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

Carlyle

AlpInvest Embedded Data Scientist

New York, NY · On-site +1

$190K - $220K/yr

Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly with investment professionals across Primaries, Secondaries, and CoInvestments. This role sits at the ...

Snorkel AI

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 ...

TickPick

Data Scientist

New York, NY · On-site +1

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 ...

Bayer

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Extensive experience in Data Science capability assessment and analysis; Demonstrated ability to ...

Bayer

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

Remote work arrangements will not be accommodated for this role.YOUR TASKS AND RESPONSIBILITIES ... Extensive experience in Data Science capability assessment and analysis;Demonstrated ability to ...

Pinterest Job Advertisements

Sr. Data Scientist

New York, NY · On-site +1

$226K - $287K/yr

Telecommuting and/or remote employment permitted. Minimum Requirements: Master's degree (or a foreign equivalent) in Finance, Data Science, or a related field and three (3) years of experience in the ...

PortPro

Data Scientist

New York, NY · Remote

Experience with data science toolkits, such as NumPy, Pandas, Matplotlib. * Familiarity with Big Data tools and platforms, such as Hadoop, Spark, or similar. * Strong analytical skills with the ...

PortPro

Data Scientist

New York, NY · On-site +1

Experience with data science toolkits, such as NumPy, Pandas, Matplotlib. * Familiarity with Big Data tools and platforms, such as Hadoop, Spark, or similar. * Strong analytical skills with the ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...) * Strong knowledge of key programming concepts (e.g. split ...

Hang

Data Scientist

New York, NY · On-site +1

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. * 5-10+ years of proven experience as a Data Scientist or in a similar role. * Strong knowledge of ...

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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 Secaucus, NJ? The most popular types of Data Science jobs in Secaucus, NJ are:
What job categories do people searching Remote Data Science jobs in Secaucus, NJ look for? The top searched job categories for Remote Data Science jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Remote Data Science jobs? Cities near Secaucus, NJ with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Secaucus, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Data Engineer (Blockchain) - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$125K - $150K/yr

Full-time

Re-posted 9 days ago

Job description

NAVA Software solutions is looking for a Sr. Data Engineer (Blockchain)
Details:
Sr. Data Engineer (Blockchain)
Location: 100% Remote
Duration: 6-12 months
The Role:
  • You'll work with a cross-functional team of research scientists and engineers to contribute to our software and data platforms.
  • Drive the design and implementation of data models, ETL pipelines, and data processing logic while working closely with the other teams in order to translate operational data with microservices into business value.
  • Collaborate in proof of concepts (POCs) from research concepts and then lead building those in a production environment.
  • Work on complex problems ranging from mathematical proofs to big data processes to fueling research with blockchain, financial, and gaming metrics.
  • We are looking for someone with a curiosity for data and the ability to iterate quickly in an ambiguous environment.
  • Preferred experience with finance, gaming/crypto gaming, blockchain, or crypto protocols.
  • Bonus Domain expertise in one or more areas: finance, gaming, DeFi, cryptocurrency, blockchain, and smart contracts.

Required Experience
  • Advanced skills with python (or similar language) for data collection, analysis, and communication including familiarity with pandas package, object-oriented programming, and built-in functions.
  • Experience in Web3 including smart contract development, blockchain data, and DeFi protocols such as Uniswap.
  • Hands-on experience in AWS Cloud services including building and implementing server and serverless data engineering, data science, and analytics infrastructure. Bonus for experience integrating services such as Airflow.
  • Experience communicating and delivering results with data scientists, machine learning, and modeling valuable to implementing use cases.
  • Understanding of Test-Driven Development.
  • Good knowledge of ETL, data warehousing, and pipelines design.
  • Preferred 5+ years of experience in a data focused role including ETL, querying data with SQL, data modeling, data collection, data analysis, and data science.
  • Curiosity, empathy, and an interest in working with a team with a high degree of collaboration.
  • An ability to adapt and work under large amounts of uncertainty and ambiguity
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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