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data engineer

Cognition

<div>
 
 We are an applied AI lab building end-to-end software agents.
 
 
 
 We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
 
 
 Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
 
 
 Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
 
 
 
 About The Role
 
 
 
 We're hiring a technical Data Engineer to own our full data stack &ndash; from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company.
 
 
 There are multiple openings across various teams: GTM, Core Product, and Finance.
 
 
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Design and manage database architecture and data models
 </li>
 <li>
 Build and maintain ETL/ELT pipelines and orchestration workflows
 </li>
 <li>
 Create and manage new data integrations across internal and external systems
 </li>
 <li>
 Own business reporting: datasets, dashboards, metrics, and self-serve analytics
 </li>
 <li>
 Ensure data quality, observability, governance, and documentation
 
 
 </li>
 </ul>
 
 Requirements For The Role
 
 
 
 <ul>
 <li>
 4+ years in a data engineering, data science, or full-stack data role
 </li>
 <li>
 Expert on SQL and Python (required)
 </li>
 <li>
 Experience with data modeling, warehouse architecture, and BI-oriented schema design
 </li>
 <li>
 Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
 </li>
 <li>
 Experience building or maintaining BI reporting (Metabase a plus)
 </li>
 <li>
 Experience developing scalable backend heavy applications
 </li>
 <li>
 Strong knowledge of statistics and experimentation
 </li>
 <li>
 Based in SF or NYC
 
 
 </li>
 </ul>
 Equal Opportunity
 
 
 Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
</div>

Data Engineer

Aircall

<div>
 Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
 
 
 Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
 
 
 Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
 
 
 At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
 
 
 
 How we work at Aircall:
 
 We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.
 
 
 
 About The Role
 
 
 
 The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
 
 
 In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
 </li>
 <li>
 Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
 </li>
 <li>
 Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
 </li>
 <li>
 Own the core company data pipeline, responsible for converting business needs to efficient &amp; reliable data pipelines.
 </li>
 <li>
 Participate in code reviews to ensure code quality and share knowledge.
 </li>
 <li>
 Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
 </li>
 <li>
 Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
 </li>
 <li>
 Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration
 
 
 </li>
 </ul>
 
 A little more about you:
 
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
 </li>
 <li>
 Proficient in SQL and Python, with the ability to translate complexity into efficient code.
 </li>
 <li>
 Experience with data workflow development and management tools (dbt, Airflow).
 </li>
 <li>
 Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
 </li>
 <li>
 Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
 </li>
 <li>
 Experience with data tooling, data governance, business intelligence and data privacy is a plus.
 
 
 </li>
 </ul>
 $130,000 - $200,000 a year
 
 
 This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
 
 
 Why join us?
 
 
 🚀 Key moment to join Aircall in terms of growth and opportunities
 
 
 💆&zwj;&female;️ Our people matter, work-life balance is important at Aircall
 
 
 📚 Fast-learning environment, entrepreneurial and strong team spirit
 
 
 🌍 45+ Nationalities: cosmopolite &amp; multi-cultural mindset
 
 
 💵 Competitive salary package &amp; benefits
 
 
 🏨 Medical, dental, and vision insurance is 100% covered
 
 
 📈 401k plan with company matching!
 
 
 ✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!
 
 
 ⭐️ Wellness, commuter, and childcare reimbursements
 
 
 💚 Generous parental leave policy
 
 
 DE&amp;I Statement:
 
 
 At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.
 
 
 We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
 
 
 We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
 
 
 Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Data Engineer/Senior Data Engineer, Data and Science

Data Engineer, Analytics (Technical Leadership)

Artie

<div>
 
 About Artie
 
 
 
 Artie is a real-time streaming platform that moves production data across systems in real time, with zero maintenance. We make high-volume data replication simple, reliable, and scalable for engineering teams.
 
 
 Our platform powers mission-critical use cases including fraud and risk monitoring, inventory visibility, customer-facing analytics, and AI workloads. Artie is built for engineers who care about performance, reliability, and operational simplicity &mdash; and we&rsquo;re growing fast.&zwj;
 
 
 We&rsquo;re trusted by teams like ClickUp, Substack, and Alloy, and backed by top-tier investors including Y Combinator, General Catalyst, Pathlight Ventures, and the founders of Dropbox and Mode.
 
