Data Science Ml

Data Science Ml Jobs

89 jobs found

Today

Sr. Data Scientist

CIS International LLC Juncos

Juncos

Today

Contract Senior Analytics Artificial Intelligence

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Job Description

The Sr. Data Scientist will lead advanced analytics initiatives from discovery through delivery, developing predictive models and proof of concepts that generate measurable value for the PR Operations Organization. This is a cross-functional role requiring independent execution, stakeholder communication, and adherence to regulatory and security expectations.

Key Responsibilities

Lead, use, and further develop data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization.
Drive projects and collaborate on cross-functional teams to systematically derive insights that support substantial business value for Amgen.
Take initiative and work independently with minimal supervision.
Identify business needs, conduct SWOT analysis, propose analytical approaches, obtain approvals, and execute work end to end.
Build high-performance algorithms, prototypes, predictive models, and proof of concepts using Python.
Work with SQL and other database query languages.
Lead, collaborate, and communicate across functions to develop appropriate methodology for specific business questions.
Present analysis ideas, progress, and results to business partners in a clear and impactful manner.
Create and communicate insights through PowerPoint, with strong working knowledge of MS Office, specifically Excel and PowerPoint.
Ensure compliance with regulatory, security, and privacy requirements related to data assets.

Requirements

Education and experience aligned to one of the following:
- Doctorate or Masters with 2 years of related experience.
- Bachelors with 4 years of related experience.
- Associates with 8 years of related experience.
- High school/GED with 10 years of related experience.
Related field experience includes data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or equivalent.
Experience in programming, coding, system design and architecture, algorithms, and data structures.
Experience using statistical software and coding languages such as R, MATLAB, SAS, and Python, along with database languages such as SQL.
Ability to articulate business questions and use programming techniques to establish business solutions.
Capability to develop solutions for routine technical problems.
Demonstrated skill selecting appropriate tools for a given problem.
Excellent oral and written communication skills across different working styles.
Fully bilingual in Spanish and English.
Strong logical reasoning, problem-solving, and conflict resolution skills with detailed technical proficiency.
Leadership, initiative, and self-motivation, with strong time and project management to deliver on time and within budget.
Strong compliance mindset suitable for a highly regulated GMP industry.
Computer literacy in Windows (Word, Excel, PowerPoint, Minitab).
Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.
Experience leading projects end to end, including execution.
Experience with databases including relational, SQL, and Graph.
Programming experience with Python, R, or SAS, and experience with ML libraries such as scikit-learn, MLib, Keras, TensorFlow, and PyTorch (and related tooling).
Ability to write well-abstracted and reusable code in Python, R, or Scala, with comfort navigating Linux environments.
Detail-oriented aptitude for managing large and complex datasets, with strong organization and planning.
Ability to collaborate and influence business partners and other IS resources to drive analytic projects end to end.
Experience working with large datasets and distributed computing tools such as Spark and Hive.
Passion for learning and staying current with advanced analytics developments.
Biotech / Pharma experience.

Tools and Technologies

Python, SQL, R, MATLAB, SAS, PowerPoint, Excel, MS Office, Minitab, Windows, Word, Linux, scikit-learn, MLib, Keras, TensorFlow, PyTorch, Scala, Spark, Hive

Role Details

Location: Juncos, PR (onsite)
Job type: Contract
Minimum experience: 2 years (per education band)
Initial contract term: 6 months for the first contract, with high possibility of extension based on performance and budget
Openings: 1
Administrative shift: weekends and overtime may also be required
Expected hiring month: November 2026

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Today

Data Scientist Co-op

Cox Automotive Atlanta, GA

Atlanta, GA

Today

$22 - $33/hr Internship Python Amazon Web Services Analytics

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Job Description

The Data Scientist Co-op role sits on Cox Automotive’s Strategic Solutions & Enablement (SSE) team within the Decision Support organization. This multi-term internship supports data exploration, model building and validation, and clear communication of results to enable business decision-making.

