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Senior Python Data Science Jobs in New Jersey (NOW HIRING)

Sr Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

A degree in Computer Science or an equivalent engineering foundation. * 5+ years of building and scaling applications in Python and/or JavaScript. * Ability to thrive in a fast-paced startup.

Senior Python Developer

Jersey City, NJ · On-site

$125K - $130K/yr

involves designing, developing, and maintaining software, with a strong focus on data pipelines and financial systems. Key responsibilities include writing clean Python code, building and optimizing ...

Data Science Manager

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Present to senior leaders confidently and with impact * Construct models, analyses and solutions in ... Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding ...

Data Science Manager

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Present to senior leaders confidently and with impact * Construct models, analyses and solutions in ... Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding ...

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Python + React + Rest APi Position will be of Senior Python Developer who has experience working in ... domain specific data analysis • 2yr+ Years of experience in Risk and pricing application ...

Data Science Manager

Jersey City, NJ · On-site

$149 - $186/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Present to senior leaders confidently and with impact * Construct models, analyses and solutions in ... Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding ...

New

Data Science Manager

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Present to senior leaders confidently and with impact * Construct models, analyses and solutions in ... Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding ...

Senior Manager, Data Science - FCRM Modeling

Mount Laurel, NJ · On-site

$123K - $201K/yr

  • Medical

  • Retirement

  • PTO

The Senior Manager, Data Science leads a specialized team of data professionals varying in size and ... Proficiency in Python, SQL, or equivalent programming languages. * Experience in financial crimes ...

Head of Data Science

Fort Lee, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Excellent SQL, Python, and Databricks skills. * Intuitive business and analytical skills with the ... senior leadership audiences. * Deep experience with successful statistical modeling, machine ...

Senior Data Scientist

Camden, NJ · On-site

$109 - $150/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Through your expertise, leadership, and mentorship, you will elevate data science capabilities ... Advanced proficiency in Python and/or R with experience building scalable, modular, tested, and ...

New

Showing results 41-60

Senior Python Data Science information

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

What are the most commonly searched types of Python Data Science jobs in New Jersey?

The most popular types of Python Data Science jobs in New Jersey are:

What are popular job titles related to Senior Python Data Science jobs in New Jersey?

For Senior Python Data Science jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Science jobs in New Jersey look for?

The top searched job categories for Senior Python Data Science jobs in New Jersey are:

What cities in New Jersey are hiring for Senior Python Data Science jobs?

Cities in New Jersey with the most Senior Python Data Science job openings:

Infographic showing various Senior Python Data Science job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Analytics Developer, Power BI and AWS

Carian

Newark, NJ • On-site

Full-time

Retirement

Posted 8 days ago


Job description

Senior Data Analytics Developer, Power BI and AWS
Location: Newark, New Jersey
Job Type: Full-time
Schedule: Hybrid; three days per week in office
About Us
CARIAN is a purpose-driven, woman-owned consulting and advisory firm dedicated exclusively to the power sector. We partner with leading electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on.
Position Overview
CARIAN is seeking a Senior Data Analytics Developer, Power BI and AWS to join our team and deliver customer analytics, dashboarding, data engineering, and AI/ML-enabled insights for a major utility program in Newark, New Jersey.
This role will help transform raw operational, customer, and business data into actionable insights, dashboards, data products, and analytics solutions that support strategic decision-making and improve customer experience. The position will work closely with CARIAN leadership, client stakeholders, Customer Analytics, IT, and vendor teams to build Power BI dashboards, optimize data sources and pipelines, support analytics solution design, and incorporate data science, AI, and machine learning approaches where appropriate.
The ideal candidate has strong hands-on experience with Power BI, AWS cloud services, SQL, Python, data modeling, data visualization, data engineering, and analytics delivery. Experience with customer analytics, call center operations, customer behavior analysis, or customer journey improvement is strongly preferred.
Key Responsibilities
  • Collect, summarize, analyze, and deliver insights using data from multiple sources.
  • Develop data models and analytics solutions to support Power BI dashboards and reporting needs.
  • Design, develop, maintain, and enhance interactive Power BI dashboards that provide actionable insights to stakeholders.
  • Identify valuable data sources and support optimization of data pipelines to improve data quality, integrity, security, and usability.
  • Partner with business stakeholders, Customer Analytics, IT, and vendor teams to gather requirements and translate business needs into analytics solutions.
  • Facilitate business requirements sessions between business stakeholders, IT, and vendors.
  • Facilitate and execute testing activities between business stakeholders, IT, and vendors.
  • Transform data to define analytics solutions that support customer experience improvement initiatives.
  • Incorporate AI and machine learning solutions into analytics use cases where appropriate.
  • Analyze operational and non-operational data to identify trends, patterns, customer friction points, customer behavior, and improvement opportunities.
  • Apply statistical analysis, data mining techniques, and scenario modeling to validate assumptions and support decision-making.
  • Interpret data to identify solutions, communicate insights, and support business decisions.
  • Develop and maintain SQL models, ETL workflows, and analytics logic to support reporting and dashboard development.
  • Use Python to support analytics, data processing, modeling, and AI/ML development.
  • Effectively communicate technical findings, insights, and recommendations to non-technical stakeholders, subject matter experts, and cross-functional teams.
  • Support responsible data use, data quality, documentation, and governance practices.

