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Manager Reddit Data Science Jobs in Raritan, NJ (NOW HIRING)

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About us We are a global ... You will closely collaborate with your manager and teammates in both Prague and US, regularly ...

Director, Data Science

New York, NY ยท On-site

$302K - $454K/yr

... management, and Go, the proactive AI assistant that understands context and delivers help ... The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ...

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

New York, NY ยท On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

VP, Data Science

New York, NY ยท On-site

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science ... Experience managing offshore or distributed teams across time zones. * Familiarity with Databricks ...

VP, Data Science

New York, NY ยท On-site

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science ... Experience managing offshore or distributed teams across time zones. * Familiarity with Databricks ...

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Manager Reddit Data Science information

See Raritan, NJ salary details

$31.7K

$99.5K

$176.1K

How much do manager reddit data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for manager reddit data science in Raritan, NJ is $99,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $128,500.00 per year, depending on experience, location, and employer.

How much do Reddit data science managers make?

Reddit data science managers typically earn between $120,000 and $180,000 annually, depending on experience, location, and company size. They often oversee data analysis teams, utilize tools like Python and SQL, and require strong statistical and leadership skills.

Is 30 too late for data science?

For a Manager in Reddit Data Science or similar roles, starting a career in data science at age 30 is feasible, as many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and gaining practical experience. Age is less important than skills, experience, and continuous learning in the data science industry.

What are the key skills and qualifications needed to thrive as a Manager, Reddit Data Science, and why are they important?

To thrive as a Manager, Reddit Data Science, you need expertise in statistical analysis, machine learning, data visualization, and a solid background in computer science or a related field, often supported by an advanced degree. Familiarity with tools like Python, SQL, big data platforms (e.g., Spark), and data visualization software, as well as experience with experimentation frameworks, is typically required. Strong leadership, communication, and project management skills enable effective team guidance and stakeholder collaboration. These skills are crucial for extracting actionable insights from large datasets, leading data-driven projects, and aligning analytics initiatives with business goals.

How does a Manager of Reddit Data Science typically collaborate with cross-functional teams to drive data-driven initiatives?

As a Manager of Reddit Data Science, you'll regularly collaborate with product managers, engineers, designers, and business stakeholders to ensure data insights inform key decisions. This involves translating complex analyses into actionable recommendations, leading data-driven experiments, and aligning team priorities with company objectives. You'll also mentor data scientists, foster a collaborative team culture, and facilitate communication between data science and other departments to ensure projects are impactful and aligned with overall strategy.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options. Strong skills in machine learning, data analysis, and leadership are important for this role.

What is the difference between Manager Reddit Data Science vs Data Scientist Reddit?

AspectManager Reddit Data ScienceData Scientist Reddit
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageTech companies, online platforms, social media firmsTech, finance, healthcare, research organizations

The main difference is that a Manager Reddit Data Science oversees teams and projects, focusing on strategic leadership, while a Data Scientist Reddit primarily conducts data analysis and model development. Both roles require strong technical skills, but the manager role emphasizes leadership and project management.

What is the 80 20 rule in data science?

The 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means that a small subset of features or data points significantly influences model performance, guiding data prioritization and feature selection for managers and analysts.

What does a Manager of Reddit Data Science do?

A Manager of Reddit Data Science leads a team of data scientists who analyze Reddit's vast user data to uncover insights, improve user experience, and guide business decisions. They oversee data projects, collaborate with engineering and product teams, and ensure the quality and impact of data-driven solutions. The manager is also responsible for mentoring team members, setting goals, and aligning data science efforts with Reddit's strategic objectives.
What job categories do people searching Manager Reddit Data Science jobs in Raritan, NJ look for? The top searched job categories for Manager Reddit Data Science jobs in Raritan, NJ are:
What cities near Raritan, NJ are hiring for Manager Reddit Data Science jobs? Cities near Raritan, NJ with the most Manager Reddit Data Science job openings:
Infographic showing various Manager Reddit Data Science job openings in Raritan, NJ as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $99,480 per year, or $47.8 per hour.
Manager, Data Science - Global Finance

