data scientist, intern

business data analyst

data engineer

data scientist

data scientist intern

senior data scientist

Boot Barn

<div>
 
 The Senior Data Scientist will play a critical role in building the foundation of Boot Barn&rsquo;s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.
 
 
 
 
 Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.
 
 
 
 
 
 
 
 Essential Duties and Responsibilities
 
 
 <ul>
 <li>
 Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
 </li>
 <li>
 Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
 </li>
 <li>
 Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
 </li>
 <li>
 Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
 </li>
 <li>
 Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
 </li>
 <li>
 Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
 </li>
 <li>
 Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
 </li>
 <li>
 Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
 </li>
 <li>
 Translate complex model results into clear business insights for technical and non-technical audiences.
 </li>
 <li>
 Demonstrates high level of quality work, attendance and appearance.
 </li>
 <li>
 Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
 </li>
 <li>
 Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
 </li>
 <li>
 Performs any other duties that may be assigned by management.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
 </li>
 <li>
 Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)
 </li>
 <li>
 Experience with LLMs, vector databases, and RAG pipelines
 </li>
 <li>
 Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
 </li>
 <li>
 Strong collaboration skills, with experience working closely with engineering and product teams.
 </li>
 <li>
 Retail and/or e-commerce experience preferred.
 </li>
 </ul>
 
 
 
 
 
 Competencies
 
 
 <ul>
 <li>
 Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
 </li>
 <li>
 Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.
 </li>
 </ul>
 
 
 
 
 Boot Barn Benefits &amp; Additional Compensation Opportunities
 
 
 <ul>
 <li>
 Competitive salary.
 </li>
 <li>
 Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
 </li>
 <li>
 Paid Time Off plan for year-round Boot Barn Partners.**
 </li>
 <li>
 Medical, Dental, Vision and Life Insurance.**
 </li>
 <li>
 401(k) plan with generous company matching.
 </li>
 <li>
 Flexible schedules and work/life balance.
 </li>
 <li>
 Opportunities for growth at every level &ndash; we are opening 50+ new stores each year.
 </li>
 </ul>
 
 **For eligible Boot Barn Partners
 
 
 PAY RANGE: $125,000.00 - $150,000.00/yr*
 
 
 
 *compensation varies based on geography, skills, experience, and tenure
 
 
 
 
 
 
 
 Physical Demands
 
 
 
 In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.
 
 <ul>
 <li>
 Standing, walking and squatting less than fifty percent of the work shift.
 </li>
 <li>
 Required to lift, move and carry up to 40 pounds.
 </li>
 <li>
 Ability to read, count and write to accurately complete all documentation and reports.
 </li>
 <li>
 Must be able to see, hear and speak in order to communicate with partners and customers.
 </li>
 <li>
 Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
 </li>
 <li>
 Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.
 </li>
 </ul>
 
 [ ] Sedentary: Limited activity, no lifting, limited walking
 
 
 [ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking
 
 
 [ ] Moderate: Mostly standing, walking, bending, frequent lifting
 
 
 [ ] Arduous: Heavy lifting, bending, crawling, climbing
 
 
 
 
 
 Work Environment
 
 
 
 In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.
 
 <ul>
 <li>
 The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
 </li>
 <li>
 Noise levels are considered moderate.
 </li>
 </ul>
 
 
 
 
 Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.
 
 
 
 
 
 
 Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.
 
 
 
 
 
 
 
 Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.
 
 
 
 
 