Role Focus

Work with data scientists on data discovery, cleaning, preparation, and analysis for modeling efforts.
Contribute to prototype development, demonstrations, and visualizations that support business use cases.
Assist with machine learning model development, including testing and tuning under guidance.
Learn and apply both classical modeling methods (regression, gradient boosting, clustering) and applied generative AI approaches.

Key Responsibilities

Assist with exploring, cleaning, and preparing datasets from multiple internal sources for analysis and modeling.
Write Python and SQL to extract, transform, and analyze data, building familiarity with team tools and standards.
Help build, test, and tune machine learning models with support, progressing from foundational methods to applied generative AI.
Support creation of prototypes, demos, and visualizations to demonstrate how data and AI solve business problems.
Participate in standups, design discussions, and code or peer reviews, with increasing responsibility across co-op terms.
Document work clearly so it can be understood, reproduced, and extended by the team.
Present findings and progress to the team, and over time to business partners, with communication depth tailored to the audience.
Return across multiple co-op terms, alternating semesters to build continuity and increase scope and independence.
Apply feedback and coursework to take on progressively more substantial contributions to SSE projects.

Required Qualifications

Currently enrolled in a Bachelor’s degree program in Computer Science, Data Science, Statistics, Industrial Engineering, or a related quantitative field.
Ability to commit to multiple co-op terms, alternating semesters, consistent with a standard university co-op model.
Foundational Python experience, including coursework or projects using Pandas, NumPy, or scikit-learn.
Working knowledge of SQL and interest in learning cloud data platforms such as Snowflake and AWS.
Exposure to statistics and/or machine learning concepts through coursework or projects.
Strong analytical thinking and demonstrated ability to learn quickly and work collaboratively.
Clear written and verbal communication skills.

Technologies and Tools

Python, SQL, Pandas, NumPy, scikit-learn, Snowflake, AWS, Bedrock, Tableau, Streamlit, Git, regression, gradient boosting, clustering.

Preferred Qualifications

Coursework or personal or academic projects involving machine learning, generative AI, or data visualization (for example Tableau, Streamlit).
Familiarity with version control (Git) and collaborative development practices.
Interest in the automotive industry or large-scale marketplace data.

Location and Work Arrangement

Location: Atlanta, GA 30328 (hybrid)
Travel: 0–10%

Compensation

Hourly pay rate range: $22.02 - $33.08 per hour.
The hourly base rate may vary within the anticipated range based on location and the candidate’s knowledge, skills, and abilities.
May be eligible for additional compensation, which may include commission (annual, monthly, etc.) and/or an incentive program.

Benefits

Health care insurance (medical, dental, vision)
Retirement planning (401(k))
Paid days off including sick leave, parental leave, flexible vacation or wellness days, and/or PTO

Intern/Co-op Information

Intern/Co-op sessions are considered temporary employment. No full-time employment commitments are made.

Core Values and Behaviors

Acts with Integrity: Adheres to ethical standards, organizational policies, and personal values.
Builds Partnerships: Fosters trusting relationships with teammates and stakeholders.
Collaborates with Intent: Communicates effectively and welcomes feedback to drive better outcomes.
Develops Trust: Practices transparency and embraces diverse viewpoints.
Drives Innovation: Explores new ways to solve problems and is willing to experiment and learn.

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Today

Machine Learning Engineer

Comcast Corporation Irvine, CA

Irvine, CA

Today

$143k - $190k/yr Full time Ai Ml Artificial Intelligence Big Data

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Job Description

XUMO (Comcast) is seeking a highly experienced Machine Learning Engineer to design, train, and deploy machine learning models that power recommendation capabilities. This hybrid role in Irvine, CA focuses on personalization algorithms built on large-scale data, with responsibilities spanning modeling, evaluation, data pipelines, and cross-team integration.