 
 
 &zwj;About The Role
 
 
 
 We are a small team based in San Francisco looking to hire an engineer that has a dedicated focus around distributed systems. As an engineer, you will have the opportunity to wear multiple hats, directly interact with our customers and play a crucial role in shaping the future of our product.
 
 
 &zwj;
 
 
 This is a challenging and dynamic role and you will be working at the forefront of data engineering, distributed systems and infrastructure.
 
 
 &zwj;
 
 
 What you should expect &amp; examples of day-to-day tasks:
 
 
 <ul>
 <li>
 Building column encryption, launching our analytics portal and schema change alerts.
 </li>
 <li>
 Building tooling to streamline and automate infrastructure workloads.
 </li>
 <li>
 Introducing pipeline efficiencies by making tradeoffs between virtual memory and disk.
 </li>
 <li>
 Building native change data capture (CDC) connectors to data sources that we do not yet support.
 
 
 </li>
 </ul>
 &zwj;
 
 
 
 What we are looking for
 
 
 
 <ul>
 <li>
 Strong fundamentals in computer science
 </li>
 <li>
 Pragmatic and care more about building the right thing vs. being right
 </li>
 <li>
 Comfortable jumping around the stack and wearing different hats
 </li>
 <li>
 Someone that wants to take an active role in defining the next gen data platform that utilizes stream processing and CDC to drive data latency to zero, while also focusing on ease-of-use and extensibility
 </li>
 <li>
 Past experience working on scaling async systems and exposure to topics like gRPC, Kafka, Kubernetes, Helm is preferred but not required.
 </li>
 <li>
 Proficiency writing in Go is preferred, but not necessary.
 </li>
 <li>
 Happy to work in-person 5 days/week in San Francisco&rsquo;s Financial District with the rest of the team.
 
 
 </li>
 </ul>
 &zwj;
 
 
 
 Tech stack
 
 
 
 <ul>
 <li>
 Frontend: TypeScript (React and Material UI)
 </li>
 <li>
 Backend: Go, Postgres, Redis, Kafka and Elasticsearch
 </li>
 <li>
 Infra: Terraform, Kubernetes, and Helm on GCP and AWS
 
 
 </li>
 </ul>
 &zwj;
 
 
 
 Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 $150K&ndash;$300K base salary, depending on experience
 </li>
 <li>
 Competitive equity package
 </li>
 <li>
 Healthcare, 401(k), unlimited PTO
 </li>
 <li>
 Lunch &amp; dinner provided
 </li>
 <li>
 Visa sponsorship available
 
 
 </li>
 </ul>
 Compensation Range: $150K - $300K
 
 
</div>

Software Engineer

DoorDash

<div><h1 class="jobSectionHeader">About the Team</h1>

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.
<h1 class="jobSectionHeader">
About the Role</h1>

DoorDash is looking for a Softare Engineer II to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.
<h1 class="jobSectionHeader">
You're excited about this opportunity because you will&hellip;</h1>
<ul><li>Work with business partners and stakeholders to understand data requirements</li>
<li>Work with engineering, product teams and 3rd parties to collect required data</li>
<li>Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse</li>
<li>Develop and implement data quality checks, conduct QA and implement monitoring routines</li>
<li>Improve the reliability and scalability of our ETL processes</li>
<li>Manage a portfolio of data products that deliver high-quality, trustworthy data</li>
<li>Help onboard and support other engineers as they join the team</li>
</ul><h1 class="jobSectionHeader">We're excited about you because&hellip;</h1>
<ul><li>3+ years of professional experience working in data engineering, business intelligence, or a similar role</li>
<li>You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software</li>
<li>Proficiency in programming languages such as Python/Java</li>
<li>3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP</li>
<li>Expert in Database fundamentals, SQL and distributed computing</li>
<li>3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.</li>
<li>Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms</li>
<li>Excellent communication skills and experience working with technical and non-technical teams</li>
<li>Knowledge of reporting tools such as Tableau, Superset and Looker</li>
<li>Comfortable working in fast paced environment, self starter and self organizing</li>
<li>Ability to think strategically, analyze and interpret market and consumer information</li>
<li>You must be located near one of our engineering hubs indicated above</li></ul> 


We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023.