 California Privacy Notice
 
</div>

Senior Data Scientist

Revelyst

<div><h1 class="jobSectionHeader">Job Description
</h1>Revelyst is a collective of makers who design and manufacture performance gear and precision technologies. Our category-defining brands leverage meticulous craftsmanship and cross-collaboration to pursue innovation and redefine what is humanly possible in the outdoors.
We are adding an experienced Senior Data Engineer who will lead the design, development, and optimization of robust data pipelines and enterprise data solutions. The person in this role will mentor junior team members, define best practices, and collaborate with cross-functional teams to drive data strategy and architecture. This role requires deep technical expertise and the ability to architect scalable, secure, and high-performance data systems.
This position reports to the Manager, IT &amp; Business Analytics and is located Onsite 4 days per week in Irvine, CA.
As the Senior Data Engineer, you will have the opportunity to:
<ul><li>Design, build, and optimize large-scale ETL/ELT pipelines using Azure Data Factory (ADF) and other cloud-native tools.
</li><li>Architect and implement complex data models, database schemas, and data lakehouse structures.
</li><li>Lead data integration initiatives across enterprise systems, ensuring reliability, quality, and performance.
</li><li>Establish data engineering standards, governance, and best practices.
</li><li>Troubleshoot and enhance production data workflows.
</li><li>Collaborate with analytics, product, and business teams to deliver scalable data solutions.
</li><li>Demonstrate strong self-motivation and ownership by proactively identifying improvements, risks, and opportunities within data systems.
</li><li>Apply engineering best practices to prevent technical debt, ensure long-term maintainability, and mitigate scaling or performance issues.
</li><li>Work closely with internal and external teams to support integrations, resolve technical issues, and ensure smooth data exchange across platforms.
</li></ul>You Bring:
<ul><li>Advanced SQL expertise
</li><li>Strong experience with Azure technologies including ADF, Azure Databricks, Azure Data Lake Storage, and Azure Synapse
</li><li>Expertise in data modeling, database optimization, and distributed data processing
</li><li>Proficiency in Python or similar scripting languages
</li><li>Experience with Spark or other big data processing frameworks
</li><li>Experience with retail and sales data
</li></ul>Preferred Qualifications:
<ul><li>Azure Data Engineer Associate or Architect-level certifications
</li><li>Experience mentoring junior engineers
</li><li>Experience with CI/CD for data pipelines and DevOps tooling
</li><li>Experience specifically in ERP data with a focus on SAP
</li></ul>Pay Range:
Annual Salary: $123,000.00 - $140,000.00
The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer.
We offer a highly competitive salary, comprehensive benefits including: medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission!
Our Postings are not intended for distribution to or use in any jurisdiction, country or territory where such distribution or use would violate local law or would subject us to any regulations in another jurisdiction, country or territory. We reserve the right to limit our Postings in any jurisdiction, country or territory.
Equal Opportunity Employer Protected Veteran/Disabled</div>

Sr. Data Engineer

Skyworks Solutions, Inc.

<div>
 If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
 
 
 At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
 
 
 Requisition ID: 75764
 
 
 
 Description
 
 
 
 Skyworks Solutions is seeking a
 
 Machine Learning Engineer (MLE)
 
 to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role designed for individuals who thrive at the intersection of cutting-edge machine learning, signal processing, and semiconductor innovation. If you&rsquo;re looking to apply your ML expertise to high-impact, real-world engineering challenges in the analog and RF domain, this is your opportunity.
 
 
 Skyworks is an innovator of high-performance analog semiconductors enabling next-generation wireless communications. From 5G to IoT to automotive, our technologies are helping to connect the world. At Skyworks, you&rsquo;ll find a fast-paced environment with a flat organizational structure and global collaboration. We value open communication, creativity, mutual respect, and technical excellence.
 
 
 
 Responsibilities
 
 
 
 As a Machine Learning Engineer on the Data Analytics and AI Enablement team, you will lead and contribute to projects that apply advanced ML and deep learning to a variety of use cases across the company&mdash;including design automation, yield prediction, anomaly detection, signal classification, and device modeling. You will collaborate with world-class engineers across electrical, RF, product, and manufacturing domains to deliver real business impact through data and AI.
 
 
 <ul>
 <li>
 Predictive analytics for yield and quality improvement
 </li>
 <li>
 Optimization of circuit or device parameters
 </li>
 <li>
 RF signal modeling and anomaly detection
 </li>
 <li>
 Root-cause analysis across test and manufacturing data
 </li>
 <li>
 Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
 </li>
 <li>
 Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners to understand problem statements and translate them into ML solutions.
 </li>
 <li>
 Work on both research-oriented prototypes and production-grade deployments.
 </li>
 <li>
 Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal processing, or high-dimensional time-series data.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 <ul>
 <li>
 BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
 </li>
 <li>
 Strong theoretical and practical experience in machine learning and deep learning, including CNNs, transformers, time-series models, or probabilistic methods.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
 </li>
 <li>
 Solid understanding of statistics, optimization, and model evaluation techniques.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to work across disciplines and teams.
 
 
 </li>
 </ul>
 
 Desired Experience And Skills
 
 
 
 <ul>
 <li>
 Exposure to semiconductor, electronics, or RF system domains (e.g., basic understanding of circuit behavior, test data, signal integrity).
 </li>
 <li>
 Experience working with large, complex datasets (e.g., sensor, waveform, or EDA simulation outputs).
 </li>
 <li>
 Familiarity with data infrastructure and workflow orchestration (e.g., Airflow, MLflow, or cloud platforms).
 </li>
 <li>
 Contributions to peer-reviewed research, patents, or open-source ML projects.
 