Responsibilities

Develop and improve machine learning algorithms for integration across products and applications, aligned to specifications and data pipeline architectures.
Lead training of machine learning models, including validation and deployment into production systems.
Create and maintain data pipelines that support efficient data ingestion, validation, cleaning, and ongoing monitoring.
Produce documentation and technical requirements, including evaluation plans, white papers, and reports.
Contribute to patents, Application Programming Interfaces (APIs), and other intellectual property.
Assess machine learning solutions from internal and external partners by leading testing and assessment initiatives.
Run deep-dive case studies and compile findings to inform product development and testing strategies.
Design proof of concept solutions and direct studies that support future product or application advancement.
Collaborate with cross-functional teams to provide technical solutions for complex issues tied to assigned projects.
Provide guidance and mentorship to junior engineers and set a technical example within the team.
Develop and train sophisticated machine learning algorithms and implement the core recommendation system to increase product engagement through collaboration with multiple systems.
Analyze big data to generate algorithmic insights.
Work with product and operations teams to translate business requirements into algorithmic solutions, documenting model architectures and logic.
Rapidly prototype new recommendation concepts and algorithms, validating mathematical approaches and transitioning experimental models into production-ready code.
Implement, tune, and scale advanced machine learning models and multi-algorithm A/B testing logic to develop the core intelligence of the recommendation system.
Partner with backend and client engineering teams to integrate models, prioritize algorithmic enhancements, and define approaches for model serving and latency reduction.
Create technical documentation covering algorithm behavior, model dependencies, and requirements for system integration with the recommendation engine.
Drive decisions on model selection, hyperparameter optimization, and feature engineering to address complex business problems and improve personalized content delivery.
Engineer feature sets and training data schemas optimized for recommendation algorithm training and serving.
Execute offline evaluations and online A/B tests, producing insights into performance against established baselines and benchmarks.
Drive results and growth, and support a culture of inclusion in day-to-day work and leadership.

Requirements

3+ years of experience using statistical computer languages (Python, R, etc.).
3+ years of experience manipulating big data (BigQuery, etc.).
3+ years of experience operating databases (MySQL, PostgreSQL, Oracle, MongoDB).
Experience and knowledge of developing multiple machine learning techniques including clustering, decision tree learning, and artificial neural networks, including real-world advantages and drawbacks.
Experience and knowledge of advanced statistical techniques and concepts such as regression, properties of distributions, statistical tests, and appropriate application.
Strong problem-solving skills with emphasis on product development.
Excellent written, drawing, and verbal communication skills for coordinating across teams.
Strong leadership in designing and implementing approaches for new features and problem solving.
Self-starter capable of producing high-quality output with minimal supervision.
Aggressive learner for new technologies and techniques.
Role location: office-based in Irvine, CA, 4 days/week in office and 1 day remote.

Technologies

Python, R
BigQuery
MySQL, PostgreSQL, Oracle, MongoDB
Big data
clustering, decision tree learning, artificial neural networks, regression, statistical tests
Google Cloud, AWS, Azure
Spark
Linux-based operating system, CentOS, OSX
A/B testing
machine learning frameworks

Desirable Experiences

Experience operating servers in cloud environments (Google Cloud, AWS, Azure).
Experience with data processing frameworks (Spark).
Experience working with Linux-based operating systems (CentOS, OSX).
Experience developing scalable and highly available applications.
Experience with recommendation services.

Skills

Collaboration
Algorithms
Recommendation Engines
Business Problems

Education

Bachelor's Degree

Experience Level

5-7 Years

Salary

Pay range: This job can be performed in California with a good faith estimated pay range upon hire of $142,651.46 - $190,201.94 USD.

Location and Schedule

Irvine, CA (hybrid): 4 days/week in office and 1 day remote.

Minimum Experience

3 years

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Today

Data Scientist (Senior / Mid-Level) – Top Secret Clearance

VISUAL SOFT, INC Huntsville, AL

Huntsville, AL

Today

Full time Senior Agile Agile Scrum

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Job Description

VISUAL SOFT, INC is seeking a Data Scientist (Senior or Mid-Level) to support secure, mission-critical data work within a classified cloud environment. This role is fully onsite in Huntsville, AL and requires an active Top Secret clearance.

