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Sr Data Scientist Jobs (NOW HIRING)

Venturegloballng

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

Senior Data Scientist Located: Arlington Summary The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and implement strategies for the discovery, collection, and analysis of business data relating to ...

EverQuote

Senior Data Scientist

Cambridge, MA · On-site

$150K - $166K/yr

Senior Data Scientist Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.) About us: EverQuote is a leading AI-powered growth ...

Venture Global, Inc.

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

Senior Data Scientist Located: Arlington Summary The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role ...

ActioNet

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting opportunity for a Senior Data Scientist to join our team to lead digital transformation projects to ...

PROPRIUS

Senior Data Scientist

Sunnyvale, CA · On-site

Senior Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: Do you have: Expertise in the development, execution, and improvement of action plans with regards to Software ...

ActioNet, Inc.

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting opportunity for a Senior Data Scientist to join our team to lead digital transformation projects to ...

EverQuote

Senior Data Scientist

Cambridge, MA

$150K - $166K/yr

Senior Data Scientist Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.) About us: EverQuote is a leading AI-powered growth ...

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

EverQuote

Senior Data Scientist

Cambridge, MA · On-site

$150K - $166K/yr

Senior Data Scientist Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.) About us: EverQuote is a leading AI-powered growth ...

Bowhead

Senior Data Scientist

Saint Inigoes, MD · On-site

$90K - $150K/yr

Overview Senior Data Scientist (IDS TPSS): Bowhead is seeking a Senior Data Scientist for the upcoming Identification Systems (IDS) Technical Project Support Services (TPSS) contract at Webster Field ...

Bowhead

Senior Data Scientist

Saint Inigoes, MD · On-site

$90K - $150K/yr

Overview Senior Data Scientist (IDS TPSS): Bowhead is seeking a Senior Data Scientist for the upcoming Identification Systems (IDS) Technical Project Support Services (TPSS) contract at Webster Field ...

ActioNet, Inc.

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting opportunity for a Senior Data Scientist to join our team to lead digital transformation projects to ...

ActioNet

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting opportunity for a Senior Data Scientist to join our team to lead digital transformation projects to ...

Kinect

Senior Data Scientist

Calabasas, CA · On-site

Senior Data Scientist -- Revenue Management Los Angeles, CA (Hybrid) | Full-Time We're looking for a Senior Data Scientist to join a high-impact revenue science team at a well-known hospitality and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

GRVTY

Senior Data Scientist

Springfield, VA · On-site

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics ...

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Showing results 41-60

All JobsSr Data Scientist Jobs

Sr Data Scientist information

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$41.5K

$142.5K

$201K

How much do sr data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for sr data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a Sr Data Scientist do?

A Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist?

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.

What is the difference between Sr Data Scientist vs Data Analyst?

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

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Sr Data Scientist jobs near you
Infographic showing various Sr Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Data Scientist

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Re-posted 25 days ago

Job description

Overview:
Job Title: Senior Data Scientist - Knowledge Domain: Product (Job ID: 2099)
Location: Work From Home - USA, Denver, Colorado 80237 - look for locals
Duration: July 15, 2025 - February 27, 2026
Company: Western Union
Hire Type: Contractor (Contract Only)
Standard Hours per Week: 40
JOB DESCRIPTION
Senior Data Scientist - Knowledge Domain: Product
We are seeking a technically advanced and product-oriented Senior Data Scientist to lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You'll collaborate cross-functionally to create and scale real-world AI applications that have direct impact on users and business performance.
Role Responsibilities:
Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting.
Apply deep learning techniques (e.g., CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems.
Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement.
Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (e.g., AUC, F1, BLEU, IoU, perplexity) based on the use case.
Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML.
Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time).
Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system.
Mentor junior data scientists, contribute to code reviews, and lead technical discussions across the data science and engineering teams.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services formulating AI data solutions that allow us to leverage our data to know our customers better and target our resources for better market penetration and focused attention and education.
Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.
Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.
Experience with customer data enrichments.
Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.
Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.
Excellent communication skills, with the ability to present complex findings to both technical and non-technical stakeholders.
Hands-on experience with real-world applications of deep learning, such as recommendation engines, fraud detection, customer segmentation, document summarization, image recognition, or speech processing.
Familiarity with MLOps tools (e.g., MLflow, SageMaker, Airflow, Kubeflow).
Experience with CI/CD for ML, feature stores, and real-time inference systems.
Contributions to academic research, open-source ML projects, or ML/AI patents.
Skills:
Knowledge Domain

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