 
 </li>
 </ul>
 The typical base pay range for this role across the U.S. is currently USD $91,200 - $177,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
 
 
 Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
 
 
</div>

Data Scientist

WeVision LLC

Employment Type: Contract/remoteAbout the RoleWe are seeking a Sr. Data Engineer Consultant to support the development and enhancement of a large-scale Audience Data Platform (AMP) for a leading global streaming and media technology company.This platform serves as the centralized audience data hub, capturing and processing consumer behavior across multiple channels and delivering summarized insights to downstream systems that support marketing, analytics, product, and business decision-making.As a Sr.Data Engineer Consultant, you will play a key role in building scalable and reliable data infrastructure that enables the organization to maintain a comprehensive and trusted source of customer data. Your work will directly impact how teams across the company understand audiences, generate insights, and activate data-driven strategies.What You Will Do<ul><li>Design, develop, and maintain large-scale data pipelines that capture and process consumer interaction data across multiple platforms.</li><li>Contribute to the development of the Audience Manager Platform (AMP), a centralized system that unifies customer profiles and provides a trusted source of audience insights.</li><li>Build scalable and fault-tolerant data processing systems to ensure reliable delivery of audience data to multiple business endpoints.</li><li>Develop backend data services and pipelines that support data ingestion, transformation, and activation workflows.</li><li>Work with cross-functional teams including data scientists, analytics teams, product teams, and business stakeholders to enable timely access to high-quality audience data.</li><li>Optimize and maintain distributed data processing frameworks to improve system performance and scalability.</li><li>Ensure high data quality, reliability, and observability across production data systems.</li><li>Serve as a technical point of contact or SME for data engineering systems in a multi-system production environment.</li></ul>Basic Qualifications<ul><li>4+ years of experience in big data engineering, building and maintaining large-scale data pipelines.</li><li>Hands-on experience with distributed data processing systems such as Spark (PySpark) or Flink.</li><li>Strong programming skills in Python and SQL for processing large datasets.</li><li>Experience with at least one MPP or cloud data warehouse such as Snowflake, Redshift, BigQuery, or Databricks.</li><li>Solid understanding of data modeling, data warehousing concepts, and best practices.</li><li>Experience supporting production data environments and acting as a technical point of contact or subject matter expert.</li><li>Strong analytical, problem-solving, and communication skills, with high attention to detail.</li></ul>Preferred Qualifications<ul><li>Experience working with AWS cloud technologies (e.g., S3, ECS, EMR, EC2, Lambda).</li><li>Hands-on experience with data orchestration and integration tools such as Airflow.</li><li>Familiarity with CI/CD practices for data pipelines.</li><li>Experience working within Agile or Scrum development environments.</li></ul>Education<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Software Engineering, Electrical/Electronics Engineering, or a related technical field, or equivalent practical experience.</li><li>Minimum of 4 years of relevant professional experience in data engineering or related roles.</li></ul>Location PreferenceWhile this role is open to candidates across the U.S., candidates based in California or Utah are strongly preferred.Job Type: Full-timePay: $100,000.00 - $160,000.00 per yearWork Location: Hybrid remote in Irvine, CA 92618

Sr. Data Engineer-Audience Data Platform

Bio-Rad Laboratories, Inc.

<div><div>We are looking for a hands-on Data Scientist Intern to join our team in Irvine, CA. You will be involved in the development of data science models for the clinical diagnostic business. Your duties will include understanding the business need, developing a data science solution, and writing production-ready code. 


Location: This position must be based in Irvine, California and requires the employee to be located within commuting distance of the office.

How You'll Make An Impact:
<ul>
<li>Participate in team meetings to stay updated on project progress and align with team goals.</li>
<li>Understand business requirements and convert them into effective data science solutions.</li>
<li>Collaborate with senior data scientists to understand the full data science life cycle from data collection and preprocessing to model development and deployment.</li>
<li>Maintain coding standards.</li>
<li>Assist team members with various tasks, contributing to the overall success of the projects.</li>
</ul>
What You Bring:
<ul>
<li>Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree at an accredited university, in Mathematics, Computer Science, Data Science, Statistics, or equivalent field. Eligible candidates must be rising juniors, seniors, or graduate students who intend to return to their academic program the following academic year.</li>
<li>Knowledge of Data Science, Machine Learning, and Artificial Intelligence.</li>
<li>Experience in Python.</li>
<li>Experience with databases and SQL.</li>
<li>Cloud experience preferred.</li>
<li>Prior internship experience preferred.</li>
</ul>
Total Rewards Package: At Bio-Rad, we&rsquo;re empowered by our purpose and recognize that our employees are as well. That&rsquo;s why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee&rsquo;s work and life cycle. 


Benefits: We&rsquo;re proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG&rsquo;s), and more! 


Compensation: The estimated hourly rate for this position is $25.00 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance. 


Who We Are: For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see. 

EEO Statement: Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply. 


Agency Non-Solicitation: Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes. 


Fraud Alert: Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake &quot;recruiters&quot; and job scams. Click here for more information on this scam and how to avoid it. #LI-JS1
</div>
<div>Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.</div></div>

Data Scientist, Intern

Tri-Valley Career Center

<div>
 We are looking for a hands-on
 
 Data Scientist Intern
 
 to join our team in Irvine, CA. You will be involved in the development of data science models for the clinical diagnostic business. Your duties will include understanding the business need, developing a data science solution, and writing production-ready code.
 
