588 data science engineer jobs at 266 companies in Clark, NJ
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Data Science Application Developer
Sofia or Dresden or Singapore or New York City or Vermont
HybridFull Time
GlobalFoundriesNASDAQ: GFS: Global semiconductor foundry manufacturer and design services provider.
3+ YOEBS or MS in computer science or software engineering, 3 years of experience, expert Python, JavaScript, or R development, data analysis, cloud technologies, SQL or database experience, and strong communication skills.
JFK International Air Terminal: Private airport-terminal operator running Terminal 4 at JFK for airlines and travelers.
5+ YOEBachelor’s degree in a related quantitative or technical field; 5–8 years in data engineering, data science, analytics, BI, or architecture. Requires SQL, data pipelines, cloud platforms, Python/R, governance, and machine learning expertise.
SQL, Microsoft Azure, Microsoft Fabric, Azure SQL, Synapse, Data Factory, Python, R, Alteryx, Power BI, Data Analysis Expressions (DAX)
Artefact: Data and AI consulting and transformation services.
8+ YOE8+ years in data science/ML with 2–3 years on LLMs, expertise in generative AI, context/agent engineering, fine-tuning pipelines, production ML, and pre-sales; Master’s degree preferred.
Google Gemini Enterprise, Vertex AI, Microsoft AI Foundry, AWS Bedrock, scikit-learn, XGBoost, LangGraph, LangChain, Google ADK, Claude Agent SDK, PyTorch, TensorFlow
SoFiNasdaq Global Select Market: SOFI: Public U.S. digital financial-services helping members borrow, save, spend, invest, and protect their money.
7+ YOE3+ MgmtBachelor's in a technical field,7+ years data science or software engineering experience,3+ years management experience,proficiency with Airflow,DBT,Snowflake,SQL,Python and BI tools,experience deploying ML at scale.
Minerva: AI marketing platform helping consumer brands use first-party data for customer acquisition and campaign measurement.
2+ YOERequires 2–5+ years in data engineering, software engineering, or applied data science; strong Python and SQL proficiency; production pipeline, data modeling, cleaning, ingestion, and end-to-end ownership experience.
Trepp: Private financial-data and analytics provider serving structured-finance, commercial-real-estate, and banking professionals.
8+ YOE4+ MgmtBachelor's degree and 8+ years in data science, quantitative modeling, or applied machine learning, including 4+ years leading engineering teams. Requires Python, data science libraries, SQL, cloud AI deployment, and LLM concepts.
Clay: Private software providing go-to-market automation, data enrichment, and AI research tools for sales and marketing teams.
6+ YOE2+ MgmtRequires 6+ years in data science or analytics, 2+ years managing data scientists or analytics engineers, strong experimentation, statistics, modeling, metric design, stakeholder management, and data storytelling skills.
Cubist Systematic Strategies: Cubist is Point72’s private systematic investment business, designing computer-driven trading strategies across multiple liquid asset classes.
1+ YOEMaster's or PhD in math, computer science, engineering, or related field; 1–3 years' software development or data science experience; Python proficiency and quantitative and programming skills.
Percepta: Applied AI transformation embedding engineers, researchers, and product managers in critical institutions.
Experience across data engineering, data science, or ML engineering; build pipelines, models, and tooling for enterprise AI; product instincts and strong communication in customer-embedded settings.
New York City or San Francisco or Los Angeles or Irvine or McLean or Washington
$94k-$175k/yrHybridFull Time
Thomson ReutersNASDAQ: TRI: Provides professional software, data, and news services globally.
Several years data engineering experience, bachelor\u0002s in computer science/engineering, proficiency with Python and SQL, RESTful services, relational and document DBs, Linux/Windows, AWS; US Secret clearance required to start (TS preferred).
