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At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters.…
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500…
Senior engineer on LinkedIn's Data Science team building full-stack data applications, self-serve tools, data pipelines, and metrics foundations that drive business decisions. The work spans front-end/back-end development and data engineering, using SQL, languages like Python/Java, and LinkedIn's AI-enabled data stack, in a hybrid role based in Mountain View, CA.
Staff Data Scientist at Nextdoor owning end-to-end analytics and experimentation for content surfaces like Video, Groups, and Events — designing advanced A/B, quasi-, and network experiments, owning content data architecture and quality, and shaping product strategy with SQL and Python.
Senior data scientist on Apple's Services Product Data Science & Analytics team, owning data-driven strategy and building scalable ML, experimentation, and causal inference solutions for media services like Apple Music, Apple TV, Podcasts, and Fitness+. Core stack is Python and SQL, with statistical modeling, experimentation platforms, and production ML.
Senior Data Scientist at Kard builds and ships machine learning and experimentation systems for a card-linked offers platform — offer personalization, ranking, targeting, and causal ROI measurement on large-scale transaction data. Core stack: Python, SQL, PyTorch/XGBoost, Spark, Airflow, dbt, AWS/GCP.
Чем нужно будет заниматься: Цель: Построение прогнозных моделей спроса/предложения, моделей эластичности, оптимизация цены с использованием ML. Ключевые задачи: - Построение прогнозных моделей спроса и предложения -…
About Us Cooper Norcross Health, formerly Cooper University Health Care, is a leading academic health system affiliated with Cooper Norcross Medical School of Rowan University. Headquartered in Camden, New Jersey,…
Using data, you will play a crucial role in driving decision-making and delivering impactful insights to our stakeholders. You will apply advanced analytical techniques, build Machine Learning (ML) models, and use…
Team & Project Overview The NBS Data Central team powers analytics, data science, and AI capabilities for Worldwide Global Selling (WWGS). We build scalable data products, and insight-generation systems that drive…
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed…
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed…
&#xa; Department: Technology Reports to: Senior Director, Data Science and Machine Learning Location: Remote; hybrid to NYC office highly preferred Travel: < 10% Salary Range: $99,800 - $132,300 Vibrant…
Builds and validates predictive models and statistical analyses to improve quality, accelerate growth, and optimize operations in a regulated pharmacy environment using Python, SQL, and cloud platforms.
Senior individual-contributor data scientist at Strava (San Francisco, hybrid 3 days/week on-site) who designs measurement strategies for complex initiatives using experimental and quasi-experimental causal methods, evolves company-wide metric strategy, and serves as the inference domain expert across the data org. Core tools: SQL and Python.
Leads data-driven product decisions by designing experimentation frameworks, mentoring teams, and influencing roadmaps with insights; core tools: SQL, dbt, Snowplow, Amplitude.
Senior Data Analyst at inDrive (Almaty) who owns the Forecasting product: running and improving daily/monthly forecasts of supply, demand and financial metrics in Python and BigQuery, supporting planning cycles with scenario analysis, and explaining variances to business stakeholders in plain business terms.
As an Applied AI/ML Scientist tech lead at Faire, you'll own strategy and execution for a two-sided marketplace, developing personalized recommendation, LTV prediction, and causal inference models using machine learning, deep learning, and LLMs, while mentoring scientists and solving marketplace growth/quality challenges.
The Computational Policy Lab at the Shorenstein Center at Harvard Kennedy School (HKS) is seeking a Senior Software Engineer with specialized expertise in software development, generative AI, and data science. This…
A senior/manager-level data scientist supporting Walmart's Global eCommerce, designing and deploying machine learning and deep learning models for personalization, pricing, demand forecasting, seller performance, search ranking, and fraud detection at scale. Core stack: Python, SQL, TensorFlow/PyTorch, Spark, and cloud/MLOps tooling.
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