data science engineer

MiniMed

<div>We anticipate the application window for this opening will close on - 7 Jul 2026
<p></p><p>At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world.
</p><p></p><h1 class="jobSectionHeader"><b>About the Role
</b></h1><p></p>This AI/Data Science Engineer II role is focused on delivering big-data analytics solutions that drive decision support for the business. This role bridges advanced data engineering with applied data science to enable smarter product design decisions and robust quality reporting and investigation support. The ideal candidate combines deep SQL expertise, proficiency in modern data warehouse technologies, and strong Python-based data analysis skills, along with a growing interest in AI-augmented development tools.
<p></p><p>Responsibilities may include the following and other duties may be assigned.
</p><ul><li><p>Partner with engineers and scientists to design and deliver analytical models, dashboards, and data pipelines that translate complex product datasets into actionable insights supporting product design decisions
</p></li><li><p>Design, build, and optimize SQL-based queries and data models across large-scale relational and cloud data warehouse environments, including ETL/ELT pipeline development and maintenance
</p></li><li><p>Apply Python-based data analysis and visualization tools (pandas, matplotlib, seaborn, plotly , etc.) to develop scalable, reusable analytical solutions
</p></li><li><p>Explore and integrate AI-assisted development tools (e.g., Windsurf, GitHub Copilot) to improve development velocity and code quality, and prototype machine learning models to support predictive analytics use cases.
</p></li><li><p>Communicate findings clearly to both technical and non-technical stakeholders through polished visualizations, reports, and presentations.
</p></li><li><p>Contribute to data infrastructure strategy , including schema design, data governance, and warehouse performance
</p></li></ul><p></p><p><b>Required Knowledge and Experience:
</b><br>
Requires a Bachelor's Degree and minimum of 2 years of relevant experience, or advanced degree with 0 years of experience.
</p><p></p><p><b>Preferred Qualifications:
</b></p><div><ul><li><p><b>Education: </b>Bachelor's degree in Data Science , Computer Science, Engineering, Statistics, or related field
</p></li></ul></div><div><ul><li><p><b>Experience: </b>3 - 5 years ( 1-3 years if master&rsquo;s degree) of hands-on experience deriving insights and driving decisions from large, complex datasets
</p></li></ul></div><div><ul><li><p><b>SQL: </b>Advanced proficiency - complex joins, window functions, CTEs, query optimization
</p></li></ul></div><div><ul><li><p><b>Data Warehousing: </b>Hands-on experience with platforms such as Snowflake, Databricks, BigQuery , Redshift, or Azure Synapse
</p></li></ul></div><div><ul><li><p><b>Python: </b>Proficient in pandas, NumPy, and data visualization libraries (matplotlib, seaborn, plotly )
</p></li></ul></div><div><ul><li><p><b>Statistics: </b>Solid working knowledge of foundational statistical concepts - hypothesis testing, distributions, regression, and sampling methods - applied to real-world product and quality datasets
</p></li></ul></div><div><ul><li><p><b>Communication: </b>Ability to translate technical findings into clear, actionable insights for cross-functional audiences
</p></li></ul></div><div><ul><li><p><b>Data Pipelines: </b>Familiarity with ETL/ELT workflows and pipeline tooling
</p></li></ul></div><div><ul><li><p><b>Cloud: </b>Experience with cloud platforms (AWS, Azure, GCP) in a data context
</p></li></ul></div><div><ul><li><p><b>MedTech / Healthcare: </b>Experience or genuine interest in medical technology, clinical studies, or healthcare data - strongly preferred
</p></li></ul></div><div><ul><li><p><b>Data Storytelling: </b>A passion for turning complex data into compelling narratives that drive action - strongly preferred
