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Data Scientist

Boston, MA, US • Posted 8 hours ago • Updated 8 hours ago

Full Time

On-site

Compensation information provided in the description

Fitment

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Job Details

Skills

Recruiting
Predictive Modelling
Dashboard
Deep Learning
Artificial Intelligence
Generative Artificial Intelligence (AI)
Educate
Management
Workflow
Data Science
Computer Science
Mathematics
Algorithms
Python
R
Scripting
SQL
Shell Scripting
SAS
Statistics
Multivariate Testing
Predictive Analytics
Forecasting
Optimization
Data Warehouse
Big Data
Cloud Computing
Amazon Web Services
Amazon S3
Amazon Redshift
Data Architecture
Extract
Transform
Load
Data Engineering
Machine Learning Operations (ML Ops)
Amazon SageMaker
Microsoft Azure
Machine Learning (ML)
Data Visualization
Microsoft Power BI
Tableau
matplotlib
Plotly
Health Care
Insurance
Problem Solving
Conflict Resolution
Critical Thinking
Communication
Data Quality
Documentation
Analytics
Collaboration

Summary

We are The Hollister Group, the Boston area's leading women-owned staffing firm. We guide candidates through the job search process and connect top-tier talent with opportunities that meet the needs of both our candidates and clients. Our Recruiters will help you refine your goals, improve your resume and interview skills, and stay on the lookout for a position that matches your experience and ambition. Our Technology Staffing Team is looking to speak with Boston-area candidates who would be a strong fit for the role outlined below.

Compensation:
$80-$130/hr, depending on experience and scope.

Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.

Responsibilities:

Develop innovative approaches to solve challenging data and analytics problems and uncover actionable insights.
Identify and prepare relevant data from multiple sources, collaborating with internal subject matter experts as needed.
Apply advanced statistical analysis, machine learning, and predictive modeling techniques to generate actionable business insights.
Design experiments, test hypotheses, and construct, validate, and deploy machine learning and AI models.
Automate, maintain, and improve ML models and pipelines using MLOps best practices.
Present insights and model results clearly to business stakeholders using dashboards, visualizations, and storytelling.
Measure outcomes and assess the success of programs and interventions driven by analytics work.
Stay current with machine learning, deep learning, and AI trends, including LLMs, transformers, and generative AI tools.
Educate colleagues on new tools, methods, and best practices applicable to data science and analytics.
Work independently on projects, managing planning, execution, and communication of progress and outcomes.
Ensure data accuracy, reproducibility, and transparency throughout projects, including proper documentation of workflows and processes.
Deliver ad-hoc analyses and insights as needed to support business decisions.

Requirements:

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent work experience.
2+ years of hands-on experience building and deploying machine learning models using a variety of algorithms.
Proficiency in Python and/or R, with strong programming and scripting skills (SQL, shell scripting). Knowledge of SAS is a plus.
Solid understanding of statistical analysis, multivariate testing, predictive analytics, forecasting, and optimization techniques.
Experience with data warehouses, big data platforms, and cloud-based data services (AWS S3, Redshift, Athena, Azure Synapse, BigQuery).
Familiarity with data architecture, ETL pipelines, and modern data engineering concepts.
Experience in model deployment and MLOps using tools like MLflow, Kubeflow, AWS SageMaker, or Azure ML.
Knowledge of data visualization tools (Power BI, Tableau, Matplotlib, Seaborn, Plotly) for communicating insights.
Familiarity with healthcare systems, insurance claims, or clinical data is a plus but not required.
Strong problem-solving, critical thinking, and communication skills, with the ability to explain complex models to non-technical stakeholders.
Commitment to data quality, documentation, and reproducibility throughout the analytics lifecycle
Location: Candidates must be local to Massachusetts; this position requires some onsite collaboration.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are underrepresented in their respective occupation or position.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: hollistr
Position Id: 1187370f02d06e92b2fbd34b31fa2e28
Posted 8 hours ago

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