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

Analyzes data to support signal assessment and contributes to ad hoc regulatory safety requests ... MPH, PharmD, PhD, or Masters in a Health Science) * Knowledge of the drug development process which ...

Sr. Manager, Data Analyst

Whippany, NJ · On-site +1

$87K - $109K/yr

With deep technical expertise and comprehensive domain knowledge of Life Science sponsored ... Collaborate with data engineering teams to ensure robust ETL pipelines, data integrity, and ...

Sr. Manager, Data Analyst

Whippany, NJ · On-site

$107K - $165K/yr

With deep technical expertise and comprehensive domain knowledge of Life Science sponsored ... Collaborate with data engineering teams to ensure robust ETL pipelines, data integrity, and ...

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Remote Data Science information

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.

What cities near Hopatcong, NJ are hiring for Remote Data Science jobs?

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

Infographic showing various Remote Data Science job openings in Hopatcong, NJ as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Director, Data Science (3 openings)

Novartis

East Hanover, NJ • On-site, Remote

$194K - $361K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Novartis rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

50th of 86 rated pharmaceutical


Job description

Job Description Summary

#LI-Hybrid
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 team to create, pilot, and scale AI tools to support broader goals to transform business processes and outcomes.
The ideal location for this role is East Hanover, NJ but a distant working arrangement may be possible in certain states. Distant workers are responsible for the cost of home office expenses and periodic travel/lodging will be determined necessary by hiring manager. For associates working on-site, relocation assistance to be within 50 miles of the site may be available. This position will require 10% travel as defined by the business (domestic and or international).
There are 3 positions available.


Job Description

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

Novartis Compensation Summary:

The salary for this position is expected to range between $194,600 and $361,400 per year.

The final salary offered isdeterminedbased on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health,lifeand disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days,holidaysand other leaves.


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

Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis

What Novartis employees say

Pay

Benefits

Hours and flexibility

Workplace

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