile application delivery through the Apple App Store and Google Play and mobile beta testing platforms, such as TestFlight
• You have analytical process improvement skills and aren’t afraid to roll up your sleeves in the spirit of optimization
• You’ve leveraged product analytics tools such as Mixpanel, Google Analytics, or Looker – and have demonstrated an ability for data-driven decision-making based on those insights
• You’re highly proficient with cross-functional collaboration and communication. You have a strong orientation toward problem-solving and decision-making in an open, collaborative environment and focus on making decisions that benefit our patients and the organization as a whole
• You’ve got a true ownership mindset regarding outcomes of what you build (successes and failures), as well as high standards for design and usability
• You are goal-driven, detail-oriented, and highly organized.
• You understand that the best ideas can come from anywhere and you foster a culture of innovation that leads to the best products and attracts the best team.
• You anticipate roadblocks and drive toward collaborative solutions to unblock your team. 
• You ruthlessly prioritize in collaboration with cross-functional peers. You balance quick wins with long-term platform investments appropriately. You know how to sequence projects and cut the ones that aren’t making an impact.
• You have a demonstrated track record of owning and maintaining a clear, prioritized backlog for the engineering team.

COMPENSATION RANGE:  

$195,000 + equity 

 BENEFITS

• Medical / Dental / Vision insurance
• Flexible Spending Account
• Health Savings Account + match
• Company paid STD/LTD, AD&D, and Life insurance
• Paid Family Leave
• 401K + match
• Paid Time Off

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

Our Industries Sales Engineering organization is seeking a Senior Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.

In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake’s Cloud Data Platform as a core technology enabling platform for the emerging Data Science workload throughout an organization.

As a Senior Architect focused on AI/ ML you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake’s Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

IN THIS ROLE YOU WILL GET TO:

• Apply your data science architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
• Work with our sales teams, product management, and partners to drive innovation in our Cloud Data Platform and adoption of Snowflakes core ML and GenAI technologies
• Partner with sales team and channel partners to understand the needs of our customers,  strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts 
• Collaborate closely with our Product team to effectively influence the Snowflake’s product roadmaps based on field team and customer feedback
• Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables,  conferences, events, blogs, webinars, and whitepapers

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

• 5+ years of experience building and deploying machine learning solutions in the cloud 
• Deep technical hands on expertise within Data Science tools and ecosystem 
• 2+ years of working with cloud native ML tools 
• Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Working knowledge with data engineering technologies and tools (dbt, Airflow, etc)
• Expert level knowledge of Data Science and ML fundamentals
• Working knowledge of deep learning concepts, techniques, and tools (Pytorch, Tensorflow, etc). 
• 2+ years experience building and deploying ML and data engineering applications and solutions on Spark
• Expert level knowledge of Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
• Working knowledge of SQL
• Introductory familiarity with LLM developer tools like langchain or LlamaIUndex 
• Industry Focus a plus (Financial Services, Healthcare & Lifesciences, Media, Retail / CPG, Manufacturing, Insurance, Technology and Telecom, or Federal)
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

OVERVIEW

Instacart’s core product is grocery delivery. Grocery delivery relies on high quality shoppers picking, paying for, and delivering grocery orders to customers. The Shopper team builds the technology to power each of these steps with the Engagement team focusing on helping shoppers find meaningful, rewarding, and fair work opportunities to put money in their pockets and deliver top shelf service for customers.

ABOUT THE JOB

You would be responsible for driving Engagement data science work which includes:

1. Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas
2. Impact sizing: Providing an estimated impact of implementing a new feature
3. Impact measurement: Running an experiment to determine the actual impact of newly launched product features
4. Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods

The two most important responsibility areas of this role are product strategy and intelligent systems.

Product strategy: The best products are built with diversity of thought. Data scientists uniquely understand the available data, the business domain, and the advanced methods that can be applied to the data to drive the desired business outcome. There are two primary methods data scientists would add value in product strategy:

1. Clearly articulate the right problem to solve to the team by providing a data-driven understanding of the problem area with the team as well as convincing the team of the most promising opportunity areas within the problem space
2. Contribute product ideas that leverage intelligent systems to solve the problems identified while collaborating closely with product, research, design, and engineering teams on the overall solution.

Intelligent systems: Intelligent systems make products smarter by combining deep domain expertise with advanced statistical or ML approaches. Data scientists are uniquely positioned to combine their understanding of the domain and advanced statistical methods to rapidly iterate on different approaches to building an intelligent system to solve an ambiguous problem. They would invest time in creating the initial version of the intelligent systems while partnering with MLEs and SWEs to maximize the impact, scalability, and maintainability of the system.

The role requires strong XFN collaboration where an ideal candidate can:

1. Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
2. Bring new ideas to the team that get incorporated into the product roadmap
3. Ruthlessly prioritize among requests from multiple competing stakeholders
4. Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals, and mentoring junior colleagues

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 YOU

Minimum Qualifications

• 6+ years of work experience in a data science or related field
• Led a team to adopt at least one new metric with which to measure the performance of the team
• Ran several sophisticated A/B tests at a company
• Built a machine learning or statistical model that made its way into production even if the code you wrote was completely rewritten before being deployed
• Experience with Python (pandas), SQL, git, and Jupyter notebooks

Preferred Qualifications

• 8+ years of work experience in a data science or related field
• Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team
• Significant causal experimentation experience in environments with small sample sizes  
• Built a complex machine learning or statistical model and deployed/supported it in production
• Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks