Data Science Developer Jobs

New

Data Science Developer

The Data Science Developer is responsible for understanding the business problem...

Location

United States

Salary:

Not provided

PaxeraHealth

Expiration Date

Until further notice

Requirements

5 years of experience in the development and integration of complex imaging systems and/or medical image diagnosis software
Experience in developing with C++
Knowledge of DICOM development and troubleshooting experience
Prior experience developing healthcare components (PACS, VNA, RIS) and workflows
Experience with C++, C#, Python, machine learning
B.S. in Computer Science or related field

Job Responsibility

Collect, preprocess, and analyze large datasets to identify patterns and features
Develop and apply machine learning algorithms to improve diagnosis accuracy and reduce false positives
Work with cross-functional teams, including radiologists, medical professionals, and software engineers, to develop and test new algorithms and models
Design and develop software tools and frameworks to automate the processing and analysis of medical images
Implement deep learning architectures for image analysis and classification tasks
Participate in the design and implementation of clinical studies to evaluate the performance of developed algorithms and models
Ensure that developed models and algorithms meet regulatory and quality standards
Keep up-to-date with the latest trends and technologies in the field of medical imaging and data science

Fulltime

Business Risk Officer – (Data Science / Developer)

The Business Risk Officer - Data Science/Developer will play an important role w...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Hands-on experience developing applications across multiple stacks
Strong proficiency in Python, SQL, and common GenAI products
Experience consuming APIs
Consistently demonstrates clear and concise written and verbal communication skills
Excellent problem-solving skills with the ability to see the big picture while maintaining attention to critical details
Demonstrated ability to develop and implement strategy and process improvement initiatives
Capable of writing and building components to integrate into new or existing systems
Documentation experience for complex software components
Ability to work within a collaborative environment across different departments and geographies
Creative thinking for identifying new opportunities

Job Responsibility

Collaborate with key stakeholders throughout Citi’s Global Markets, Risk, and Technology segments to prioritize projects, evaluate business use cases, and build prototypes capable of solving the problem at hand
Serve as a visible technical expert, working closely with internal clients to interpret their challenges and convert them into high-quality, actionable projects
Investigate new project ideas, design solution frameworks, evaluate effort and feasibility, and provide recommendations to management aligned with financial value
Drive the development and implementation of AI/GenAI strategic initiatives throughout Citi’s Markets Conduct, Financial Crime, and Regulatory Risk program
Gather, validate, and analyze large, complex information sets
understand the data's meaning and its application to end users
identify and troubleshoot issues with data or results
Translate business requirements into technical requirements, design, build, and deploy functional prototypes (end-to-end) utilizing programming languages such as Python, Golang, SQL, and GenAI

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

New

Freelance Lecturer in Computer Science, Data Science, and Mathematics

We are looking for a new colleague to join our faculty in Potsdam and Berlin on ...

Location

Germany , Potsdam, Berlin

Salary:

Not provided

GUS Germany GmbH

Expiration Date

Until further notice

Requirements

At least 2 years of relevant teaching or industry experience, with proven expertise in one or more of the listed subject areas, ideally in an international context
Demonstrated practical proficiency with modern programming languages, frameworks, and state-of-the-art tools and technologies commonly used in the industry
Excellent English language skills
Strong intercultural communication skills and a student-centered approach to teaching
Residence and legal authorization to work in Germany

Job Responsibility

Deliver high-quality teaching in assigned courses across Bachelor's and Master's degree programmes
Design and update course syllabi, materials, assessments, and digital resources
Supervise theses and student research projects
Conduct applied research and contribute to the university's academic output
Engage in academic advising and mentoring of students
Participate in curriculum development and quality assurance initiatives
Collaborate with international partners and industry stakeholders
Contribute to the broader academic community at Gisma through committee work and events

What we offer

Opportunity to work with a great team in a dynamic and international culture
A workplace in our modern, centrally located campus in Potsdam
Numerous campus events from the fields of art, culture, business, and science
Opportunity to develop and implement new ideas and concepts
Personal and professional development

Parttime

New

Product Manager, AI Data Pipelines & Developer Community

As a Product Manager for AI Data Pipelines & Developer Community, you will be in...

Location

United States , Campbell

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Proven experience in product management, particularly with a focus on data and AI-driven products
Strong understanding of technical data architectures, machine learning models, and AI applications in a business context
Demonstrated success in growing technical product adoption and developer communities
Experience working with large datasets, data pipelines, and data platforms
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical audiences
Proven ability to think strategically and execute methodically, translating complex problems into actionable solutions
A Bachelor’s degree in Computer Science, Data Science, Business, or a related field is preferred

