885 Data Science jobs in San Jose

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

• Build a storage scheduler in a new market:
• Collect new signals necessary for modeling
• Read and implement constraints defined in electricity market tariffs
• Work with the ML Team to create the necessary forecasts
• Work with the Optimization Team to solve the portfolio optimization
• Create a pricing engine for time-matched (24/7) clean electricity supply:
• Ingest data on clean energy supply contracts, load shapes, and electricity prices
• Work with the ML Team to forecast retail customer load
• Work with the Optimization Team to create a least-cost supply portfolio

• Are working on a relevant graduate degree
• Write production-level code, preferably in Python
• Enjoy collaborative, cross-functional work
• Have led or contributed to successful software projects, ideally in the electricity market domain

#LI-DNI
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Primary Skills: Hive/SQL (Expert), Databricks (Proficient), Tableau/PowerBI (Expert), A/B Testing (Advanced), Data Stitching (Advanced) Contract Type: W2 only Duration: 6+ Months with Possible Extension Location: San Jose, CA (#LI-Hybrid) Pay Range: $58 - $63 per hour. on W2 #LP Job Summary: We are seeking a Data Science Analyst local to SJ who will drive significant improvements in customer engagement and revenue through analytics, insights, and collaboration with cross-functional teams. The ideal candidate will expertly stitch and calibrate data from diverse sources to inform strategic decisions, and build self-serving reporting frameworks to empower our partners. This role demands a dynamic individual who can analyze large datasets, conduct A/B testing, and develop comprehensive dashboards and reports. Key Responsibilities: Conduct in-depth analytics to drive revenue and engagement programs, including A/B test analyses. Collaborate with product managers to derive actionable insights from customer behavior and product usage. Expertly manage data from various sources, ensuring quality and accessibility. Respond to ad-hoc data requests and support understanding of customer behavior. Develop and maintain reporting frameworks that allow for self-serve access to key data metrics. Must-Have Skills: Proficiency in Hive/SQL and familiarity with Databricks. Strong experience in creating detailed reports and dashboards using Tableau or PowerBI. Solid track record in hypothesis testing and analytics for A/B testing. Industry Experience: Prior experience in data science or analytics within a product-driven environment is preferred. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Position Summary.

What you'll do.

Walmart Global Tech's Next Gen Commerce team is building the future of retail through intelligent, immersive, and conversational experiences. We're creating AI-driven systems that redefine how customers discover, explore, and shop-whether through personalized media, generative content, or intelligent shopping agents. Our work spans multimodal modeling, LLM-based dialogue systems, 3D/AR content generation, and more-all at the scale of the world's largest retailer.

About the Role

As a Senior Distinguished Data Scientist , you will drive scientific strategy and hands-on development across some of Walmart's most strategic AI initiatives. Whether optimizing real-time conversational agents or building generative media systems, you'll help deliver transformative, customer-facing capabilities. This is a high-impact, technical leadership role focused on innovation, production-quality execution, and cross-functional alignment.

What You'll Do

• Lead technical design and execution of AI systems that power immersive commerce and intelligent shopping journeys

• Build and optimize generative models for rich media (e.g., image, video, 3D) and multimodal understanding (e.g., vision-language, spatial awareness)

• Develop LLM-driven agents capable of multi-turn, grounded, and context-aware interactions

• Define architecture, evaluation frameworks, and experimentation pipelines across complex model stacks

• Collaborate across Engineering, Product, and Design to translate cutting-edge research into scalable, real-world applications

• Stay at the forefront of developments in LLMs, diffusion models, 3D representations, agent orchestration, and memory systems

• Ensure development excellence through code reviews, prototyping, model validation, and continuous optimization

What You'll Bring

• 10+ years in Data Science, Machine Learning, or Applied AI

• Deep expertise in one or more of the following: generative AI, LLMs, computer vision, conversational AI, multimodal modeling, or 3D/AR systems

• Proven track record of deploying models into production environments at scale

• Strong understanding of model architecture, training strategy, and system performance tradeoffs

• Hands-on experience with evaluation frameworks, A/B testing, and model monitoring

• Strong communication skills and a history of influencing cross-functional stakeholders

• Ph.D. or Master's in Computer Science, Machine Learning, NLP, or related field preferred

Why This Role is Critical

This role sits at the intersection of retail, AI, and emerging user experiences. As the industry rapidly evolves toward generative and agentic technologies, Walmart is investing heavily to lead this transformation. We need senior AI technologists with deep technical rigor and the vision to build what's next-at global scale.