Key Responsibilities

Apply hands-on experience in an Agile environment to support data science and data engineering initiatives.
Use big data technologies and data science model knowledge to analyze large datasets and produce valuable insights.
Focus more on scientific modeling and programming than on visualization and analytics.
Find and design new approaches for handling, analyzing, and using large volumes of data.
Explore fundamental issues related to data handling, search, and data retention.
Solve complex data and storage challenges.
Design and implement new software coding to improve data search processes.
Design, test, and validate the quality of data and data processes.
Analyze outcomes and report results with actionable recommendations.

Required Qualifications

Bachelor’s degree (B.S.) in Computer Science, Information Systems, Engineering, or a related field.
Active Top Secret clearance (U.S. Citizenship Required).
Hands-on experience in an Agile environment.
5+ years of experience (Mid-Level) or 8+ years of experience (Senior-Level) in data engineering or database development.
Experience in an Agile/Scrum development environment.
Excellent problem-solving, analytical, and communication skills.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Preferred / Desired Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical field.
5+ years (Mid-Level) or 8+ years (Senior-Level) of experience in data engineering or database development.
Experience in an Agile/Scrum development environment.
Excellent problem-solving, analytical, and communication skills.

Technologies

Big data technologies
Agile
Agile/Scrum

Location and Work Model

Huntsville, AL (onsite). Fully onsite role supporting classified cloud infrastructure.

Education

Bachelor’s degree (B.S.) in Computer Science, Information Systems, Engineering, or related field.

Benefits

Paid time off: 3 weeks of PTO (PTO includes sick leave).
Any unused PTO is issued as a check at the end of an employee’s anniversary.
Holidays: 2 floating holidays and 8 public holidays.
Floating holidays and holidays expire at the end of every year of service.
Health and dental: Company covers 50% of health and dental insurance for all full-time employees.
Insurance at no cost: STD, LTD, and one-time salary equivalent of life insurance at no cost to all full-time employees.
401(k): Eligible after 90 days for full-time employees (or W-2 employees with no benefits), with a company match of 4% and immediate vesting.
Profit sharing: W-2 employees are eligible to participate with no employee contributions required.

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Today

Sr Data Scientist

Pinnaql Juncos, PR

Juncos, PR

Today

Full time Senior Analytics Artificial Intelligence

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Job Description

The Sr Data Scientist at Pinnaql will drive advanced analytics work from discovery through delivery, partnering across the PR Operations Organization to build analytical models and actionable insights. The role combines machine learning, AI, and Python-based development while aligning work to compliance, security, and privacy expectations.

Responsibilities

Lead, use, and develop data science, machine learning, and artificial intelligence capabilities across the organization
Drive end-to-end projects and collaborate on cross-functional teams to systematically derive insights that translate into substantial business value
Take initiative and work independently with minimal supervision
Identify business needs, perform SWOT analysis, propose analytical approaches, obtain approvals, and execute work end to end
Build high-performance algorithms, prototypes, predictive models, and proof of concepts using Python
Use SQL and other database query languages
Collaborate with stakeholders to define appropriate methodology for specific business questions
Present analysis ideas, progress, and results to business partners in a clear and impactful manner
Create supporting narratives in PowerPoint and be well-versed in MS Office, including Excel and PowerPoint
Ensure analytical work meets regulatory, security, and privacy requirements related to data assets

Required Qualifications

Education and experience: Doctorate OR Masters plus 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or related field experience; OR Bachelors plus 4 years of the same related experience
Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
Experience leading and executing projects end to end
Experience with databases including relational, SQL, and Graph
Programming experience with Python, R, or SAS, including machine learning libraries such as scikit-learn, MLib, Keras, TensorFlow, and PyTorch
Ability to write well-abstracted, reusable code in Python, R, or Scala and navigate Linux environments
Strong logical, problem-solving, and decision-making abilities with technical attention to detail
Strong organization and planning skills, with capability to manage many large and complex datasets
Ability to collaborate with and influence business partners and other IS resources to deliver analytic projects end to end
Excellent communication skills to convey analysis clearly, precisely, and in an actionable manner
Experience with large datasets and distributed computing tools such as Spark and Hive
Demonstrated interest in continuous learning and staying current with advanced analytics
Biotech / Pharma experience