</p></li></ul></div><div><ul><li><p><b>Advanced Statistics: </b>Familiarity with advanced statistical techniques such as multivariate analysis, survival analysis, or statistical process control (SPC)
</p></li></ul></div><div><ul><li><p><b>AI Dev Tools: </b>Experience with AI-assisted coding environments such as Windsurf, GitHub Copilot, or similar
</p></li></ul></div><div><ul><li><p><b>ML/Modeling: </b>Familiarity with scikit-learn or similar ML frameworks for classification, regression, or anomaly detection
</p></li></ul></div><div><ul><li><p><b>BI Tools: </b>Experience with Power BI, Tableau, or similar dashboard/reporting platforms
</p></li></ul></div><p></p><h1 class="jobSectionHeader"><b>Physical Job Requirements
</b></h1><p></p><p>The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
</p><p>The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
</p><p></p><h1 class="jobSectionHeader"><b>Benefits &amp; Compensation
</b></h1><p></p><p><b>MiniMed offers a competitive salary and flexible benefits package
</b></p><p>At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life.
</p>Salary ranges for U.S (excl. PR) locations (USD):$87,000.00 - $149,000.00
<p></p><div><p>For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $ 87,000.00 - $149,000.00 USD.
</p></div><p></p><div><p>Actual compensation may vary based on factors including experience, education, certifications, skills, market conditions, internal equity, and geographic location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).<br>
</p></div><p></p><br>
This position is eligible for a short-term incentive called the Short Term Incentive (STI).
<p></p><p>At MiniMed, we are committed to supporting the well-being and financial security of our employees. Regular employees working 20 or more hours per week are eligible for a robust benefits package, including health, dental, and vision insurance, as well as access to a Health Savings Account, Healthcare Flexible Spending Account, life insurance, long-term disability leave, and a dependent daycare spending account. In addition, all regular employees enjoy incentive plans, a 401(k) plan with company match, short-term disability coverage, paid time off and holidays, participation in our Employee Stock Purchase Plan, and access to our Employee Assistance Program. Eligible employees may also benefit from our Non-qualified Retirement Plan Supplement and Capital Accumulation Plan, subject to IRS minimum earnings requirements. Please note that &ldquo;regular employees&rdquo; refers to those who are not temporary staff, such as interns, and some benefits may not apply to employees in Puerto Rico.
</p><p></p><p>For further details about our comprehensive benefits, we encourage you to visit the link below.
</p><p>MiniMed Benefits Overview
</p><p></p><h1 class="jobSectionHeader"><b>About MiniMed
</b></h1><p></p><p>MiniMed is a full-stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey &mdash; when and how they need it. For more than 40 years, we&rsquo;ve been committed to redefining what&rsquo;s possible: intelligent dosing systems designed for real life, predictive insights that stay a step ahead, and always on support when it&rsquo;s needed most. At the heart of everything we do is a simple Mission: to make every day a better day for people with diabetes.<br>
</p><p></p><p>Learn more about our business, and our mission here .<br>
</p><p></p><p>It is the policy of MiniMed to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, familial status, membership or activity in a local human rights commission, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, MiniMed will provide reasonable accommodations for qualified individuals with disabilities.<br>
</p><p></p><p>If you are applying to perform work for MiniMed in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which MiniMed reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. MiniMed will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</p></div>