Qualifications
  • Bachelor's degree in Data Science, Engineering, Computer Science, Information Technology, Information Systems, Statistics, or a related field.
  • 5+ years of experience with data mining techniques, data modeling, statistical analysis, algorithms, or applied analytics.
  • 5+ years of experience with data visualization using Power BI or similar data visualization tools.
  • 5+ years of experience leveraging AWS services, including Redshift or similar cloud data platforms, to support scalable data pipelines and analytics solutions.
  • 5+ years of experience using Python for analytics, SQL modeling, data processing, or AI/ML model development.
  • 5+ years of experience using SQL and developing or maintaining ETL workflows, including SQL Server Integration Services or similar tools.
  • Experience working with large data sets and translating complex data into practical business insights.
  • Strong understanding of data modeling, dashboard development, analytics delivery, and reporting best practices.
  • Ability to facilitate requirements discussions, testing sessions, stakeholder reviews, and cross-functional solution development.
  • Excellent verbal and written communication skills, with the ability to explain technical concepts clearly and concisely to non-technical stakeholders.
  • Detail-oriented, results-driven, data-driven, and able to work independently in a fast-paced environment.
  • Ability to work a hybrid schedule in Newark, New Jersey, including three days per week in office.

Preferred Experience
  • 10+ years of progressive experience in data analytics, business intelligence, data engineering, data science, or related analytics delivery.
  • Advanced degree in Data Science, Data Analytics, Engineering, Computer Science, Information Technology, Information Systems, Statistics, or a related field.
  • Experience with customer analytics, customer experience, call center operations, or customer journey analysis.
  • Familiarity with data governance, data quality, and responsible AI practices.
  • AWS certification, Power BI certification, or related analytics certification.
  • Exposure to generative AI, large language models, retrieval-augmented generation, or other emerging technologies.
  • Experience developing analytics solutions for utility, energy, customer operations, or regulated business environments.
  • Experience working with business stakeholders, IT teams, vendor teams, and cross-functional analytics groups.

Why CARIAN
  • Purpose-driven work - Help deliver infrastructure that powers communities
  • Industry reputation - Trusted by leading utilities for our reliability and results
  • Career growth - Opportunities to lead major programs and mentor high-performing teams
  • Collaborative culture - Join a team that values delivery excellence and long-term relationships
  • Competitive total rewards - Strong compensation, full benefits, 401(k) match, and meaningful work

Equal Employment Opportunity
CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level.
Compensation
The salary range for this role is $100,000 - $150,000 annually. This range represents a good-faith estimate at the time of posting; actual compensation will depend on experience, qualifications, assignment requirements, schedule, and other factors permitted by law. In addition to base compensation, the role includes a comprehensive benefits package and a company 401(k) match.