Please see the independent bias audit report covering our use of Covey here.<div><h2 class="jobSectionHeader">
About DoorDash</h2>

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. 
 
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
<h2 class="jobSectionHeader">
Our Commitment to Diversity and Inclusion</h2>

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on &quot;protected categories,&quot; we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce &ndash; people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection. 

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.</div></div>

Software Engineer II, Data Engineering

Samba TV

<div>
 
 
 Samba is a media intelligence company. We know what the world is watching, reading, and thinking about &amp;mdash; in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it&rsquo;s the most interesting data asset on the planet, because it&rsquo;s the most culturally relevant.&nbsp;
 
 
 
 
 
 
 
 
 
 
 ABOUT THE ROLE
 
 
 
 
 
 
 We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products.&nbsp;
 
 
 
 
 
 The role requires a deep, first-principles understanding of data science and machine learning &amp;mdash; not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role &amp;mdash; you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions.
 
 
 
 
 
 You will work closely with Data Engineering, Product, and go-to-market teams.
 
 
 
 
 
 
 
 
 
 WHAT YOU'LL DO
 
 
 <ul>
 
 <li>
 
 
 
 Write and own production-quality Python code end-to-end &amp;mdash; well-structured, tested, documented, and built to last; PySpark proficiency is essential for working with Samba's billion-row viewership datasets
 
 
 
 </li>
 
 <li>
 
 
 
 Design, build, and deploy measurement models and statistical frameworks that power Samba&rsquo;s campaign measurement, reach/frequency estimation, and cross-platform attribution products
 
 
 
 </li>
 
 <li>
 
 
 
 Apply the right statistical and ML technique to the right problem &amp;mdash; drawing from hierarchical models, Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record linkage &amp;mdash; and clearly articulate the reasoning behind your choices
 
 
 
 </li>
 
 <li>
 
 
 
 Build and evaluate multi-touch and multi-channel attribution models; apply Causal ML methods &amp;mdash; counterfactual modeling, meta-learners (S-learner, T-learner, X-learner), and heterogeneous treatment effect estimation &amp;mdash; to advertising and viewership measurement problems
 
 
 
 </li>
 
 <li>
 
 
 
 Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable, scalable, and production-ready
 
 
 
 </li>
 
 <li>
 
 
 
 Lead technical design reviews and contribute meaningfully to architecture decisions across the Data Science team
 
 
 
 </li>
 
 <li>
 
 
 
 Mentor junior Data Scientists through code review, pairing, and structured technical feedback &amp;mdash; raising the team's technical floor
 
 
 
 </li>
 
 <li>
 
 
 
 Communicate measurement methodologies and findings clearly to technical and non-technical audiences, including senior leadership and external clients
 
 
 
 </li>
 
 </ul>
 
 
 
 
 
 WHO ARE YOU
 
 
 <ul>
 
 <li>
 
 
 
 5-7 years of professional data science experience &amp;mdash; hands-on, delivery-focused, and measurable in shipped models and production systems
 
 
 
 </li>
 
 <li>
 
 
 
 Expert-level Python &amp;mdash; clean, modular, testable, production-ready code is your standard, not your aspiration
 
 
 
 </li>
 
 <li>
 
 
 
 Advanced PySpark and Databricks &amp;mdash; comfortable building and optimizing data pipelines and ML workflows on billion-row datasets
 
 
 
 </li>
 
 <li>
 
 
 
 Deep, first-principles command of statistics and ML &amp;mdash; you can explain from the ground up how these models work and you apply this understanding to make better modeling decisions
 
 
 
 </li>
 
 <li>
 
 
 
 Solid grasp of experimental design &amp;mdash; A/B testing, randomization, power analysis, and the conditions under which observational causal inference is appropriate
 
 
 
 </li>
 
 <li>
 
 
 
 Fluent in the full ML lifecycle: feature engineering, model evaluation, deployment pipelines, drift monitoring, and iterative improvement in production
 
 
 
 </li>
 
 <li>
 
 
 
 Hands-on experience with uplift modeling, synthetic control, difference-in-differences, or propensity-based approaches applied to advertising or media outcomes
 
 
 
 </li>
 
 <li>
 
 
 
 Strong ownership mindset &amp;mdash; you drive projects independently and are comfortable owning your models from data exploration through production delivery, with minimal hand-holding.
 