 
 
 Location:
 
 This position must be based in
 
 Irvine, California
 
 and requires the employee to be located within commuting distance of the office.
 
 
 
 How You'll Make An Impact
 
 
 
 <ul>
 <li>
 Participate in team meetings to stay updated on project progress and align with team goals.
 </li>
 <li>
 Understand business requirements and convert them into effective data science solutions.
 </li>
 <li>
 Collaborate with senior data scientists to understand the full data science life cycle from data collection and preprocessing to model development and deployment.
 </li>
 <li>
 Maintain coding standards.
 </li>
 <li>
 Assist team members with various tasks, contributing to the overall success of the projects.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree at an accredited university, in Mathematics, Computer Science, Data Science, Statistics, or equivalent field. Eligible candidates must be rising juniors, seniors, or graduate students who intend to return to their academic program the following academic year.
 </li>
 <li>
 A minimum cumulative GPA of 3.0 on a 4.0 scare is required.
 </li>
 <li>
 Knowledge of Data Science, Machine Learning, and Artificial Intelligence.
 </li>
 <li>
 Experience in Python.
 </li>
 <li>
 Experience with databases and SQL.
 </li>
 <li>
 Cloud experience preferred.
 </li>
 <li>
 Prior internship experience preferred.
 
 
 </li>
 </ul>
 
 Total Rewards Package:
 
 At Bio-Rad, we&rsquo;re empowered by our purpose and recognize that our employees are as well. That&rsquo;s why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee&rsquo;s work and life cycle.
 
 
 
 Benefits:
 
 We&rsquo;re proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG&rsquo;s), and more!
 
 
 
 Compensation:
 
 The estimated hourly rate for this position is $25.00 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance.
 
 
 
 Who We Are:
 
 For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see.
 
 
 
 EEO Statement:
 
 Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply.
 
 
 
 Agency Non-Solicitation:
 
 Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.
 
 
 
 Fraud Alert
 
 
 :
 
 Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake "recruiters" and job scams. Click here for more information on this scam and how to avoid it.
 
 
 Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.
 
 
</div>

Data Scientist Intern

Bio-Rad Laboratories

<div>
 We are looking for a hands-on
 
 Data Scientist Intern
 
 to join our team in Irvine, CA. You will be involved in the development of data science models for the clinical diagnostic business. Your duties will include understanding the business need, developing a data science solution, and writing production-ready code.
 
 
 
 Location:
 
 This position must be based in
 
 Irvine, California
 
 and requires the employee to be located within commuting distance of the office.
 
 
 
 How You'll Make An Impact
 
 
 
 <ul>
 <li>
 Participate in team meetings to stay updated on project progress and align with team goals.
 </li>
 <li>
 Understand business requirements and convert them into effective data science solutions.
 </li>
 <li>
 Collaborate with senior data scientists to understand the full data science life cycle from data collection and preprocessing to model development and deployment.
 </li>
 <li>
 Maintain coding standards.
 </li>
 <li>
 Assist team members with various tasks, contributing to the overall success of the projects.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree at an accredited university, in Mathematics, Computer Science, Data Science, Statistics, or equivalent field. Eligible candidates must be rising juniors, seniors, or graduate students who intend to return to their academic program the following academic year.
 </li>
 <li>
 Knowledge of Data Science, Machine Learning, and Artificial Intelligence.
 </li>
 <li>
 Experience in Python.
 </li>
 <li>
 Experience with databases and SQL.
 </li>
 <li>
 Cloud experience preferred.
 </li>
 <li>
 Prior internship experience preferred.
 
 
 </li>
 </ul>
 
 Total Rewards Package:
 
 At Bio-Rad, we&rsquo;re empowered by our purpose and recognize that our employees are as well. That&rsquo;s why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee&rsquo;s work and life cycle.
 
 
 
 Benefits:
 
 We&rsquo;re proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG&rsquo;s), and more!
 
 
 
 Compensation:
 
 The estimated hourly rate for this position is $25.00 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance.
 
 
 
 Who We Are:
 
 For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see.
 
 
 
 EEO Statement:
 
 Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply.
 
 
 
 Agency Non-Solicitation:
 
 Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.
 
 
 
 Fraud Alert
 
 
 :
 
 Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake "recruiters" and job scams. Click here for more information on this scam and how to avoid it.
 
 
 Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.
 
 
</div>

Explore 136+ Senior data scientist in Irvine this March. Find roles across top companies and apply now to boost your career.

136 senior data scientist jobs In Irvine

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Data Scientist, Intern