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Remote Data Science Jobs in Union, NJ (NOW HIRING)

Qualifications & Skills Experience: 3+ years of professional experience in data science, predictive ... Flexible work arrangements (Hybrid / Remote). Generous paid time off (PTO) and professional ...

New

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help customers integrate and develop recommendation models using the Shaped Platform.

Data Scientist III

New York, NY · On-site +1

$172K - $219K/yr

Telecommuting: 100% Remote. REQUIREMENTS: This position requires a bachelor's degree or foreign equivalent in Data Science, Business Administration, Actuarial Science or a related field and 5 years ...

Lead Data Scientist

New York, NY · On-site +1

$130K - $200K/yr

Critical-path data science projects * 20% : Partnering with Engineers, PMs, DaaS operational leads, and Finance What You'll Do * Own Generative AI Analytics: Build and maintain end-to-end infra ...

BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or ... A hybrid in-office approach, enabling remote work a portion of each week * Health Care Plan ...

Data Scientist, Cybersecurity

New York, NY · On-site +1

$263K - $515K/yr

About the Team OpenAI's Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams ...

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Showing results 21-40

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in Union, NJ?

The most popular types of Data Science jobs in Union, NJ are:

What are popular job titles related to Remote Data Science jobs in Union, NJ?

For Remote Data Science jobs in Union, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Union, NJ look for?

The top searched job categories for Remote Data Science jobs in Union, NJ are:

What cities near Union, NJ are hiring for Remote Data Science jobs?

Cities near Union, NJ with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Union, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

ApexCare Talent Solutions

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


Job description

We are seeking an analytical and impact-driven Data Scientist to join our team. In this role, you will turn complex, multi-source data into actionable insights, predictive models, and strategic recommendations. Working closely with product, engineering, and business stakeholders, you will build data-driven solutions that solve core business challenges and optimize performance. Key Responsibilities Predictive Modeling & ML: Design, develop, and validate predictive models, statistical algorithms, and machine learning solutions using Python or R. Data Exploration & Analysis: Perform exploratory data analysis (EDA) to discover trends, patterns, anomalies, and opportunities across large datasets. Feature & Data Engineering: Extract, clean, transform, and aggregate data from relational and non-relational databases for analysis and model training. A/B Testing & Experimentation: Design, execute, and analyze controlled experiments (A/B testing) to evaluate product changes, strategy efficacy, and user behavior. Data Visualization & Storytelling: Create clear, interactive dashboards and visualizations (e.g., Tableau, Power BI, Looker) to communicate technical findings to non-technical leaders. Cross-Functional Collaboration: Partner with product managers and engineers to embed machine learning models into production services and data pipelines. Qualifications & Skills Experience: 3+ years of professional experience in data science, predictive analytics, or statistical modeling. Programming: Advanced proficiency in Python (Pandas, NumPy, Scikit-Learn, SciPy) or R. Database & SQL: Strong mastery of complex SQL queries, data warehousing, and data extraction. Mathematics & Statistics: Solid grounding in statistical inference, hypothesis testing, regression analysis, and machine learning fundamentals. Business Acumen: Ability to translate abstract business problems into concrete analytical solutions with measurable KPIs. Preferred Qualifications Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a quantitative field. Experience with cloud analytics environments (AWS SageMaker, BigQuery, Snowflake, or Databricks). Familiarity with deep learning frameworks (PyTorch or TensorFlow) or NLP techniques. What We Offer Competitive base salary and performance bonuses. Comprehensive health, dental, and vision insurance coverage. 401(k) retirement plan with company match. Flexible work arrangements (Hybrid / Remote). Generous paid time off (PTO) and professional development stipend.