Technologies

Python, SQL, R, SAS, Graph, scikit-learn, MLib, Keras, TensorFlow, PyTorch, Scala, Linux, PowerPoint, Excel, MS Office suite, Spark, Hive, Windows, Word, Minitab

Skills and Attributes

Experience with programming, coding, system design and architecture, algorithms, and data structures
Experience using statistical software, coding languages (for example R, MATLAB, SAS, Python), and database languages such as SQL
Ability to translate business questions into programming-driven business solutions
Capability to develop solutions to routine technical problems
Demonstrated ability to select appropriate tools based on the problem
Excellent oral and written communication, with effectiveness across varied working and communication styles
Fully bilingual in Spanish and English
Strong technical proficiency and logical problem solving, including conflict resolution
Leadership, initiative, and self-motivation
Time and project management skills to deliver on time and within budget
Team-oriented approach with negotiation skills to support multidisciplinary collaboration
High-quality and compliance-oriented mindset suitable for a highly regulated GMP industry
Computer literacy in Windows environment tools including Word, Excel, PowerPoint, and Minitab
Experience articulating analysis clearly, precisely, and in an actionable manner

Location

Juncos, PR 00777 (onsite)

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2d ago

IT Sr. Data Scientist

Hackensack Meridian Health Iselin, NJ

Iselin, NJ

2d ago

$172k+/yr Full time Senior Application Security Artificial Intelligence

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Job Description

Hackensack Meridian Health is hiring an IT Senior Data Scientist for onsite work in Iselin, NJ.

Responsibilities

Partner with HMH stakeholders to capture objectives, brainstorm AI/ML approaches, and document solution paths.
Lead exploratory data analysis to assess available data for each business objective and evaluate fit for AI/ML solutions.
Optimize Large Language Model (LLM) output using prompt engineering; build RAG pipelines.
Develop AI/ML models aligned to business goals using available data; evaluate model options and determine optimal approaches and performance characteristics.
Create repeatable, interpretable, and scalable models that integrate into analytic data products.
Engineer features by applying business context to combine data sources in new ways.
Write production-quality pipeline code to load data, run models, and store results.
Run AI/ML analyses including fairness, bias, and equity audits, performance assessments, impact assessments, and interpretability reporting.
Develop Python code that works cohesively with data engineers, software engineers, and data analysts.
Communicate ML/AI methodology and impact to senior management to support strategic decision-making.
Proactively communicate with stakeholders about concerns related to changes in work schedules.
Lead and manage complex projects with multiple stakeholders and teams; build and maintain relationships with senior management and clients.
Mentor and coach junior team members on ML/AI techniques and best practices; set goals and expectations for project teams.
Adhere to HMH organizational competencies and standards of behavior.
Perform other duties and/or projects as assigned.

Requirements

Bachelor’s degree in STEM or a related/relevant field.
4+ years of experience in a data science role, or 5+ years in a data engineering, analyst, or architecture role.
Extensive Python development experience.
Extensive SQL experience.
Proficiency developing and interpreting complex statistical models and a range of machine learning models.
Strong understanding of clinical data, including very proficient querying and use of clinical data.
Ability to deploy custom ML/AI models to a cloud platform and write production code for complex models.
Experience optimizing LLM output with prompt engineering and model fine-tuning, plus the ability to create RAG pipelines.
Ability to create custom model monitoring solutions as needed.
Ability to work effectively with technical and non-technical stakeholders.
Excellent written and verbal communication skills.
Proficiency with computer tools including Microsoft Office and Google Suite.

Preferred

Master’s / PhD.
5+ years of data analysis experience in healthcare.
Proficiency in Epic Clarity clinical data models.
Experience with Google Cloud Platform (e.g., BigQuery, VertexAI).
Experience with Git and GitHub.
Experience with Docker.

Education, Certifications, and Licenses (Preferred)

Epic Clarity Data Model.
Epic Clarity Clinical Data Model.
Google Machine Learning Engineer Certification.

Technologies

Python, SQL
Large Language Models (LLM), RAG
Epic Clarity, Caboodle
Git, GitHub, Docker
Google Cloud Platform, BigQuery, VertexAI
Google Suite, Microsoft Office

Compensation

USD 171,662 per year

Benefits

Health insurance
Dental insurance
Vision insurance
Paid leave
Tuition reimbursement
Retirement benefits

Travel Requirements

Onsite travel to Iselin, New Jersey for 1 week each quarter.

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4d ago

Sr. Data Scientist (Forecasting)

Nestlé IT & Digital Americas Arlington, VA

Arlington, VA

4d ago

$110k - $160k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Nestlé IT & Digital Americas is looking for a Sr. Data Scientist (Forecasting) to support Nestlé USA Digital through production-grade forecasting work. You will partner closely with Supply Chain Planning and Analytics teams to design and deploy statistical and machine learning models, while bringing Agentic AI and GenAI capabilities into forecasting workflows that improve accuracy and decision-making.

This onsite role is based in Arlington, VA and focuses on scalable forecasting processes, KPI monitoring, and enablement across cross-functional stakeholders.

What you’ll do

Design, develop, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms, emphasizing demand pattern recognition, algorithm selection, outlier correction, and parameter optimization to reduce bias and improve forecast accuracy.
Build and maintain structured, programmatic forecasting pipelines that run at scale, using ML Ops practices to automate weekly forecast generation and reduce manual effort.
Embed Agentic AI and GenAI into forecasting workflows to identify opportunities to improve accuracy, automate root cause analysis, and support insights generation and decision-making.
Continuously evaluate and apply emerging AI/ML methods, including deep learning and probabilistic forecasting, to increase accuracy and scalability across a complex portfolio of SKUs, clusters, and data sources.
Act as a liaison between technical and functional teams by partnering with Supply Chain Planning leads and collaborating with stakeholders across Marketing, Finance, and Sales to connect business needs with system and process solutions.
Contribute to Enterprise Forecasting as part of the One Planning initiative and support Customer Order Fulfilment improvements with standardized, scalable, cross-functional forecasting solutions.
Deliver training and forecast office hours to Supply Chain Planning users to build analytics literacy, increase adoption, and strengthen enterprise value.
Create and enhance Power BI reports for forecast KPI monitoring and data validation, and present findings using data visualization and PowerPoint tailored to the audience.

Requirements

Bachelor’s degree in statistics, mathematics, economics, business, or a related field.
5+ years of experience in data science, forecasting, or advanced analytics, including hands-on experience with SQL, Python, or a similar language.
5+ years extracting, transforming, and analyzing large datasets, plus experience creating data visualizations to communicate insights.
3+ years deploying and maintaining machine learning models in production, including regression, classification, time series modeling, and feature engineering.

Tools and technologies

SQL, Python, Machine learning, Power BI, PowerPoint
ML Ops, Databricks, Snowflake, Microsoft Azure
GenAI, Agentic AI, deep learning, probabilistic forecasting

Compensation and benefits

Salary: USD 110,000 - 160,000 per year
401k with company match
Healthcare coverage
Performance-based incentives
Competitive total rewards package

Additional preferences

Master’s degree in statistics, mathematics, economics, business, or a related discipline is preferred.
Preferred experience with ML Ops practices, cloud and AI/ML platforms (Databricks, Snowflake, Microsoft Azure), GenAI solutions, and Microsoft Power BI.
Preferred experience supporting enterprise-scale transformation or Supply Chain planning initiatives in an Agile environment.