Manager, Data Science - Global Finance

Johnson and Johnson

New Brunswick, NJ โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
People Leader
All Job Posting Locations:
New Brunswick, New Jersey, United States of America
Job Description:
We are searching for the best talent for Manager, Data Science - Global Finance to be in New Brunswick, NJ
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Purpose
As a Manager, Data Scientist in the Global Finance Data Science Team, you will develop data science products, including the application of Generative AI techniques, to deliver practical, high-impact solutions within Global Finance.
This role combines advanced data science with software engineering. In addition to developing analytical and machine learning models, you will be responsible for engineering production-ready applications and integrations that embed insights and automation into Finance and Compliance workflows at enterprise scale.
You will work alongside a global team of Data Scientists, Data Engineers, Machine Learning Engineers, and Finance partners to execute the Global Finance AI roadmap, reduce manual effort through automation, and improve decision quality and user experience.
You will be responsible for:
  • Develop end-to-end data science solutions, including business problem understanding, data preparation, modeling, visualization, insight generation, and communication to senior stakeholders.
  • Apply Generative AI methods to enhance analytics and decision support solutions, ensuring outputs are accurate, explainable, and aligned with Legal, Compliance, and IT policies.
  • Design and maintain structured prompting and configuration strategies to ensure consistent, reliable behavior of Generative AI models in production environments.
  • Build workflow-oriented AI solutions that integrate models with enterprise data, tools, and business logic to support multi-step Finance and Compliance processes.
  • Write production-level, scalable code in Python or R and implement machine learning and statistical models for predictive analytics, time series forecasting, decision support, NLP, and GenAI use cases.
  • Execute projects end-to-end, from proof-of-concept to full production deployment, including integration with end-user systems and processes.
  • Build and automate data processing and modeling pipelines, including orchestration of workflows and deployment of models into production.
  • Develop and operate user-facing applications, APIs, or services that surface actionable insights and automation to Finance and Compliance users.
  • Ensure production solutions meet enterprise requirements for scalability, security, monitoring, documentation, and maintainability.
  • Partner with Technology, Finance Systems & Data, Compliance, and Data Engineering teams to ensure solutions are adopted, supported, and continuously improved.
  • Stay current with evolving data science and AI techniques and responsibly apply them to business problems.

Qualifications / Requirements:
  • Minimum of 6 years of relevant industry experience.
  • Bachelor's degree required (preferred fields include Computer Science, Engineering, Data Science, Business Analytics, Finance, or other quantitative/STEM disciplines); Master's degree preferred.
  • Proven experience building production applications that operationalize analytics or machine learning (e.g., web applications, backend services, APIs, or workflow tools), beyond exploratory analysis or notebooks.
  • Hands-on experience implementing and maintaining Generative AI solutions in production, including:
    • Structured prompting approaches
    • Integration with enterprise data sources or tools
    • Validation, guardrails, and quality controls to ensure reliable outputs.
  • Experience developing AI-enabled systems that support multi-step workflows (sometimes referred to as agent-based or tool-enabled approaches) rather than single-response use cases.
  • Experience deploying, running, and supporting solutions in AWS and/or Azure environments using enterprise services, such as: SageMaker, ECS or EKS, Lambda, API Gateway, Step Functions, CloudWatch / Azure Machine Learning, AKS, App Service, Functions, API Management, Azure Data Factory, Azure Monitor / Application Insights
  • Strong engineering practices, including version control, documentation, automated workflows, monitoring, and support of production systems.
  • Demonstrated experience executing Data Science projects from initiation through proof-of-concept to production deployment.
  • Strong foundation in machine learning, statistics, data engineering concepts, and software development.
  • Experience collaborating with cross-functional stakeholders, including senior leaders, in regulated or large enterprise environments.

Other:
  • Remote work options may be considered on a case-by-case basis and if approved by the Company.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
Required Skills:
Preferred Skills:
Advanced Analytics, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Give Feedback, Inclusive Leadership, Leadership, Proactive Behavior, Resource Allocation, Strategic Thinking, Team Management
The anticipated base pay range for this position is :
The anticipated base pay range for this position is $117,000 to $201,250 USD.
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits