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Senior Python Data Science Jobs in Montvale, NJ (NOW HIRING)

Inizio Partners

Senior Data Scientist

New York, NY

$130K - $140K/yr

The primary responsibility of this role is to leverage your expertise in analytics, data science ... Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine ...

Tatari

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

Magazine. Backed by an executive team of former founders and senior leaders from companies ... Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ...

Tatari

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

Under the guidance of our Senior Data Scientists and Senior Data Science Analysts, you will have ... Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ...

Inizio Partners

Senior Data Scientist

New York, NY

$150K - $180K/yr

Senior Data Scientist Location: United States (Can be based anywhere) Travel: As needed About the ... Python and SQL for data science and analytics * Distributed computing tools like Spark/PySpark

Optimize Partners

Director, Data Science

New York, NY · Hybrid

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

Two95 International Inc.

Senior Python Developer

New York, NY · On-site

$132K - $178K/yr

Bachelor's degree in Computer Science or related field preferred 5+ years of professional experience Python expertise fundamentals, programming, pandas and other libraries Strong SQL and Linux skills ...

Two95 International Inc.

Senior Python Developer

New York, NY · On-site

$132K - $178K/yr

... Science or related field preferred • 5+ years of professional experience • Python expertise ... fundamentals, programming, pandas and other libraries • Strong SQL and Linux skills • Strong ...

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Senior Python Data Science information

See Montvale, NJ salary details

$57.5K

$148.4K

$203.9K

How much do senior python data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for senior python data science in Montvale, NJ is $148,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $170,900.00 per year, depending on experience, location, and employer.

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 popular job titles related to Senior Python Data Science jobs in Montvale, NJ? For Senior Python Data Science jobs in Montvale, NJ, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Science jobs in Montvale, NJ look for? The top searched job categories for Senior Python Data Science jobs in Montvale, NJ are:
Senior Python Data Science jobs near you

Senior Data Scientist

Inizio Partners

New York, NY

$130K - $140K/yr

Full-time

Posted 29 days ago

Job description

  • Role: Senior Data Scientist
  • Location: New York City
  • Type: Hybrid

Position Summary

Our client is looking for a Data Scientist who will play a crucial role in providing analytics and data science support to a client within our Sports, Media and Entertainment practice. The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work with a dynamic team and will have true ownership and impact over developing analytics solutions and data products for the stakeholders.

If you're a passionate sports fan who understands both the emotional and commercial dynamics of the industry - and you thrive in fast paced, collaborative environments, we'd love to connect.

Responsibilities:

  • Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions.
  • Design and build end to end machine learning solutions and statistical frameworks across fan behavior.
  • Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning
  • Lead recurring analytical programs with a focus on reproducibility and automation.
  • Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products.
  • Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making.
  • Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions.
  • Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact.
  • Contribute to the continuous improvement of analytics processes and methodologies.

Core Skills (Required):

  • Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
  • 2+ years of hands-on experience in a data science role with a track record of shipping models into production.
  • Extremely proficient in SQL for robust data extraction and analysis.
  • Strong programming skills in Python.
  • Familiarity with Git and code/data version control.
  • Solid statistical foundation
  • Exposure to NLP techniques for processing unstructured survey data.
  • Excellent communication, problem-solving, and critical thinking skills.
  • Self-started and willingness to take on challenging initiatives
  • Effective time management and attention to detail
  • Familiarity with MLOps concepts

Qualifications (Preferred):

  • Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics).
  • 4-5 years experience
  • Industry experience in Sports or Media.
  • Familiarity with additional data analysis and visualization tools.
  • Advanced statistical analysis and modeling skills.
  • Familiarity with data science governance practices