AI/Data Science Engineer II

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>The GenAI &amp; Data Science Engineer is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a Gen AI and Data Science area. Requires in-depth understanding of application of Gen AI / Agentic AI as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.</p><br>
<p><br>
<b>Responsibilities:</b>
</p><ul><li><p>Design, Develop and deploy generative models for various applications in Fraud Operations.</p>
</li><li><p>RAG Frameworks &ndash; Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements.</p>
</li><li><p>Design and Develop POC / full scale solutions on various automations in Operations area including Conversational AI, Muti Agent Systems for multiple services.</p>
</li><li><p>Responsible for development and deployment of Machine Learning / Deep Learning based models</p>
</li><li><p>Collaborate with cross-functional team to understand business requirements and translate them into AI solutions.</p>
</li><li><p>Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field.</p>
</li><li><p>Optimize and fine-tune models for performance, scalability, and robustness.</p>
</li><li><p>Implement and maintain AI pipelines and infrastructure to support model training and deployment.</p>
</li><li><p>Perform data analysis and preprocessing to ensure high-quality input for model training.</p>
</li><li><p>Implement and maintain AI pipelines and infrastructure to support model training and deployment. - Perform data analysis and preprocessing to ensure high-quality input for model training.</p>
</li><li><p>Mentor junior team members and provide technical guidance.</p>
</li><li><p>Write and maintain comprehensive documentation for models and algorithms.</p>
</li><li><p>Strong understanding of Model Risk Management (MRM) and Fair Lending (FL) guidelines for LLM based solutions</p>
</li><li><p>Present findings and project progress to stakeholders and management.</p><br>
</li></ul><p><br>
<b>Recommended Qualifications:</b>
</p><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus.</p>
</li><li><p>7+ years of experience in machine learning and deep learning, with a focus on generative AI solution design and development.</p>
</li><li><p>Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.</p>
</li><li><p>Strong background of Prompt Engineering, building agentic AI / AI Agents, API / MCPs for large scale automations in banking domain</p>
</li><li><p>Experience with natural language processing (NLP) and natural language generation (NLG).</p>
</li><li><p>Proven track record of building and deploying generative models based solutions in production environments particularly using RAG frameworks.</p>
</li><li><p>Solid understanding of machine learning algorithms, data structures, and software engineering principles.</p>
</li><li><p>Excellent problem-solving skills and the ability to work independently and as part of a team.</p>
</li><li><p>Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</p><br>
</li></ul><p><br>
<b>Education:</b>
</p><ul><li><p>Bachelors/University degree or equivalent experience</p>
</li></ul><p></p><p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Technology
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Digital Software Engineering
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Please see the requirements listed above.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

GenAI & Data Science Engineer - Assistant Vice President

Samsung Electronics

<div><p><b>About Samsung Austin Semiconductor
</b><br>
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.
</p><p></p><p><b>Come innovate with us!
</b></p><p></p><p><b>Position Summary