Join Us

This is your opportunity to shape the future of commerce through cutting-edge AI. At Walmart, you'll turn deep science into real-world impact-reaching hundreds of millions of people.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

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For information about PTO, see .

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

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For information about benefits and eligibility, see One.Walmart ( .

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Sunnyvale, California US-11349:The annual salary range for this position is $169,000.00-$38,000.00

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Bentonville, Arkansas US-10735:The annual salary range for this position is 130,000.00- 260,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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• Stock

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Minimum Qualifications.

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field.

Preferred Qualifications.

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Primary Location.

1395 Crossman Ave, Sunnyvale, CA , United States of America

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

Data Science Lead

Description -

Job Summary
• This role is responsible for overseeing a team of machine learning engineers and data scientists, guiding the development of machine learning models, and aligning them with business goals. The Data Science Lead designs and builds robust models to support business decisions and strategies. The role triages new AI/ML use cases and formulates a plan for delivery. The role communicates technical development progress, challenges, and outcomes to stakeholders and senior management. The role provides technical guidance and mentorship to team members and fosters a culture of continuous professional growth.

Responsibilities

• Provides direct and ongoing leadership for a team of individual contributors that design, deploy, maintain and monitor machine learning models, pipelines, and systems.
• Collaborates with business stakeholders to understand use cases, user experience requirements, and goals. Then establishes development plans commensurate with these requirements.
• Oversees end-to-end machine learning model lifecycle, from data collection and preprocessing to model selection and optimization, to deployment and ongoing maintenance.
• Drives the selection and application of appropriate machine learning algorithms, techniques, tools, and CI/CD pipelines.
• Manages headcount, deliverables, schedules, and costs for multiple ongoing products, ensuring that resources are appropriately allocated, and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.
• Communicates technical development status and escalates issues to direct managers, program managers, and internal and external development partners.
• Manages relationships with internal and external partners, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating.
• Regularly evaluates and considers new applications, use cases, and proofs of concept to keep the organization at the forefront of AI and ML technology.
• Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development.
• Ensures that proper knowledge and career development tools are in place to support ongoing team member and process development.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of job-related experience or 5-7 years of management experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.

Preferred Experience
• Developing Generative AI solutions

• Experience deploying Deep Learning Neural Network Models

Knowledge & Skills
• Agile Methodology
• Algorithms
• Generative Pretrained Transformers
• Apache Spark
• Artificial Intelligence
• Automation
• Reinforcement Learning
• Computer Science
• Data Science
• Deep Learning
• Machine Learning
• Microsoft Azure
• Natural Language Processing
• Python (Programming Language)
• PyTorch (Machine Learning Library)
• Scikit-learn (Machine Learning Library)
• Software Engineering
• TensorFlow

Cross-Org Skills
• Customer Centricity
• Prioritization
• Resilience
• Team Management
• Strategic Thinking

Impact & Scope
• Impacts function and leads projects requiring understanding of multiple disciplines or areas of HP.

Complexity
• Uses managerial concepts and company objectives to resolve issues in creative and effective ways.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -
Software

Schedule -
Full time

Shift -
Shift 1, 0% premium (United States of America)

Travel -
25%

Relocation -
No

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement

Hi Professionals,
Hope you are doing good

This is Jayaraman from Info Way Solutions, LLC We have job opening for Data Science Engineer and the detailed Job description is given below:

Kindly check the JD and share your views
Data Science Engineer
Job Location: Boston, MA - 4 days to office.
( Local Profile only )

