Data visualization • lynn ma
A leading global economics and analytics consulting firm is hiring a full-time Senior Data Engineer (Applied AI/ML) for its Boston, MA office.This role sits at the intersection of data engineering,... Show more
We are seeking a highly motivated and experienced Manager, Data Reporting, to lead a team within the Transfer Agency.This role is responsible for ensuring accurate, timely, and efficient delivery o... Show more
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries.Some 20,000 financia... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
By joining CHIA, you will help translate data into insight—and insight into action.At the Center for Health Information and Analysis (CHIA), we provide the factual foundation for data-driven ... Show more
Locations: Atlanta; Boston; Charlotte; Chicago; Dallas; Los Angeles; New York; San Francisco.We are the better way to work in finance.As private equity's value creation partner, we sit at the heart... Show more
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The Department of Economic Research (DER) is seeking an Economic Data Visualization Specialist to enhance the accessibility and impact of its workforce and labor market data.Reporting to the Direct... Show more
MailCompose">Job Title: Data Engineer <br /> Location: Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA, New York City, NY</b></div> <div><b>Contact:... Show more
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally.We develop bespoke solutions powered by data and technology for sev... Show more
Data Risk & Privacy - Data Governance - Knowledge Graph / Data Engineering - Director.The Opportunity: As a Data Risk & Privacy - Data Governance - Knowledge Graph / Data Engineering - Director, yo... Show more
MsoNoSpacing"><b>Hi ,</b></p> <p class="MsoNoSpacing">Our client is looking for an <b>Sr.Data Scientist </b>for a project and below is the deta... Show more
Enterprise Marketing Data Analyst – Cross-Functional Insights & Visualization.Join SS&C’s Corporate Marketing team and help shape a globally recognized brand powered by data-driven insight.... Show more
Site: Mass General Brigham Incorporated.Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to ... Show more
Site: The Brigham and Women's Hospital, Inc.Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts... Show more
Visualization Artist – Visual Impact Assessment Focus.The Design Visualization Services (DVS) team at Stantec works on a variety of design projects internationally using cutting-edge technology and... Show more
Work for a team that is revolutionizing the management of multi-asset class data from any service provider or data vendor for a more holistic and integrated view of asset holdings.This award-winnin... Show more
This role represents an opportunity to be at the forefront of transformation, innovation, and service excellence for our U.You will help to shape a new retirement recordkeeping and trust operations... Show more
The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 year .
A leading global economics and analytics consulting firm is hiring a full-time Senior Data Engineer (Applied AI/ML) for its Boston, MA office. This role sits at the intersection of data engineering, applied machine learning, and analytical consulting, supporting high-impact client engagements involving complex structured and unstructured datasets. The environment combines advanced analytics, Python-based machine learning, generative AI workflows, and real-world business problem solving across industries where defensible, data-driven insights are critical.
This is an opportunity to work on highly complex and ambiguous analytical challenges while helping shape the future of AI and analytics capabilities inside a globally recognized consulting organization. The team is looking for someone who can independently evaluate modeling approaches, lead technical workstreams, and help develop innovative analytical methods involving LLMs, vector-based search, and unstructured data analysis. If you enjoy solving difficult data problems, influencing technical strategy, mentoring engineers, and researching emerging AI technologies in a fast-paced consulting environment, this role offers strong ownership, visibility, and long-term career growth.
Required Skills & Experience· Bachelor’s degree in Computer Science, Engineering, or related field
· 4–7 years of experience in data engineering, analytics, or related technical roles
· Strong proficiency in Python for data processing, modeling, and automation
· Applied machine learning experience across classification, clustering, ranking, and generative AI workflows
· Experience working with structured and unstructured datasets
· Strong understanding of feature engineering, model evaluation, and analytical trade-offs
· Strong SQL and relational database knowledge
· Experience with cloud platforms such as Azure or similar cloud environments
· Experience with Git and collaborative software development practices
· Strong communication skills with technical and non-technical stakeholders
· Experience mentoring junior engineers and reviewing code
· Experience with vector-based search or retrieval systems
· Exposure to LLM-enabled workflows and text analytics
· Experience researching or prototyping emerging AI/ML technologies
· Consulting or client-facing analytics experience
· Familiarity with heterogeneous and messy real-world datasets
· Experience collaborating across IT, DevOps, and analytics teams
· 35% Applied Machine Learning & AI Workflows
· 30% Data Engineering & Analytical Development
· 20% Research, Prototyping & Model Evaluation
· 15% Technical Leadership & Mentorship
· 60% Hands On Technical Work
· 25% Cross-Functional Collaboration
· 15% Mentorship & Technical Guidance
• Competitive compensation package + performance-based incentives
You will receive the following benefits:
· Medical Insurance
· Dental Benefits
· Vision Benefits
· Paid Time Off (PTO)
· 401(k)
· Hybrid work flexibility
· Opportunity to work on cutting-edge AI and analytics initiatives
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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