</b></p><p></p>Samsung Austin Semiconductor is seeking a highly skilled and experienced Data Scientist Engineer to lead the development and implementation of the Fault Detection and Classification (FDC) system. This individual will have a strong background in data science, machine learning, and experience working in the semiconductor industry. The ideal candidate will be responsible for managing the FDC system's evolution and integration with other factory systems and processes, while driving continuous improvement through data-driven decision making.
<br>
<br>
The Fault Detection &amp; Classification (FDC) System Engineer is a crucial role in maintaining the efficiency and productivity of an advanced semiconductor fabrication factory. This role is responsible for owning and overseeing the development and implementation of cutting-edge FDC systems, ensuring optimal equipment monitoring and performance.
<p></p><p><b>Role and Responsibilities
</b></p><p></p><p><b>Here&rsquo;s What You&rsquo;ll Be Responsible For:
</b></p><ul><li><p>Lead the development, testing, and deployment of AI and data-driven solutions for the Fault Detection &amp; Classification system, specifically for early detection and analysis of process/equipment anomalies.
</p></li><li><p>Own and oversee the development, implementation, and maintenance of the FDC system.
</p></li><li><p>Manage the system's evolution and integration with other factory systems and processes.
</p></li><li><p>Coordinate with cross-functional teams to optimize the FDC system for overall factory performance.
</p></li><li><p>Drive continuous improvement of the FDC system through data-driven decision making.
</p></li><li><p>Analyze data and trends to identify areas for improvement and implementation of system updates.
</p></li><li><p>Collaborate with data scientists and engineers to develop and deploy new models and methods for fault detection and classification.
</p></li><li><p>Develop and implement FDC methods and systems that meet the business needs of tier-1 foundries.
</p></li></ul><p></p><p><b>Skills and Qualifications
</b></p><p></p><p><b>Here's what you'll need:
</b></p><ul><li><p>Bachelor's degree or higher in Data Science, Machine Learning, Computer Science, Engineering, or a related field.
</p></li><li><p>7+ years of experience in data science, machine learning, or a relevant field, preferably in the semiconductor industry.
</p></li><li><p>5+ years of FDC experience desired.
</p></li><li><p>Strong knowledge of data analysis, statistics, and machine learning techniques and practices.
</p></li><li><p>Demonstrated ability in leading complex projects.
</p></li><li><p>Experience in collaborating with cross-functional teams, including IT and operations personnel.
</p></li><li><p>Strong project management, communication, and leadership skills.
</p></li></ul><p></p><p><i>The current base salary range for this role is between $76,000 - $174,500. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.
</i></p><p></p><p><b>Total Rewards
</b><br>
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.
</p><p></p><p>We offer a comprehensive benefits package, including:
</p><ul><li><p>Medical, dental, and vision insurance
</p></li><li><p>Life insurance and 401(k) matching with immediate vesting
</p></li><li><p>Onsite caf&eacute;(s) and workout facilities
</p></li><li><p>Paid maternity and paternity leave
</p></li><li><p>Paid time off (PTO) + 2 personal holidays and 10 regular holidays
</p></li><li><p>Wellness incentives and MORE<br>
<br>
</p></li></ul><p>Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.
</p><p></p><p>All positions at Samsung Austin Semiconductor are full-time on-site.
</p><p></p><p><b>U.S. Export Control Compliance
</b><br>
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.
</p><p></p><p><b>Trade Secrets Notice
 </b><br>
By submitting an application, you agree not to disclose to Samsung&mdash;or encourage Samsung to use&mdash;any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
</p><p></p><ul><li>Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page.<br>
</li></ul><br>
<ul><li>Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.</li></ul></div>

