83 applied data scientist jobs at 52 companies in Valhalla, NY
1w
Save
Mark Applied
Hide
1w
Founding Applied Data Scientist
New York City, New York, United States
OnsiteFull Time
Outtake: AI platform for detecting and removing digital impersonation scams.
5+ YOE5+ years in engineering/analytics/data science; strong SQL and Postgres experience; building data pipelines, semantic layers, and product/business metrics; experience with AI evals and cross-functional collaboration.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
1+ YOEDoctorate+1yr or Master's+3yrs or Bachelor's+5yrs (or equivalent) in a quantitative field; experience in product/journey analytics, causal inference, experimentation, and data storytelling; proficiency with Python, R, SQL, KQL, PySpark and modern data platforms.
Python, R, SQL, KQL, PySpark, Fabric, Synapse, Azure Data Explorer (ADX), Delta Lake, Azure Data Factory (ADF), Databricks, Snowflake
Garner Health: Identifies high-quality doctors to lower employer healthcare costs.
3+ YOE3+ years shipping data-driven algorithms to production; strong applied problem-solving, metric definition, model judgment, and communication skills; ability to translate real-world healthcare constraints into optimization frameworks.
Arlington or Baltimore or Buffalo or Jersey City or Manchester or New York City or Philadelphia or Stamford
$175k-$200k/yrRemoteFull Time
Launch Potato: Digital media operating a portfolio of consumer brands.
5+ YOE5+ years applied data science experience building and deploying ML solutions in AWS for adtech or performance marketing; expert Python and SQL; strong modeling and business-first orientation.
Juul Labs: Produces electronic vaporizers and nicotine pods for adult smokers.
5+ YOE5+ years building industry analytics; expertise in SQL, dbt, BigQuery, Python (pandas); strong statistical foundation, causal inference and experimental design; ability to partner with commercial stakeholders.
Ro: Provides online doctor visits and mail-order prescription medications.
5+ YOE5+ years in data science or applied ML with 1+ year on applied LLMs; strong Python and SQL; experience building reproducible evaluation frameworks, experimentation, and statistical analysis; mentoring and cross-functional collaboration.
Flatiron HealthSIX Swiss Exchange: ROG: Provides oncology software and clinical data for cancer research.
1+ YOE1-3 years applied data science experience, experience evaluating AI/LLM systems, production collaboration, strong communication, and product-focused analytical skills.
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
Expertise in PyTorch or JAX, strong Python coding, experience training/deploying large models on GPU clusters, data generation and evaluation, excellent communication and research track record.
Warner Music GroupNASDAQ: WMG: A global music entertainment producing and publishing music.
3+ YOE3+ years experience applying econometric and statistical methods; proficiency with Python or R, SQL, and data visualization tools; degree in economics/econometrics/statistics/data science/applied mathematics; strong communication and problem-solving skills.
Mid-level Applied AI Data Scientist (Tableau Focus)
New York City, New York, United States
$93k-$112k/yrHybridFull Time
Capco: Global consultancy providing business and technology services.
3+ YOE3–7 years in data science/analytics; strong statistics and ML skills; hands-on Python with pandas, NumPy, scikit-learn; Tableau dashboarding; experience with NLP and translating analyses to business outcomes.
Minerva: AI platform for marketing data and campaign automation.
2+ YOE2+ years data science or applied ML/data engineering experience; highly proficient in Python and SQL; strong data engineering and production deployment experience; willing to work in-office in New York City.
Bedrock Robotics: Automates heavy construction machinery with AI retrofit kits.
5+ YOE5+ years in data science or applied ML, strong statistics and experimental design, proficiency in Python and SQL, experience with high-volume or real-time data, able to partner with engineering and product teams.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
6+ YOEPhD or Master’s with 6+ years of applied research in robotics/AI; deep learning and model development; robotics systems or embodied AI; evaluation methodologies for ML or robotic systems; teleoperation and human-in-the-loop data collection.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
10+ YOEPhD-preferred research data scientist with 10+ years applying causal inference and ML to large observational datasets; expertise in observational causal methods, communication skills, and productionizing pipelines.
Ramp: Financial operations platform for corporate cards and spend management.
5+ YOE5+ years in applied science or ML roles; PhD with 3+ years; strong stats, ML, optimization; Python/SQL; production ML experience for credit risk.
DatadogNASDAQ: DDOG: Observability and security platform for cloud applications and infrastructure.
10+ YOE10+ years in engineering or applied science; BS/MS/PhD in a scientific field or equivalent; proven ML/GenAI leadership; experience evaluating ML systems at scale; strong product mindset; thrives in ambiguity.
T-MobileNASDAQ: TMUS: Provides wireless voice, data, and mobile internet services.
4+ YOEAdvanced ML experience (4+ years), strong background in machine learning, big data, cloud platforms; bachelor's in quantitative field plus experience or advanced degree; strong Python/SQL skills.
Adonis: AI-powered automation platform for healthcare revenue cycle management.
8+ YOEEight plus years of experience in data science or applied ML; Python and SQL; production deployment experience; ML tooling; AWS; data pipelines; strong statistics.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
2+ YOEPhD (2+ yrs) or MS/BS (4+ yrs) in CS or quantitative field; practical LLM/GenAI experience; production ML deployment experience; proficiency with Python, SQL; experience with large datasets and ML frameworks.