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Senior Python Data Analysis Jobs in Massachusetts

Photon

Senior Agentic AI Engineer (Python)

Boston, MA · On-site

$132K - $177K/yr

Senior Agentic AI Engineer (Python) Boston, MA - Onsite Primary Objective We are seeking a Senior ... Build enterprise-scale RAG solutions over structured and unstructured data sources. * Develop agent ...

MANTECH

Senior Data Scientist

Springfield, MA · On-site

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

MANTECH

Senior Data Scientist

Springfield, MA · On-site

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

Shield AI

Staff Engineer, Data Analysis (R5290)

Boston, MA · On-site

$150K - $220K/yr

Build automated Python workflows that make high-value metrics easily accessible to engineering ... Mentor engineers on effective data analysis practices and raise the quality bar for data-driven ...

STR

Senior Data Scientist (CLEARANCE REQUIRED)

Woburn, MA · On-site

$139K - $165K/yr

The Role As a Senior Data Scientist at STR, you will help develop disruptive technologies focused ... Experience building data analysis pipelines using standard tools (e.g., Python, C++), including ...

MANTECH

Senior GEOINT Data Scientist

Springfield, MA · On-site

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to ... HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis ...

AgZen

Senior Data Scientist

Somerville, MA · On-site

About the Role We are looking for a sharp, tenacious, and thorough Senior Data Scientist to join ... Proven experience in the use of the main data-science, analytics, modeling and visualization Python ...

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Senior Python Data Analysis information

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 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 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 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 the most commonly searched types of Python Data Analysis jobs in Massachusetts?

The most popular types of Python Data Analysis jobs in Massachusetts are:

What are popular job titles related to Senior Python Data Analysis jobs in Massachusetts?

For Senior Python Data Analysis jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in Massachusetts look for?

The top searched job categories for Senior Python Data Analysis jobs in Massachusetts are:

Senior Python Data Analysis jobs near you

Senior Agentic AI Engineer (Python)

Photon

Boston, MA • On-site

$132K - $177K/yr

Other

Posted 7 days ago

Job description

Hello ,

Hope you are doing well,

Myself Mankar from Photon and I have a position with our direct client, please send me your updated resume if you are interested.

Senior Agentic AI Engineer (Python)

Boston, MA- Onsite

Primary Objective

We are seeking a Senior Agentic AI Engineer to design, build, deploy, and operate enterprise-grade AI agents and multi-agent systems. The role focuses on Generative AI, LLMs, agentic workflows, RAG architectures, AI orchestration, and governed enterprise AI platforms delivering scalable copilots, intelligent automation, and knowledge systems across onshore and offshore delivery environments.

Success looks like:production-ready agents with measurable reliability, governed RAG integrated into enterprise systems, and clear observability/guardrails for business use cases.

Key Responsibilities

Primary

  • Design, develop, and deploy AI agents and multi-agent workflows using Python and agentic frameworks (e.g., LangChain, LangGraph, or equivalent).
  • Build enterprise-scale RAG solutions over structured and unstructured data sources.
  • Develop agent orchestration workflows integrating models, tools, APIs, and enterprise services.
  • Build AI-powered copilots, assistants, and automation solutions for enterprise use cases.
  • Implement AI monitoring, observability, tracing, telemetry, and performance measurement.

Also expected

  • Implement agent memory patterns (short-term, long-term, episodic).
  • Integrate agents with enterprise platforms (APIs, databases, SharePoint, Confluence, Salesforce, knowledge repositories).
  • Contribute to AI governance: guardrails, security controls, policy enforcement, and compliance.
  • Optimize prompts, reasoning strategies, workflows, and execution performance.
  • Collaborate with Data Science and ML teams on evaluation, optimization, and continuous improvement.

Must-Have Experience & Skills

  • 5 10 years of software engineering experience with strong Python expertise.
  • 3+ years designing and implementing AI/ML solutions.
  • Hands-on experience building Generative AI applications using LLMs, RAG, and agentic frameworks (LangChain/LangGraph or equivalent; OpenAI SDK or similar).
  • Experience delivering enterprise-grade AI solutions in production.
  • Experience with distributed onshore/offshore team delivery.
  • Solid API/service engineering fundamentals (REST/async services, integration patterns).
  • Practical understanding of AI observability, evaluation, and production reliability.

Preferred Skills

  • Cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar).
  • Vector databases / search (pgvector, OpenSearch, Pinecone, Weaviate, or similar).
  • LLMOps tooling (tracing, eval harnesses, prompt/version management).
  • Enterprise integrations (SharePoint, Confluence, Salesforce).
  • Containerized deployment practices (Docker; Kubernetes a plus).
  • AI security, PII handling, and guardrail frameworks.

Soft Skills

  • Clear written and verbal communication with technical and business stakeholders.
  • Ability to own delivery end-to-end in a distributed team model.
  • Pragmatic trade-off judgment between speed, quality, cost, and governance.

Apply