Data Scientist 2 Jobs

New

Data Scientist 2

Join us on this journey as we execute this mission-critical contract providing h...

Location

United States , Central Maryland

Salary:

122000.00 - 168000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor’s Degree with 3 years of relevant experience, associate’s degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Using AI/ML to impact and assess large datasets, including data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment
Be well-versed in advanced statistical and predictive modeling, and have large-scale data processing (e.g. Spark, cloud data platforms) and Python and SQL processing
Create data visualization using Tableau, PowerBI, or Python Libraries
Develop automated analytics workflows
Translate complex data into strategic insights
Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences

What we offer

Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Access to FREE 24/7 learning via Udemy
Opportunities to participate in tech councils, industry initiatives, etc.
$7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops

Fulltime

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior Blockchain Data Scientist

Senior Blockchain Data Scientist position at Ledger, responsible for leveraging ...

Location

France , Paris

Salary:

Not provided

Ledger

Expiration Date

Until further notice

Requirements

2+ years of professional experience in a Data Scientist, Data Engineer, or relevant analytical role
Exceptional proficiency in SQL for complex data extraction, manipulation, and optimization
Significant experience with Python for statistical analysis, modeling, and building data-intensive applications
Proven experience in building and optimizing scalable data pipelines using dbt and Airflow
Direct experience working with public blockchain data (Ethereum, Bitcoin, Layer 2s, DeFi protocols) is a significant advantage
Experience with machine learning, time-series analysis, or predictive modeling is a plus
Excellent ability to communicate technical findings and methodologies to non-technical audiences
Strong interest in cryptocurrencies, blockchain technology, and the Web3 ecosystem

Job Responsibility

Design, build, and maintain robust, scalable data pipelines (ETL/ELT) using tools like dbt and Airflow
Perform in-depth analysis of large-scale, complex blockchain data (on-chain and off-chain) to uncover key trends and optimize product features
Partner with Product, Engineering, and Finance teams to translate business questions into analytical frameworks and deliver actionable recommendations
Monitor company performance, track revenue, and identify user segments to support strategic direction
Design and maintain BI dashboards using tools like Tableau
Ensure data quality and accessibility for the entire organization
Master a cutting-edge technical stack (Python, Snowflake, DBT, Airflow, Generative AI tools)

What we offer

Flexible work options - work from home up to 3 times per week
Health & Wellness support - Health and Life Insurance
Financial growth opportunities - employees can become shareholders in Ledger
Commuter allowance - contribution to preferred means of transportation
Learning & Development - comprehensive suite of training solutions

Fulltime

Data Scientist

At Applied Network Solutions (ANS), we bring together some of the most curious m...

Location

United States , Aurora

Salary:

100000.00 - 165000.00 USD / Year

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance with Polygraph
A bachelor’s degree and 10 years of relevant experience. An associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
Devise strategies for extracting meaning and value from large datasets.
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)

Job Responsibility

plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers

What we offer

Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Discount Program
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance

Principal Data Scientist

T-Mobile’s Strategy and Corporate Development (S&CD) team is looking for a Princ...

Location

United States , Bellevue; Overland Park

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
7-10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
7-10 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
7-10 years of Experience with data scripting languages (e.g., SQL, Python, R) and Extended experience working with relational database using SQL
4-7 years of Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
4-7 years of Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks
4-7 years of Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc
4-7 years of Experience in data visualization
2-4 years Management consulting, investment banking, or corporate strategy

Job Responsibility

Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming
Identify critical and emerging technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities
Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science team
Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
Provide senior level guidance to the data science and measurement science teams on approach and methodologies
Communicate important information and insights to business leaders using verbal, written, and data visualization skills

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
medical, dental and vision insurance
flexible spending account
employee stock grants
paid time off
up to 12 paid holidays

Fulltime

Staff Data Scientist

We’re looking for a Staff Data Scientist to shape the future of our marketplace ...

Location

Spain , Barcelona

Salary:

Not provided

Heetch

Expiration Date

Until further notice

Requirements

Deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically
Fluent in Python, SQL, and modern data/ML tooling
Experience bringing ML models into production and measuring their long-term business impact
Skilled at translating complex technical findings into actionable business insights
Collaborative leader who mentors peers and sets high standards for analytical rigor and impact
7+ years of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity

Job Responsibility

Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods
Define best practices and standards for experimentation, modelling, and analytical excellence across teams
Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities
Develop and deploy scalable models and data products that drive measurable business outcomes
Mentor and coach other data scientists and analysts, helping them deliver higher-impact work
Communicate insights and recommendations to senior leadership, influencing product and growth strategy
Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scale

Fulltime

Data Scientist

You will be part of a world-class Data Science team that leverages data to drive...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science)
2+ Years of Experience in Data Science or related fields
Proficiency in SQL OR another data manipulation programming language (e.g. Python, R)
Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker)
Working knowledge of basic statistical concepts (e.g. regressions, A/B tests, clustering, probability) and how to apply them to practical questions
Experience applying your analytics skills to projects which have had impact on business strategy and performance
Ability to craft analysis into well-written content

Job Responsibility

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal Data Scientist

Principal Data Scientist position on the Consumer Engagement & Analytics team at...

Location

United States , New York

Salary:

144200.00 - 288400.00 USD / Year

CVS Health

Expiration Date

December 28, 2025

Requirements

10+ years of progressive work experience in retail, consulting, or a related field as an individual contributor (applied data science) with at least 2 years in a lead capacity
Strong foundation and demonstrated experience designing and deploying large scale optimization problems to production
Strong Python, R, and SQL skills, proficiency in working with large datasets
Experience working with a data engineering/MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.)
Excellent communication, leadership, and presentation skills and attention to detail
Worked in an agile environment, has the flexibility to adapt to changing business needs
Proven experience influencing organizational strategy and driving change across business, product, and engineering organizations
Proven experience leading multiple complex projects simultaneously in a fast-paced environment
Advanced degree in a quantitative field such as computer science, operations research, applied mathematics, or a related field (PhD preferred)

Job Responsibility

Solve complex problems, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail's diverse product portfolio
Guide the modeling approach, design and deploy end-to end solutions utilizing Operations Research (OR), econometric modeling, and forecasting
Partner with the Data Engineering team to architect scalable and fail-proof production pipelines, define the unified technical vision, and set standards
Stay up to date on the state-of-the-art modeling methodologies, initiate, lead, and inspire Research and Development efforts, define long-term technical vision and strategic roadmap
Act as a consultant who translates complex requirements and data science findings into decision ready narratives for cross-functional teams
Mandate and champion rigorous performance validation
Provide advanced technical mentorship, proactively identify critical organizational skill gaps, and standardize hiring processes
Drive traffic, revenue and customer satisfaction in CVS Health's Front Store business using data science to optimize pricing, promotions, and assortment decisions

What we offer

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
Wellness screenings
Tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources

Fulltime

Data Scientist 2

RealmOne

Location:
United States, Central Maryland

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Scientist 2

Data Scientist 2

Senior Data Scientist – Audience Data Product

Senior Blockchain Data Scientist

Data Scientist

Principal Data Scientist

Staff Data Scientist

Data Scientist

Principal Data Scientist

Data Scientist 2

RealmOne

Location:United States, Central Maryland

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 11, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Data Scientist 2

Data Scientist 2

Senior Data Scientist – Audience Data Product

Senior Blockchain Data Scientist

Data Scientist

Principal Data Scientist

Staff Data Scientist

Data Scientist

Principal Data Scientist

Location:
United States, Central Maryland

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 11, 2025