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

Bread Financial

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 ...

Shaped

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.

OpenX

Data Scientist III

New York, NY · Remote

Own the end-to-end data science lifecycle for moderately complex models and significant project components -- spanning data ingestion, feature engineering, modeling, validation, deployment ...

OpenX

Data Scientist III

New York, NY · On-site

Own the end-to-end data science lifecycle for moderately complex models and significant project components - spanning data ingestion, feature engineering, modeling, validation, deployment, monitoring ...

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

Remote Data Science information

See Clifton, NJ salary details

$23.7K

$105.6K

$201.6K

How much do remote data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data science in Clifton, NJ is $105,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,561.00 and $146,507.00 per year, depending on experience, location, and employer.

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.
More about Remote Data Science jobs

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

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

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

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

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

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

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Clifton, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $105,627 per year, or $50.8 per hour.

Senior Data Scientist - USA Remote

BMC Software, Inc.

New York, NY • On-site, Remote

Full-time

Posted 22 days ago

Job description

Basic Information
Job Name
Sr Data Scientist - USA
Country
United States
State
NA
Date Published
12-Aug-2026
Job ID
47415
Travel
You may occasionally be required to travel for business
This role can be based remotely in United States
Looking for more details about our benefits? You can also learn all about them by clicking HERE
Description and Requirements
BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world's largest organizations so they can seize a competitive advantage.
Senior Data Scientist
We are seeking a highly skilled Data Scientist with deep experience in B2B SaaS to lead the development of advanced analytics, predictive models, and AI-driven insights that improve business performance and customer outcomes. This role will partner closely with teams across Product, Sales, Marketing, Customer Success, and Data teams to solve high-impact business problems using data science.
The ideal candidate brings a strong foundation in statistical modeling, machine learning, experimentation, and business analytics, combined with a practical understanding of key SaaS metrics such as ARR, NRR, churn, retention, expansion, pipeline conversion, customer health, and product adoption. This person must be able to move fluently between technical depth and business context, translating complex data into actionable recommendations that influence strategy and execution.
Key Responsibilities
  • Develop and deploy predictive and prescriptive models to solve critical business problems across the B2B SaaS lifecycle.
  • Build data science solutions for use cases such as customer churn prediction, upsell propensity, lead scoring, pipeline forecasting, product adoption, customer segmentation, pricing optimization, and customer health scoring.
  • Partner with Sales, Operations, Marketing, and Customer Success teams to identify opportunities where data science can improve growth, retention, and operational efficiency.
  • Design and analyze experiments, A/B tests, and quasi-experimental studies to measure the impact of product, marketing, and sales initiatives.
  • Apply statistical methods and machine learning techniques to large, complex datasets from CRM, product telemetry, marketing, support, finance, and customer systems.
  • Translate business questions into structured analytical approaches and communicate findings clearly to executive and cross-functional stakeholders.
  • Collaborate with data engineers, analytics engineers, BI teams, and architects to ensure scalable data pipelines and production-ready modeling workflows.
  • Monitor model performance, validate assumptions, and continuously improve model accuracy, explainability, and business relevance.
  • Support the development of self-service insights, reusable data science assets, and scalable frameworks for decision-making.
  • Document methodologies, assumptions, and business impact in a clear and reproducible manner.

Required Qualifications
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science,
Mathematics or a related quantitative field.
• 8+ years of experience in data science & machine learning, with significant
experience in B2B SaaS environments.
• Strong expertise in machine learning, statistical modeling, forecasting,
experimentation, and causal analysis.
• Strong proficiency in Python and advanced SQL skills.
• Experience working with large-scale business, sales, and product datasets,
including CRM, telemetry, subscription, and customer data.
• Deep understanding of B2B SaaS business models and core metrics such as ARR,
MRR, churn, retention, expansion, NRR, CAC, LTV, conversion, and product
usage/adoption.
• Hands-on experience with large language models (LLMs) and modern AI
frameworks such as OpenAI APIs, LangChain, LlamaIndex, Hugging Face, or similar
tools.
• Familiarity with RAG, prompt engineering, model evaluation, guardrails, and
responsible AI practices for enterprise-ready AI solutions.
• Experience with cloud data platforms such as Snowflake, Databricks, or BigQuery
• Experience in subscription analytics, revenue analytics, product-led growth, or
customer lifecycle modeling.
• Experience building models that support GTM, Product, or Customer Success
decision-making.
• Strong ability to communicate technical findings to non-technical audiences and
influence business decisions.
• Experience working cross-functionally in fast-paced, matrixed environments.
• Familiarity with GenAI or AI-enabled analytical workflows is a plus.
• Familiarity with BI and visualization tools such as Tableau, Power BI, or Looker
Core Skills
• Machine Learning
• Statistical Modeling
• Forecasting
• Experimentation and A/B Testing
• Customer Churn and Retention Analytics
• Product Adoption Analytics
• Revenue and Growth Analytics
• Segmentation and Propensity Modeling
• Python
• SQL
• Applied AI / Generative AI
• Large Language Models (LLMs) / Retrieval-Augmented Generation (RAG)
• Data Storytelling
• Cross-Functional Business Partnership
What Success Looks Like
Success in this role means delivering data science solutions that create measurable
business impact. This includes improving customer retention, accelerating growth,
increasing forecast accuracy, identifying high-value opportunities, and enabling smarter
decisions across the B2B SaaS customer lifecycle. The successful candidate will combine
strong technical rigor with business judgment and will help
Our commitment to you!
BMC's culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won't be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, You're unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!
BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.
BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.

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