Job Description:
We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as AWS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M/L).
As a Data Science Engineer, you will play a crucial role in designing, building, and optimizing data pipelines, machine learning models, and analytics solutions. You will work closely with cross-functional teams to extract actionable insights from data and drive business outcomes.
Key Responsibilities:
• Develop and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and integration from various sources.
• Utilize Python and Spark for data preprocessing, feature engineering, and model development.
• Design and implement data lake architecture using Snowflake Data Lake, Snowflake data warehouse and S3 for scalable and efficient storage and processing of structured and unstructured data.
• Leverage SageMaker for model training, evaluation, deployment, and monitoring in production environments.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements, develop predictive models, and generate actionable insights.
• Conduct exploratory data analysis (EDA) and data visualization to communicate findings and trends effectively.
• Stay updated with advancements in machine learning algorithms, techniques, and best practices to enhance model performance and accuracy.
• Ensure data quality, integrity, and security throughout the data lifecycle by implementing robust data governance and compliance measures.

Qualifications:
• Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related field.
• Proficiency in AWS services such as Glue, S3, SageMaker, and Snowflake Data Lake with 5-6 years of experience.
• Strong programming skills in Python for data manipulation, analysis, and modeling.
• Experience with distributed computing frameworks like Spark for big data processing.
• Knowledge of machine learning concepts, algorithms, and tools for regression, classification, clustering, and recommendation systems.
• Familiarity with data visualization tools with Tableau for creating meaningful visualizations.
• Excellent problem-solving, analytical thinking, and communication skills.
• bility to work collaboratively in a team environment and manage multiple priorities effectively.
• Experience deploying machine-learning models in production environments and monitoring their performance.
• Knowledge of MLOps practices, model versioning, and automated model deployment pipelines.
• Familiarity with SQL, NoSQL databases, and data warehousing concepts.
• Strong understanding of cloud computing principles and architectures.
• Certifications in AWS, Python, Spark, or related technologies.

Thanks & Regards,
Jayaraman
Email:
Direct:
Work: Ext 105
Info Way Solutions LLC | 46520 Fremont Blvd, Suite 614 | Fremont, CA - 94538

Data Science Engineer
Job Location: Boston, MA - 4 days to office.
( Local Profile only )

Job Description:
We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as AWS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M/L).
As a Data Science Engineer, you will play a crucial role in designing, building, and optimizing data pipelines, machine learning models, and analytics solutions. You will work closely with cross-functional teams to extract actionable insights from data and drive business outcomes.
Key Responsibilities:
• Develop and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and integration from various sources.
• Utilize Python and Spark for data preprocessing, feature engineering, and model development.
• Design and implement data lake architecture using Snowflake Data Lake, Snowflake data warehouse and S3 for scalable and efficient storage and processing of structured and unstructured data.
• Leverage SageMaker for model training, evaluation, deployment, and monitoring in production environments.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements, develop predictive models, and generate actionable insights.
• Conduct exploratory data analysis (EDA) and data visualization to communicate findings and trends effectively.
• Stay updated with advancements in machine learning algorithms, techniques, and best practices to enhance model performance and accuracy.
• Ensure data quality, integrity, and security throughout the data lifecycle by implementing robust data governance and compliance measures.

Qualifications:
• Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related field.
• Proficiency in AWS services such as Glue, S3, SageMaker, and Snowflake Data Lake with 5-6 years of experience.
• Strong programming skills in Python for data manipulation, analysis, and modeling.
• Experience with distributed computing frameworks like Spark for big data processing.
• Knowledge of machine learning concepts, algorithms, and tools for regression, classification, clustering, and recommendation systems.
• Familiarity with data visualization tools with Tableau for creating meaningful visualizations.
• Excellent problem-solving, analytical thinking, and communication skills.
• Ability to work collaboratively in a team environment and manage multiple priorities effectively.
• Experience deploying machine-learning models in production environments and monitoring their performance.
• Knowledge of MLOps practices, model versioning, and automated model deployment pipelines.
• Familiarity with SQL, NoSQL databases, and data warehousing concepts.
• Strong understanding of cloud computing principles and architectures.
• Certifications in AWS, Python, Spark, or related technologies.

Thanks & Regards,

Saravanan.R |Infowaygroup.com|

Direct:

Work: Ext 111
Saravanan @infowaygroup.com
Info Way Solutions LLC, Fremont, CA