 
 
 </li>
 
 <li>
 
 
 
 Clear communicator &amp;mdash; able to translate statistical reasoning and model behavior into language that drives decisions with product, engineering, and leadership
 
 
 
 </li>
 
 </ul>
 
 
 <ul>
 
 <li>
 
 
 
 Experience with multi-touch attribution (MTA) or multi-channel attribution modeling &amp;mdash; understanding of the limitations of rule-based approaches and the methodological trade-offs of data-driven alternatives
 
 
 
 </li>
 
 <li>
 
 
 
 Hands-on experience with Causal ML methods &amp;mdash; counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation &amp;mdash; applied to advertising or media measurement outcomes
 
 
 
 </li>
 
 <li>
 
 
 
 Direct exposure to TV or digital viewership data &amp;mdash; ACR signals, STB data, viewership panels, or cross-platform measurement (linear + CTV/OTT)
 
 
 
 </li>
 
 <li>
 
 
 
 Familiarity with the measurement
 
 
 
 </li>
 
 <li>
 
 
 
 t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC, GRP/TRP frameworks)
 
 
 
 </li>
 
 <li>
 
 
 
 Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field &amp;mdash; or equivalent depth demonstrated through work
 
 
 
 </li>
 
 </ul>
 
 
 
 
 
 
 
 
 
 Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
 
 
 
 &nbsp;
 
 
 
 
 Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
 
 
 For further details, please see Samba's
 
 
 Applicant Privacy Policy
 
 
 .
 
 
 For residents of the EU , Samba Inc. is the data controller.
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 Samba expects to offer a base salary between
 
 $150,000 - $180,000 USD
 
 per year for roles to be performed in San Francisco or California; actual base salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
</div>

Data Scientist

Shipt

<div>
 
 Impact
 
 
 
 As a Data Scientist specializing in geospatial intelligence, you will help power the next generation of final-mile logistics. This role will develop advanced models and data systems that leverage location, routing, traffic, and spatial signals to improve delivery success, reduce operational costs, and create a better experience for customers and drivers.
 
 
 In this role you will work with large-scale GPS traces, mapping data and geospatial datasets. You will collaborate with product ,managers, logistic operators and software engineers to turn models into real-world systems. You will design experiments and translate complex geospatial insights into actionable operational decisions.
 
 
 
 
 What You&rsquo;ll Need to Be Successful
 
 
 
 
 <ul>
 <li>
 MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields
 </li>
 <li>
 2+ years of experience with geospatial data (ex. GPS traces, spatial indexing systems, or routing systems)
 </li>
 <li>
 Strong understanding of predictive modeling, feature engineering, experimentation and causal inference
 </li>
 <li>
 Strong Python skills with experience in libraries such as: pandas, scikit-learn, PyTorch or TensorFlow
 </li>
 <li>
 Ability to work with large datasets and distributed systems (ex. Spark, BigQuery, Snowflake, etc.)
 
 
 </li>
 </ul>
 
 Pay Range: $76,100- $130,000
 
 
 
 
 
 Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
 
 
 
 
 
 Skills &amp; Education
 
 
 
 This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below.
 
 
 Data Science, Geospatial Data, Geospatial Modeling, Python (Programming Language)
 
 
 Bachelor's Degree or equivalent experience&emsp14;| Required
 
 
 
 Work Arrangement
 
 
 
 Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.
 
 
 
 About Shipt
 
 
 
 Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities.
 
 
 At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More.
 
 
 Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt&rsquo;s company site at Shipt.com.
 
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law.
 
 
 
 
 Please inform your recruiting contact upon initial connection if you need a reasonable accommodation. If you need assistance filling out a job application, please complete this form.
 
 
 For technical interviews, Shipt uses an online coding platform. In the event you may need a reasonable accommodation to use the online coding platform, please connect with your recruiter.
 
 
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 
 Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company&rsquo;s 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.
 
</div>

Explore 63+ Data engineer in San Francisco this June. Find roles across top companies and apply now to boost your career.

63 data engineer jobs In San Francisco

Data Engineer

Data Engineer/Senior Data Engineer, Data and Science

Data Engineer, Analytics (Technical Leadership)

Software Engineer

Software Engineer II, Data Engineering

Data Scientist

Data Scientist