Fault Detection & Classification (FDC) Data Science Engineer

DATAMAZE . AI

<div>
 Hyderabad, India / Dubai, UAE
 <br/>
 <br/>
 Full-time
 <br/>
 <br/>
 Apply to Job
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a highly motivated Machine Learning Engineer / Data Scientist to join our dynamic team. In this mid-level role, you will leverage your expertise in data science and machine learning to design, build, and deploy innovative models and solutions that address real-world challenges.
 <br/>
 <br/>
 You will collaborate with cross-functional teams, including data engineers, product managers, and software developers, to turn complex datasets into actionable insights and build machine learning solutions that drive business value. This is a fantastic opportunity to work on impactful projects, expand your skill set, and contribute to cutting-edge advancements in AI and data science.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Model Development: Design, train, and evaluate machine learning models to solve business problems such as classification, regression, clustering, and recommendation.
  </li>
  <li>
   Data Preparation: Work with large and complex datasets, performing data cleaning, preprocessing, and feature engineering to optimize model performance.
  </li>
  <li>
   Model Deployment: Deploy machine learning models into production environments, ensuring scalability and robustness.
  </li>
  <li>
   Algorithm Selection: Research and implement state-of-the-art algorithms and methodologies to enhance model accuracy and efficiency.
  </li>
  <li>
   Collaboration: Collaborate with data engineering teams to build data pipelines and ensure efficient data flow for machine learning workflows.
  </li>
  <li>
   Visualization and Reporting: Create clear and actionable visualizations and reports to communicate findings and results to stakeholders.
  </li>
  <li>
   Monitoring and Maintenance: Monitor model performance in production, address drift or bias issues, and optimize models as needed.
  </li>
  <li>
   Tool Development: Build tools and frameworks to enable rapid experimentation and iteration of machine learning models.
  </li>
  <li>
   Documentation: Maintain comprehensive documentation for models, experiments, and processes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Education:
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent experience).
 <br/>
 <br/>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong programming skills in Python, R, or similar languages.
  </li>
  <li>
   Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  </li>
  <li>
   Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL.
  </li>
  <li>
   Experience with big data technologies such as Spark, Hadoop, or similar.
  </li>
  <li>
   Knowledge of cloud platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML).
  </li>
  <li>
   Familiarity with MLOps practices and tools for CI/CD in machine learning workflows.
  </li>
  <li>
   Understanding of data visualization tools like Matplotlib, Seaborn, or Tableau.
  </li>
  <li>
   Strong grasp of statistical methods, probability, and optimization techniques.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of experience in machine learning, data science, or a related field.
  </li>
  <li>
   Proven experience building and deploying machine learning models in production.
  </li>
  <li>
   Experience with natural language processing (NLP), computer vision, or time-series analysis is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong problem-solving and analytical thinking abilities.
  </li>
  <li>
   Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  </li>
  <li>
   Ability to work independently and collaboratively within a team.
  </li>
  <li>
   Curiosity and eagerness to stay updated on the latest advancements in machine learning and AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 Datamaze is a dynamic company specializing in AI, Data, and Analytics consulting services. We are dedicated to transforming businesses by leveraging the power of data and artificial intelligence. With a team of industry experts in technology, business strategy, and data science, Datamaze offers a range of services including data strategy development, AI model creation, advanced analytics, and data visualization. Our approach is client-centric, focusing on creating customized solutions that address unique business challenges and objectives. The team, comprising data scientists, AI experts, strategists, and engineers, is committed to continuous learning and innovation.
 <br/>
 <br/>
 Datamaze positions itself as a trusted partner for businesses looking to navigate the complex data and AI landscape, aiming to optimize operations, inform decision-making, and maintain a competitive edge.
 <br/>
 <br/>
 Apply Now
</div>