Python, SQL, RESTful web services, AWS Glue, Snowflake, NIFI, Power BI, Tableau, Linux, Windows, AWS
Manager, Data Science - Consumer Identity Machine Learning
San Jose or McLean or New York
$197k-$225k/yrOnsiteFull Time
Capital OneNYSE: COF: A technology-driven bank providing diverse financial services.
Strong data science and ML skills; experience with large-scale data, Python, Spark; collaboration with product/engineering; open-source and cloud experience; multiple degree options with required years of analytics experience.
Austin or Chicago or New York City or San Francisco or San Jose or Seattle or Los Angeles or Washington
$118k-$257k/yrOnsiteFull Time
DoorDashNYSE: DASH: Technology enabling local on-demand delivery and commerce.
2+ YOEDegree in a quantitative or technical field; 2–6+ years in analytics or data engineering; strong SQL, Python or Scala, dashboarding, databases, ETL/ELT, data quality, and communication skills.
Ascot Group: Bermuda-based global specialty insurance and reinsurance group serving clients with property, casualty, and other risk solutions.
2+ YOEBachelor's in information systems, computer science, data analytics, or related field; 2+ years in data warehouse/data engineering; experience with ETL tools; strong SQL; insurance domain knowledge desired; data modeling understanding.
Bank of AmericaNYSE: BAC: Global financial services and banking institution.
3+ YOEBachelor’s degree in computer science or data engineering and 3+ years of experience. Requires Starburst, Kubernetes, YAML, OpenShift, Hadoop, SQL, Linux, databases, data warehousing, and Python skills.
New York Blood Center: Nonprofit blood-center network supplying blood and stem-cell products and medical services to hospitals and patients.
6+ YOE6+ years data engineering experience; bachelor’s in CS/Data Science/IT or related; expert SQL and Python (PySpark); deep Azure data platform experience (ADF, Databricks, Synapse, ADLS); data modeling, pipeline ownership, governance, and HIPAA compliance.
SQL, Python, PySpark, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Microsoft Purview, Microsoft SQL Server, Oracle, CI/CD
Gen II Fund Services: Independent private-capital fund administrator providing fund administration, tax, compliance, and AIFM services to asset managers and investors.
4+ YOEBachelor's degree in computer science or related field; 4+ years of data engineering experience; 2+ years of Snowflake; dbt, SQL, data pipelines, APIs, Python, Azure DevOps, and data architecture experience; team leadership experience.
Gen II Fund Services: Independent private-capital fund administrator providing fund administration, tax, compliance, and AIFM services to asset managers and investors.
4+ YOEBachelor's degree in computer science or related field; 4+ years of data engineering experience; 2+ years of Snowflake; dbt and SQL; data ingestion, APIs, Python, security, governance, and team leadership.
Snowflake, dbt, Intacct, Salesforce, Microsoft Power BI, FiveTran, Python, Azure DevOps, SQL
Bank of AmericaNYSE: BAC: Global financial services and banking institution.
3+ YOEBachelor's degree in computer science or data engineering; Starburst, Kubernetes, containers, YAML, OpenShift, Hadoop, SQL, Linux, databases, data warehousing, and Python experience required. 3+ years of Starburst experience desired.
The Museum of Modern Art: Nonprofit modern and contemporary art museum connecting people worldwide to art, exhibitions, education, research, and publications.
4+ YOEBachelor's or Master's in Computer Science or related, 4+ years data engineering experience, strong data modeling, stakeholder partnership, GCP/BigQuery/ETL and SQL proficiency, Python/pandas experience, and mentoring ability.
Google Cloud Platform (GCP), BigQuery, Cloud Storage, Dataflow, MS SQL Server, PostgreSQL, Apache Airflow, Google Cloud Composer, Python, pandas, C#, nodeJS, Ruby, Linux, Windows, Git
GoogleNASDAQ: GOOG, GOOGL: Global technology specializing in internet-related services and products.
8+ YOE8+ years in software development, data pipelines, C++, Java, Python, or Go; BS in Computer Science or related field; experience with large-scale data systems.