Job Responsibility

Define and Drive Product Strategy: Develop and communicate a clear vision and roadmap for the AI data pipeline platform and associated developer tools, ensuring alignment with business goals and market needs
Build and Optimize AI Data Pipelines: Work closely with our product team and IT, end-users, data engineers and data scientists from our customers to build, optimize, and maintain scalable data pipelines that allow them to enrich, classify, curate data for AI agents for augmentation and inferencing
Translate User Needs into Product Requirements: Gather and prioritize user requirements, translating them into detailed product specifications and coordinating development efforts with engineering and data science teams
Champion Developer Experience: Understand the needs of the developer community, both internal and external, and develop tools, resources, and programs that enhance their experience building with our AI data platform. Investigate participation in partner developer communities and open-source communities
Grow and Engage the Developer Community: Lead efforts to foster a vibrant developer community, potentially through events, forums, technical content, and strategic outreach
Measure and Analyze Product Performance: Define and track key metrics to measure the success and impact of both the AI data platform and community engagement efforts, using data-driven insights to iterate and improve
Cross-Functional Collaboration: Partner effectively with cross-functional teams, including engineering, marketing, sales, and customer success, to ensure product vision alignment and drive successful execution
Stay Ahead of the Curve: Monitor industry trends, emerging technologies, and competitive offerings related to AI, data infrastructure, and developer ecosystems

Data Science Intern

Designs, develops, and applies programs, methodologies, and systems based on adv...

Location

United States , Ft. Collins

Salary:

35.00 - 46.00 USD / Hour

Hewlett Packard Enterprise

Expiration Date

May 26, 2026

Requirements

Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field
Basic knowledge of data science methodologies
Basic understanding of business requirements and data science objectives
Basic data mapping, data transfer and data migration skills
Basic understanding of analytics software (eg. R, SAS, SPSS, Python)
Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend)
Basic communication and presentation skills
Basic data knowledge of relevant data programming languages
Basic knowledge of data visualization techniques

Job Responsibility

Participates in the analysis and validation of data sets/solutions/user experience
Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
May load data into the infrastructure and contributes to the creation of the hypothesis matrix
Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
Contributes to building models for the overall solution, validates results and performance
Contributes to the selection of the model that supports the overall solution
Supports the research, identification and delivery of data science solutions to problems
Supports visualization of the model's insights, user experience and configuration tools for the analytics model

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs catered to helping reach career goals
Unconditional inclusion and flexibility to manage work and personal needs

Fulltime

Data Science Intern

This role has been designed as ‘Hybrid’ with an expectation that you will work o...

Location

United States , Spring

Salary:

35.00 - 46.00 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field
Basic knowledge of data science methodologies
Basic understanding of business requirements and data science objectives
Basic data mapping, data transfer and data migration skills
Basic understanding of analytics software (eg. R, SAS, SPSS, Python)
Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend)
Basic communication and presentation skills
Basic data knowledge of relevant data programming languages
Basic knowledge of data visualization techniques

Job Responsibility

Participates in the analysis and validation of data sets/solutions/user experience
Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
May load data into the infrastructure and contributes to the creation of the hypothesis matrix
Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
Contributes to building models for the overall solution, validates results and performance
Contributes to the selection of the model that supports the overall solution
Supports the research, identification and delivery of data science solutions to problems
Supports visualization of the model's insights, user experience and configuration tools for the analytics model

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Product Manager, Clinical Data Science & AI

CVS Health's Analytics & Behavior Change (A&BC) is an organization working to so...

Location

United States

Salary:

92700.00 - 222480.00 USD / Year

CVS Health

Expiration Date

December 27, 2025

Requirements

3+ years' experience working cross-functionally with Engineering or Data Science teams and familiarity with Data Science concepts
1-2 years' Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers)
Strong experience with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value
Experience in stakeholder management
Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field

Job Responsibility

Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Stakeholder teams
Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand users and the business
Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, and quality
Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses
Liaise with clinicians to get an understanding of clinical best practices, requirements, and validation of AI outputs
Define, monitor and analyze product performance metrics, identifying opportunities for improvement and optimization
Draft, refine and communicate business cases to key stakeholders to obtain input and buy-in
Work with internal customers, end users, and other stakeholders to maintain product roadmaps
Clarify and coordinate dependencies with other product teams and stakeholders, and mitigate the risks and dependencies proactively
Support the establishment and maintenance of release-management, product planning and launch frameworks

What we offer

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance

Fulltime

Lead Director, Data Science

Develop and implement analytics applications and models to transform data into m...

Location

United States , New York

Salary:

141170.00 - 280000.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Business Administration, or related field
2 years experience in marketing analytics, clinical trials, or health research
2 years experience in machine learning, statistical analysis, or predictive modeling
2 years experience with visualization tools including PowerBI or Tableau
2 years experience with traditional relational data warehouse technologies: Oracle, Teradata, or DB2
2 years experience designing data models and solutions for analytical and reporting use cases
2 years experience with NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
2 years experience with machine learning algorithms
2 years experience with feature engineering, model tuning, distributed model training, and supervised and unsupervised learning implementation
2 years experience with machine learning operations

Job Responsibility

Develop and implement analytics applications and models to transform data into meaningful information
Design and develop data solutions using industry leading tools, technologies and best practices
Profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business
Develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics
Utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources
Deliver predictive models that inform solutions for in-house teams and customer engagement
Visualize and interpret data and create reports
Manipulate data using statistical software
Compare models using statistical performance metrics
Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses

What we offer

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
Term life insurance plan
Short-term disability benefits
Long-term disability benefits
Well-being programs
Education assistance

Fulltime

Data Science Developer

NSPR IT Services & Solutions

Location:
Canada, Toronto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 10, 2025

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