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

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data Scientist to serve as ... Ability to work seamlessly with a highly technical remote data team (India) while acting as the ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Remote, however travel might be required as per business requirements FTE Only Where you're headed You'll creatively use data to solve business challenges, often uncovering new and transformative ...

Arlyn AI

Principal / Senior Data Scientist

New York, NY · Remote

$175K - $255K/yr

Arlyn AI - AI-Powered Insights for Life Science Arlyn AI (Formerly Quantile) is a New York-based ... Principal / Senior Data Scientist We're looking for a data-driven problem solver to leverage large ...

Kontakt.io

Data Scientist Lead

New York, NY · Remote

As a Data Science Lead , you will play a pivotal role in designing, developing, and deploying machine learning models that drive AI-powered automation across healthcare operations. You will own end ...

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems. * Mentor and develop ...

Known

Director, Data & Media Science

New York, NY · On-site +1

We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge ...

Known

Data Scientist, Media Consultant

New York, NY · On-site +1

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company ... We are about 200+ people strong, pairing PhD data scientists with award-winning creatives ...

De Circle

Data Scientist - DyDx

New York, NY · On-site +1

Bachelor's or Master's degree in quantitative fields (Computer Science, Statistics, Economics) or a related field * 4+ years of experience in data science, analytics, product analyst or a similar ...

Meta

Data Scientist (Technical Leadership)

New York, NY · On-site +1

$210K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 8+ years of experience in data science or analytics, leading analytics work ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Freehold, NJ

Remote Data Science information

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 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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Freehold, NJ? The most popular types of Data Science jobs in Freehold, NJ are:
What job categories do people searching Remote Data Science jobs in Freehold, NJ look for? The top searched job categories for Remote Data Science jobs in Freehold, NJ are:
What cities near Freehold, NJ are hiring for Remote Data Science jobs? Cities near Freehold, NJ with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Freehold, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Director of Data & Analytics

Jackpot

New York, NY • On-site, Remote

$170K - $200K/yr

Full-time

Re-posted 14 hours ago

Job description

ABOUT THE ROLE:

We're looking for a Director of Data & Analytics, responsible for shaping the vision, strategy, and execution across Data Analytics and Data Science. Reporting to the Chief Strategy & Data Officer, you'll build and manage a data organization that powers product development, personalization, experimentation, and business intelligence. You'll have an AI-first mentality in proactively seeking new and innovative ways to embed AI in our data organization.

If you're looking for the opportunity to build a modern data organization from the ground up at a high-growth consumer startup — this may be the perfect role for you.

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify.

WHAT YOU'LL DO:

  • Set the vision and strategy for Data Analytics and Data Science
  • Partner with Data Engineering to modernize our data infrastructure
  • Own the data platform, including pipelines, warehousing, modeling, governance, observability, and reliability
  • Be the AI thought leader, finding new and innovative ways to leverage AI to improve the business
  • Develop predictive and machine learning models that power personalization, fraud detection, forecasting, and user behavior prediction
  • Partner cross-functionally with Product, Engineering, Marketing, Finance, Operations, and Compliance to drive strategy and decision-making
  • Create dashboards and analytical tools to empower self-service and automate insights
  • Create a world-class experimentation program, including statistical rigor, tools, design, and rollout frameworks
  • Champion data-driven decision-making and raise the data IQ across the company

YOU IDEALLY HAVE:

  • 10+ years of experience across Data Analytics, Data Science, and Data Engineering, with at least 3+ years leading multi-disciplinary data teams.
  • Proven experience owning and scaling a modern data stack (Snowflake/BigQuery, dbt, Airflow, Databricks, Fivetran, etc.).
  • Strong technical proficiency in SQL and Python.
  • Proficiency in leveraging AI across data verticals and an eagerness to continue to learn more
  • Experience building and maintaining production-level data pipelines and ML models.
  • Experience with A/B testing frameworks, causal inference, and experimentation platforms
  • Demonstrated ability to translate sophisticated data concepts into clear, actionable insights.
  • Excellent communication, prioritization, and stakeholder-management skills.
IT'S A BONUS IF YOU HAVE:
  • Background in gaming, lottery, fintech, or other regulated industries
  • Experience with real-time data architectures (Kafka, Kinesis)
  • Experience with consumer personalization systems, recommendation models, or lifecycle optimization
  • Familiarity with MarTech and CDPs (Optimove, Braze, etc)
  • Expertise in LTV modeling, and fraud/risk models
  • Experience in high-growth consumer or tech startups

ABOUT YOU:

  • You work extremely well cross-functionally and are autonomous and proactive in your output
  • You thrive under competing priorities and know how to structure your time and team
  • You have grit, perseverance, and a founder mentality
  • You are solutions-oriented, adaptable, and calm in ambiguity
  • You embrace feedback and continuous learning - you're not a finished product and don't want to be

One of Jackpot's core values is Lifelong Learning. We don't believe we are ever finished products and strongly believe in growing and developing to improve ourselves. If what you've read so far sounds exciting but your experience doesn't quite match what we're looking for, we strongly encourage you to apply anyway! We are committed to building a diverse, inclusive team where everyone can feel proud to contribute to.

WHAT WE CAN OFFER:

  • $170,000-$200,000 base salary + bonus + equity
  • The opportunity to have a voice, say, and "leave your fingerprints" on our product and business
  • A commitment to provide you with the benefits of a start-up career without the start-up pains
  • Benefits on par with leading, progressive tech companies (think 100% employee-only coverage, monthly HSA contribution, mental health offerings, etc.)
  • 401(k)
  • Paid parental leave
  • PTO/Sick Time
  • Dedication to Lifelong Learning through our Monthly Speaker Series
  • A culture of trust and accountability