Machine Learning Engineer / Data Scientist (Mid-Level)

ALTEN

<div>
 <p>
  <strong>
   The Position
  </strong>
 </p>
 <p>
  Join ALTEN Nederland as a
  <strong>
   Senior Data Scientist / Machine Learning Engineer
  </strong>
  in the
  <strong>
   AdTech &ndash; Customer Tech Platform &ndash; Orchestration
  </strong>
  team. You&rsquo;ll work on a
  <strong>
   scalable retail media SaaS platform
  </strong>
  for global brands helping advertisers optimize campaigns across digital and physical channels.
 </p>
 <p>
  This role focuses on
  <strong>
   production-grade machine learning systems
  </strong>
  ,
  <strong>
   Generative AI
  </strong>
  ,
  <strong>
   RAG
  </strong>
  , and
  <strong>
   agentic AI concepts
  </strong>
  . You&rsquo;ll contribute to our
  <strong>
   AI strategy roadmap
  </strong>
  while ensuring quality, governance, and operational feasibility.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Develop, maintain, and improve
   <strong>
    cutting-edge data science solutions
   </strong>
   for intelligent retail media capabilities.
  </li>
  <li>
   Perform
   <strong>
    data analysis and reporting
   </strong>
   to support product, business, and technical decision-making.
  </li>
  <li>
   Collaborate with
   <strong>
    Data Scientists, Backend Developers, QA Engineers, and Product stakeholders
   </strong>
   in multidisciplinary teams.
  </li>
  <li>
   Assess
   <strong>
    GenAI applications
   </strong>
   for the retail media platform, focusing on
   <strong>
    quality, governance, and operational feasibility
   </strong>
   .
  </li>
  <li>
   Contribute to
   <strong>
    agentic AI concepts
   </strong>
   , including
   <strong>
    API integrations, tool use, and autonomous system workflows
   </strong>
   .
  </li>
  <li>
   Establish
   <strong>
    evaluation practices
   </strong>
   for AI systems, such as
   <strong>
    prompt evaluation, LLM-as-a-judge, and hallucination monitoring
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Profile
  </strong>
 </p>
 <p>
  <strong>
   Education and Experience:
  </strong>
 </p>
 <ul>
  <li>
   Extensive experience as a
   <strong>
    Data Scientist, Machine Learning Engineer, or Python Developer
   </strong>
   in production-grade systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills:
  </strong>
 </p>
 <ul>
  <li>
   Strong
   <strong>
    Python development skills
   </strong>
   with experience in
   <strong>
    GitHub and CI/CD practices
   </strong>
   .
  </li>
  <li>
   Full lifecycle expertise in
   <strong>
    machine learning/data science services
   </strong>
   , including
   <strong>
    experimentation, deployment, monitoring, and maintenance
   </strong>
   .
  </li>
  <li>
   Strong
   <strong>
    data analysis skills
   </strong>
   with the ability to translate insights into
   <strong>
    product and business decisions
   </strong>
   .
  </li>
  <li>
   Familiarity with
   <strong>
    agentic AI
   </strong>
   , including
   <strong>
    tool use, function calling, API integration, and autonomous system risks
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    AI evaluation methods
   </strong>
   , such as
   <strong>
    prompt testing, LLM-as-a-judge, and drift monitoring
   </strong>
   .
  </li>
  <li>
   Knowledge of
   <strong>
    API integrations
   </strong>
   (GraphQL, OAuth, Keycloak) and
   <strong>
    event-driven architectures
   </strong>
   (Java/Kotlin is a plus).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Language:
  </strong>
 </p>
 <ul>
  <li>
   Fluent in
   <strong>
    English
   </strong>
   (required).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Working Conditions
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Location:
   </strong>
   Hybrid,
   <strong>
    1 day per week in presence
   </strong>
   .
  </li>
  <li>
   <strong>
    Type:
   </strong>
   Permanent contract.
  </li>
  <li>
   <strong>
    Team:
   </strong>
   AdTech &ndash; Customer Tech Platform &ndash; Orchestration.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <ul>
  <li>
   Contribute to a
   <strong>
    scalable retail media SaaS platform
   </strong>
   used by global brands.
  </li>
  <li>
   Shape the future of
   <strong>
    AI-driven retail media
   </strong>
   with Generative AI, RAG, and agentic AI.
  </li>
  <li>
   Work in
   <strong>
    multidisciplinary teams
   </strong>
   with Data Scientists, Developers, and Product stakeholders.
  </li>
  <li>
   Develop
   <strong>
    production-grade AI solutions
   </strong>
   and advance your career in a dynamic environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About ALTEN
  </strong>
 </p>
 <p>
  ALTEN is a global leader in
  <strong>
   engineering and technology consulting
  </strong>
  , driving innovation across industries. We empower professionals to tackle complex challenges and grow their careers. Join us and be part of a team that&rsquo;s shaping the future!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ready for a new challenge?
  </strong>
  Apply now and let&rsquo;s build the future of retail media together! 🚀
 </p>
 <p>
  #DataScience #MachineLearning #AI #RetailMedia #ALTENCareers #HybridWork #ZaandamJobs
 </p>
</div>


