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Senior Python Data Analysis Jobs in Parsippany, NJ

Virtusa

Senior Python AI/ML Developer

Jersey City, NJ · On-site

$126K - $170K/yr

We are seeking an experienced Senior Python Engineer to design, build, and maintain scalable, high ... data, and quality standards Required Qualifications Bachelor's degree in Computer Science ...

Virtusa

Senior Python AI/ML Developer

Jersey City, NJ · On-site

$126K - $170K/yr

We are seeking an experienced Senior Python Engineer to design, build, and maintain scalable, high ... data, and quality standards Required Qualifications Bachelor's degree in Computer Science ...

Laboro

Python Developer

New York, NY

$55 - $75.75/hr

Description Laboro is seeking a talented MID_SENIOR Python Developer to join our dynamic ... Excellent problem-solving and analytical abilities * Effective communication and teamwork skills

The Cypress Group

Senior Python Engineer

New York, NY · On-site

$170K - $210K/yr

We're looking for a Senior Backend Engineer who thrives in fast moving environments, enjoys solving ... data, and infrastructure teams Lead technical initiatives and contribute to architectural decision ...

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All JobsPython Data Analysis JobsSenior Python Data Analysis JobsSenior Python Data Analysis Jobs in Parsippany, NJ

Senior Python Data Analysis information

See Parsippany, NJ salary details

$55.3K

$142.8K

$196.1K

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

As of Aug 6, 2026, the average yearly pay for senior python data analysis in Parsippany, NJ is $142,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,200.00 and $164,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Parsippany, NJ? The most popular types of Python Data Analysis jobs in Parsippany, NJ are:
What are popular job titles related to Senior Python Data Analysis jobs in Parsippany, NJ? For Senior Python Data Analysis jobs in Parsippany, NJ, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Parsippany, NJ look for? The top searched job categories for Senior Python Data Analysis jobs in Parsippany, NJ are:
Senior Python Data Analysis jobs near you

Python / ML Engineer (GenAI) || W2 ROLE || ONSITE||

SmartIPlace

Jersey City, NJ • On-site

Contractor

Re-posted 20 days ago

Job description

Title: Senior Python / ML Engineer (GenAI)
Location: Jersey City, NJ (Onsite – 5 days/week)
Job Type: Contract (W2 Only)
Interview: Video
Visa: No H1B / OPT / CPT

Job Overview

We are seeking a Senior Python / Machine Learning Engineer with strong computer science fundamentals and hands-on experience building and deploying ML and Generative AI solutions. This role focuses on developing production-grade AI/ML systems, LLM-powered applications, and scalable data pipelines in public cloud environments.

You will work in a fast-paced, engineering-driven environment building high-impact AI solutions for real-world business use cases.

Key Responsibilities

  • Design and develop ML and LLM-powered applications end-to-end

  • Build, test, and deploy production ML models and inference services

  • Develop scalable batch and real-time data pipelines

  • Implement distributed systems and reliable data processing frameworks

  • Deploy AI/ML solutions on AWS, Azure, or GCP

  • Collaborate with cross-functional teams to deliver AI-driven products

  • Apply strong software engineering best practices to AI development

  • Experiment with and productionize Generative AI use cases

Required Qualifications

  • MS or higher in Computer Science, ML, Statistics, Mathematics, or related field

  • 5+ years of Python development experience

  • Strong knowledge of data structures, algorithms, and system design

  • Hands-on experience with ML and LLM development

  • Experience with ML frameworks such as PyTorch, Keras, MXNet, or Scikit-Learn

  • Experience deploying solutions in AWS, Azure, or GCP

  • Experience using LLMs in real-world applications (prompting, evaluation, guardrails, tracing)

  • Experience building data pipelines (batch and real-time)

  • Experience working with SQL and NoSQL databases (Postgres, Redis, OpenSearch, etc.)

  • Excellent communication and collaboration skills

Preferred Qualifications

  • Expertise in one or more areas:

    • Natural Language Processing

    • Reinforcement Learning

    • Recommendation Systems / Ranking

    • Time Series Analysis

  • Domain knowledge in finance or wealth management

  • Kubernetes or containerization experience

  • Leadership or mentoring experience in ML projects

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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