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Data Science Intern

FocusKPI

Remote or Boston, Massachusetts • Today

Full-time

Summer 2027 - Data Science and Machine Learning Intern - Boston, MA

Lutron Electronics

Boston, Massachusetts • Today

Full-time

USD 31.25 - 45.25 per hour

AI & Data Science Intern

The Chemours Company

Remote • Today

Full-time

Internship - Data Management

QuEra Computing, Inc.

Boston, Massachusetts • Today

Full-time

USD 30.00 - 40.00 per hour

Data Science Intern (Customer Success)

Cresta

Remote • Today

Full-time

Compensation information provided in the description

Data Scientist, Data Science

National Grid

Waltham, Massachusetts • Today

Full-time

USD 103,000.00 - 121,000.00 per year

Associate Director, Translational Data Science, Hematology R&D

AstraZeneca

Waltham, Massachusetts • Today

Full-time

USD 138,392.80 - 207,589.20 per year

Associate Director, Data Science (Real World Data)

Formation Bio

Boston, Massachusetts • Today

Full-time

USD 213,500.00 - 267,000.00 per year

Senior Manager, R&D Data, Data Science, and AI - Digital Health for Neuropsychiatry

Johnson & Johnson

Cambridge, Massachusetts • Today

Full-time

USD 137,000.00 - 235,750.00 per year

Project Manager ? Data Science & AI Engineering

MassMutual

Boston, Massachusetts • Today

Full-time

Data Science Manager Provider Product

ZocDoc

Boston, Massachusetts • Today

Full-time

USD 190,000.00 - 270,000.00 per year

Senior Scientist, Data Science (AI, Operations Research & Optimization)- Hybrid

XPO Logistics

Boston, Massachusetts • Today

Full-time

USD 106,383.00 - 132,978.00 per year

Head of Clinical Data Science

Takeda Pharmaceutical

Boston, Massachusetts • Today

Full-time

Compensation information provided in the description

Senior Consultant, Data Science - Elevate - Healthcare & Life Sciences

Simon-Kucher & Partners

Boston, Massachusetts • 10d ago

Full-time

USD 125,000.00 - 150,000.00 per year

Technical Lead Manager (TLM), AI & Data Science - Hybrid

XPO Logistics

Boston, Massachusetts • Today

Full-time

USD 155,000.00 - 180,000.00 per year

Software Engineer, Data Science

WAVE Life Sciences

Cambridge, Massachusetts • Today

Full-time

USD 120,000.00 - 162,000.00 per year

Data Science Manager, Marketing

DraftKings

Boston, Massachusetts • Today

Full-time

USD 160,000.00 per year

Lead Data Science Analyst, GTM Strategic Analytics and Insights

Klaviyo

Boston, Massachusetts • Today

Full-time

USD 120,000.00 - 180,000.00 per year

Software Engineering & AI Intern

Leidos

Remote • Today

Full-time

USD 48,100.00 - 86,950.00 per year

Data Science Analyst

CVS Health

Remote or New Jersey • Today

Full-time

USD 67,980.00 - 135,960.00 per year

Senior ML & Data Science Engineer Remote (Full-Time) | Bay Area Candidates Preferred

Prudent Technologies and Consulting

Remote • Today

Easy Apply

Full-time

Depends on Experience

AI Training Expert Data Science - (Contract - Remote)

Dice Talent & Staffing Solutions

Remote • 17d ago

Easy Apply

Full-time

$75 - $75

Senior Data Science Manager - Marketing Science

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 180,000.00 - 210,000.00 per year

Data Scientist 4- Messaging Data Science & Engineering

Netflix, Inc.

Remote • Today

Full-time

USD 280,000.00 - 421,000.00 per year

AVP, Data Science & Analytics - Top Tech Distinguished Engineer - Remote

Molina Healthcare

Remote • Today

Full-time

USD 161,914.00 - 315,732.00 per year

Manager of Data Science Production Engineering, Data Engineering & Delivery

Natera, Inc.

Remote • Today

Full-time

USD 127,200.00 - 159,000.00 per year

Data science software developer

Solventum

Remote or Murray, Utah • Today

Full-time

USD 124,000.00 - 170,500.00 per year

Data Science AI Engineer

Integral

Remote or Tysons, Virginia • Today

Full-time

USD 160,000.00 - 185,000.00 per year

Senior Manager, Data Science - Styling Algorithms

Stitch Fix

Remote • Today

Full-time

USD 200,000.00 - 246,000.00 per year

Manager, Data Science (Personalization & Recommendation Systems) (Remote)

Kohls Department Stores

Remote or Menomonee Falls, Wisconsin • Today

Full-time

Job Details

Skills

Data Quality
Visualization
Performance Metrics
Workflow
Linear Regression
Probability
Linear Algebra
Calculus
Optimization
Data Analysis
SQL
Data Extraction
Evaluation
Training
ROOT
Communication
Analytical Skill
Statistics
Computer Science
Data Science
Applied Mathematics
Econometrics
Operations Research
Regression Analysis
Time Series
Statistical Models
Machine Learning (ML)
Marketing
Modeling
Marketing Analytics
Return On Investment
A/B Testing
Python
Pandas
NumPy
scikit-learn
Research
Recruiting
Reporting

Data Quality
Visualization
Performance Metrics
Workflow
Linear Regression
Probability
Linear Algebra
Calculus
Optimization
Data Analysis
SQL
Data Extraction
Evaluation
Training
ROOT
Communication
Analytical Skill
Statistics
Computer Science
Data Science
Applied Mathematics
Econometrics
Operations Research
Regression Analysis
Time Series
Statistical Models
Machine Learning (ML)
Marketing
Modeling
Marketing Analytics
Return On Investment
A/B Testing
Python
Pandas
NumPy
scikit-learn
Research
Recruiting
Reporting

Summary

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote | Internship | Full-time | 3 months

About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.

Responsibilities

Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications

Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications

Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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: 90624177
Position Id: 9c1848069d439b1bc5e27551f6ffca8
Posted 5 hours ago

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Whiteboard Federal is looking for a Data Scientist to provide mission-critical support to our customers. We are seeking someone with outstanding analytical abilities and comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams. This role evaluates and uses algorithms for Natural Language Process (NLP), Artificial Intelligen

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