Machine Learning Engineer

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today&rsquo;s world of change and disruption, optimism is a force multiplier.</p><b><br>
Job Description</b><p><br>
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.</p><p>
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:</p><ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul><br>
<b>
Additional Information</b><p><br>
We are unable to provide a work permit for this position</p><p></p><p><br>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

Consultant Data Engineer

Hewlett Packard Enterprise | HPE

<div>Principal Engineer, Storage Data Science and Analytics<p><br>
</p>This role has been designed as &lsquo;&rsquo;Onsite&rsquo; with an expectation that you will primarily work from an HPE office.<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Who We Are:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today&rsquo;s complex world. Our culture thrives on finding new and better ways to accelerate what&rsquo;s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Job Description:</b></p><p><br>
</p><h3 class="jobSectionHeader"><b>In the HPE </b><b>Hybrid Cloud,</b><b> we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. </b><b>Join us redefine what&rsquo;s next for you.</b><b>Technical Leadership &amp; Strategy</b><br>
<br>
<b>What you&rsquo;ll do:</b></h3><p><br>
As a Principal Engineer for Data Science &amp; Analytics, you will serve as the premier technical authority bridging advanced machine learning, GenAI, and big data analytics with HPE's next-generation cloud and storage ecosystem (HPE GreenLake and hybrid cloud).</p><p><br>
In this role, you will lead the architectural strategy to extract, analyze, and operationalize intelligence from vast telemetry data pipelines generated by enterprise file, block, and object storage systems. Your work will directly impact time-to-market, cost reduction, and predictive data management frameworks (including AIOps, predictive infrastructure failure, storage deduplication, and quality of service tuning).</p><p></p><p><b>
What you need to bring:
</b></p><ul><li><p><b>Architectural Vision:</b> Define the organization-wide data architecture strategy and analytical roadmaps for software systems running across HPE&rsquo;s hybrid cloud platform.</p></li><li><p><b>
Storage Optimization:</b> Develop predictive, prescriptive, and generative AI models to map data paths, enhance memory/space management, and predict capacity or hardware failure across global enterprise clusters.</p></li><li><p><b>
AIOps &amp; Smart Telemetry:</b> Validate highly complex, distributed telemetry data from customer storage networks to uncover structured insights that drive automated mitigation and system reliability.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Engineering &amp; Model Development</b></h3><ul><li><p><b>
Scale &amp; Deploy:</b> Design, deploy, and scale machine learning and deep learning code to run reliably in worldwide production edge-to-cloud environments.</p></li><li><p><b>
Pipeline Design:</b> Collaborate with data engineering to establish standardized ELT patterns, big data storage views, and high-throughput, low-latency streaming pipelines (supporting Kafka, Spark, etc.).</p></li><li><p><b>
Generative AI &amp; Agentic Workflows:</b> Integrate advanced LLM workflows, Retrieval-Augmented Generation (RAG), and agentic systems into storage customer support analytics and digital products to automate troubleshooting.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Collaboration &amp; Governance</b></h3><ul><li><p><b>
Cross-Functional Orchestration:</b> Partner with product management, storage hardware engineers, and business executives to translate abstract business challenges into production-ready analytical solutions.</p></li><li><p><b>
Mentorship &amp; Culture:</b> Provide career guidance, conduct design reviews, and actively mentor senior engineers and data scientists across multiple Scrum teams to foster an innovative technical community.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Core Requirements &amp; Qualifications</b></h2><h3 class="jobSectionHeader"><b>
Education &amp; Experience</b></h3><ul><li><p><b>
Education:</b> Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Mathematics, or a highly technical, data-oriented discipline.</p></li><li><p><b>
Experience:</b> 10+ years of proven industry experience in software product development or enterprise data science, with a heavy emphasis on distributed systems, storage, or cloud infrastructure architectures.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Hard Skills &amp; Technical Proficiency</b></h3><ul><li><p><b>
Core Data Science &amp; ML:</b> Advanced mastery of machine learning algorithms (time-series forecasting, clustering, anomaly detection, random forests) and deep learning frameworks.</p></li><li><p><b>
Programming &amp; Systems:</b> Expert Python/Go-lang programmer. Strong working knowledge of data structures, algorithmic complexity, and multi-threaded programming. Experience with C/C++ or system internals is a strong differentiator.</p></li><li><p><b>
Generative AI:</b> Concrete experience building and fine-tuning LLMs, prompt engineering, and leveraging vector databases.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Soft Skills &amp; Innovation</b></h3><ul><li><p><b>
Communication:</b> Exceptional ability to explain highly technical architectural trade-offs, algorithms, and AI solutions clearly to non-technical business leaders and executive management.</p></li><li><p><b>
IP Generation:</b> A proven track record of industry innovation, backed by whitepapers, industry conference contributions, or patents in software and analytical design.</p></li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div>
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
What We Can Offer You:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Health &amp; Wellbeing</b></p><p>
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><p></p><p><b>
Personal &amp; Professional Development</b></p><p>
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have &mdash; whether you want to become a knowledge expert in your field or apply your skills to another division.</p><p></p><p><b>
Unconditional Inclusion</b></p><p>
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Let's Stay Connected:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>#india
#hybridcloud<p></p><p><b>
Job:</b></p>
Engineering<p><b>
Job Level:</b></p>
TCP_05<p><br>
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</b></p><p><br>
</p><p>HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</p><p><br>
</p><p><b>Recruitment Fraud Alert</b></p><p></p><p>
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.</p><p></p><p>
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual&rsquo;s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.</p></div>

Principal Engineer, Storage Data Science and Analytics

Search 7900+ Data science engineer jobs near you this July. New roles added regularly across leading industries. Apply today.