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

Novartis

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

Reporting into the ED, AI and Innovation Data Science, this role is crucial in leading the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic ...

Cigna

Data Science Advisor - Hybrid

Morris Plains, NJ · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

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 ...

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Collaborate with and enable data scientists on the team to rapidly iterate on model building and ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

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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 cities near Hopatcong, NJ are hiring for Remote Data Science jobs? Cities near Hopatcong, NJ with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Hopatcong, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Director, Data Science

Novartis

East Hanover, NJ • On-site, Remote

$194K - $312K/yr

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Novartis rating

7.5

Company rating: 7.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

64th of 86 rated pharmaceutical

Job description

Job Description Summary

This position will be located at the East Hanover, NJ location and will not have the ability to be located remotely.
This is 1 of 2 roles.


Job Description

The Insights and Decision Science (IDS) team is dedicated to enabling improved decision making at Novartis by leveraging superior data to identify actionable insights that drive enhanced performance. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. Reporting into the ED, AI and Innovation Data Science, this role is crucial in leading the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic growth across the organization.

This position plays a vital role in integrating AI-driven solutions across various platforms, fostering collaboration between the US commercial team and the India-based data science team. By championing the exploration of cutting-edge AI technologies, the Director ensures that our strategies are informed by the latest advancements in generative AI and large language models (LLMs). This role will collaborate with other members of the IDS AI and Innovation team members to create, pilot, and scale AI tools to support broader goals of the IDS strategy to transform business processes and outcomes.

Key Responsibilities:

  • Lead the development and deployment of scalable AI solutions, focusing on advanced AI applications across various business units.

  • Be prepared to engage in hands-on work when necessary to support the team and further our data science initiatives.

  • Collaborate with cross-functional teams to integrate AI-driven solutions across various platforms and services.

  • Drive innovation by staying current with advancements in AI, particularly in generative models and LLM technologies.

  • Champion the exploration and integration of cutting-edge AI technologies, particularly in the field generative AI.

  • Act as a key liaison between the US commercial team and the India-based data science team.

  • Stay abreast of state-of-the-art foundation models and other innovative trends in data science and leverage these insights to inform our strategies.

  • Bring a "can-do" attitude and teamwork and inspire others on culture change.

  • Acts as an AI role model, championing a culture that embraces cutting-edge AI technologies and encourages experimentation and adoption of best practices

Experience:

Novartis is seeking an individual with proven experience working with machine learning models. They should have a strong ability to support cross-team development of AI programs. A firm commitment to driving continuous improvement in AI solutions, informed by current innovations, is vital to this role.

Essential Requirements:

  • Advanced degree in Computer Science, Engineering, Statistics, or related field

  • Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industryis preferred.

  • Build and deploy scalable machine learning models using cloud-based services such as AWS and Azure

  • Strong understanding of deep learning algorithms, foundational/ LLM models, statistics, and recommendation system

  • Deep knowledge of Large Language Models (LLMs) such as GPT, BERT, Cohere, and their applications in real-world scenarios.

  • Ability to operate in a hands-on capacity when necessary.

  • Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch

  • Experience with digital channel selection for "next best action"

  • Excellent problem-solving skills and ability to identify creative solutions to complex problems

  • Strong ability to effectively communicate and work across different time zones

The pay range for this position at commencement of employment is expected to be between: $194,600.00 and $312,400.00 a year; however, while salary ranges are effective from 1/1/25 through 12/31/25, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills, and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$194,600.00 - $361,400.00


Skills Desired

Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (ML), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis

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