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

Identify and lead high-impact, cross-team data science initiatives, such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworks * In partnership ...

Senior Data Scientist, Risk

New York, NY · On-site +1

$163K - $225K/yr

You will work closely with our Engineering, Data Science, Product, and Operations teams to build ... For team members who work outside those cities, Found also supports fully remote working.

Develop statistical models and data science solutions while also implementing the infrastructure to ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Develop statistical models and data science solutions while also implementing the infrastructure to ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Senior Data Scientist

New York, NY · Remote

$136K - $209K/yr

What You Bring to The Team: * 5+ years of Data Science & Machine Learning experience within fintech, payments, or a similarly regulated consumer domain. With a proven track record of shipping ...

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

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

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

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 ...

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 - 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 ...

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Showing results 41-60

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.

What are the most commonly searched types of Data Science jobs in Chatham, NJ? The most popular types of Data Science jobs in Chatham, NJ are:
What job categories do people searching Remote Data Science jobs in Chatham, NJ look for? The top searched job categories for Remote Data Science jobs in Chatham, NJ are:
What cities near Chatham, NJ are hiring for Remote Data Science jobs? Cities near Chatham, NJ with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Chatham, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Staff Data Scientist

OpenX

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 28 days ago


Job description

Company at a Glance
OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.
At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.
OpenX is seeking a Staff Data Scientist to join our Data Science team. Our exchange processes hundreds of billions of ad requests daily and generates petabytes of data, requiring advanced machine learning, deep learning, and modern AI techniques delivered through scalable platforms to create value for customers.
A Staff Data Scientist is a senior technical leader whose impact spans multiple teams and business domains. In this role, you will solve complex marketplace problems, set technical direction for your domain, architect major ML systems, mentor other scientists, and partner with engineering and product leaders on data-driven strategy.
Problems at this level include auction and marketplace optimization, bidding and yield strategy, relevance and prediction systems at exchange scale, causal measurement of marketplace changes, and capabilities for training, validating, and monitoring ML systems in production.
The ideal candidate brings deep expertise in applied machine learning, strong judgment in selecting methods for business problems at scale, and a track record of translating business needs into high-impact data science solutions.
Key Responsibilities:
  • Technical Leadership & Architecture
    • Architect robust, scalable, and maintainable ML systems for broad use across the exchange, spanning training pipelines, real-time inference, validation, and monitoring
    • Serve as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areas
    • Lead the evaluation and adoption of new AI/ML modeling techniques, frameworks, and research advancements relevant to OpenX's marketplace problems
    • Define and evolve technical standards and best practices within their domain, influencing broader adoption across the organization
  • Execution & Strategy:
    • Identify and lead high-impact, cross-team data science initiatives, such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworks
    • In partnership with engineering and product leadership, drive the data science roadmap for a product area or platform capability
    • Partner with product managers and commercial stakeholders to translate marketplace problems into data science solutions with measurable business outcomes
    • Solve novel, ambiguous problems requiring innovation in methodology, algorithms, or feature engineering
  • Mentorship & Influence:
    • Mentor and develop senior data scientists, helping them grow toward broader technical leadership
    • Raise the skills, impact, and scientific rigor of teams around them through guidance, architectural patterns, and strategic direction
    • Communicate technical strategy and build consensus for complex decisions across senior leadership and cross-functional teams

Required Qualifications:
  • Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years of relevant experience and a demonstrated track record of leading cross-team technical strategy and delivering organization-level impact
  • Deep expertise in deep learning and broad fluency across the modern ML toolkit, with strong familiarity with optimization methods; additional experience in areas such as causal inference or experimentation design is a plus
  • Proven ability to architect and deliver complex, production-grade ML systems that operate at scale
  • Strong track record of nurturing DS/ML projects to maturity with significant business impact, including supporting and improving those systems beyond initial deployment
  • Mastery of probability and statistics, especially techniques that scale to massive datasets
  • Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch
  • Strong communication and presentation skills, including proficiency in conveying complex technical concepts to both technical and non-technical audiences
  • Track record of cross-team technical leadership and mentorship of senior data scientists and technical partners

Desired Characteristics:
  • Experience developing, evaluating, or optimizing bidding algorithms for RTB environments.
  • Experience working with a cloud platform like GCP/AWS/Azure, with emphasis on GCP and the Vertex AI platform
  • Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow
  • Familiarity with other programming languages such as Java and Go
  • Experience working in digital media, marketing technology, or advertising technology - especially in marketplace, auction, or exchange systems
  • Track record of setting technical standards or best practices adopted beyond a single team
  • Experience representing data science capabilities or strategy in cross-functional forums

$195,500 - $218,500 a year
Pursuant to any state, local ordinance, or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
OpenX is committed to fair and equitable compensation practices. For all applicants, the base salary range is noted above, per year + bonus + equity + benefits. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications.
A summary of our benefits, which include medical, dental, vision, 401k, equity and more, can be viewed here: https://www.openx.com/company/careers/ A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications.
OpenX VALUES
Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.
WE ARE ONE
We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture
WE ARE CUSTOMER CENTRIC
We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers' problems. We manage our customers' expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.
OPENX IS OURS
We are all owners of OpenX
We all have a voice to improve OpenX
We stake our personal and professional reputations on the excellence of our work
We are not interested in just "doing our jobs"; we take ownership to drive results
WE ARE AN OPEN BOOK
We understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally.
WE EVOLVE FAST
We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious.
OpenX TRAITS
Our three traits capture what makes a great team member at OpenX.
HUMBLE
Ideal team players are humble and demonstrate integrity. They put the team's success above their own, share credit generously, and value collective achievements. They are self-assured, open to coaching, and committed to continuous learning.
DRIVEN
Ideal team players are results-driven and motivated. They are curious, always seeking more to do, learn, and take on. As proactive problem-solvers, they take initiative without needing external motivation. They continuously think about the next steps and opportunities for improvement.
SMART
Ideal team players are smart and possess the intellectual acumen to understand the complexities of our organization and industry. They are interpersonally intelligent, good communicators, and exemplify sound judgment in their interactions across the company to foster a collaborative environment.
OpenX is committed to equal employment opportunities.
It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.
OpenX Applicant Privacy Policy
Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/.
Effective Date: November 21, 2024