product scientist

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of experience with a Master's degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 
 
 </li>
 </ul>
 
 About the job
 
 The Search Data Science team's goal is to drive Search product excellence and growth with data insights. We perform analysis to help the Search organization make big investment decisions. We do research on topline and operational metrics for Search products to help them make data-driven decisions. We work closely with product teams end-to-end to help them build products that users love. This includes headroom analysis, product-market fit, experiment analysis, and helping leadership make trade-offs between engaging metrics (e.g., richness of experience versus search latency). We provide insights to drive responsible growth for Search; most importantly, long-term user value is what we care about the most.
 
 
 As a Data Scientist on the Google Apps team, you will help improve the user experience and drive growth for a product with over 100 million users. You will join a motivated and dedicated team, where your work will have a significant global impact. You will use user log analysis, experimentation, and data visualization to deliver more accurate information and ensure users can easily meet their needs. Ultimately, you will help make Google Apps the go-to source for relevant information, globally.
 
 
 The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work closely with cross-functional team members within Google's App Growth organization to define and execute strategies for acquiring and retaining users on both iOS and Android platforms.
 </li>
 <li>
 Provide quantitative support, market understanding, and a perspective to our partners throughout the organization.
 </li>
 <li>
 Work with large data sets and solve non-routine investigative issues, applying statistical methods to measure quality, improve consumer products, and understand end-user behavior.
 </li>
 <li>
 Make compelling business recommendations through effective presentations of findings to multiple levels of stakeholders and solid storytelling with data.
 </li>
 <li>
 Interact cross-functionally with a wide variety of teams, working closely with Product Manager and Engineering leads to identify growth and quality opportunities for the product.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Product Data Scientist, Search

Career Renew

<div>
 
 &hairsp;Career Renew is recruiting for one of its clients a Product Data Scientist - Crypto - this is a fully onsite role for London or New York based candidates. Salary range: 250-300K USD yearly.
 
 
 &nbsp;
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We're seeking an experienced, versatile Product Data Scientist who thrives in a fast-paced environment. In this role,&nbsp;
 
 
 you'll have the freedom to identify opportunities, design and implement solutions, and measure their impact
 
 
 across our product. You'll collaborate with cross-functional teams while maintaining ownership of your
 
 
 projects from conception to completion.
 
 
 
 
 &nbsp;
 
 
 
 
 
 What You'll Do
 
 
 
 
 <ul>
 
 <li>
 
 
 
 Design, run, and analyze A/B tests to optimize our consumer product experience
 
 
 
 </li>
 
 <li>
 
 
 
 Proactively identify problems and opportunities through data analysis
 
 
 
 </li>
 
 <li>
 
 
 
 Build and maintain dashboards to track key metrics and visualize insights
 
 
 
 </li>
 
 <li>
 
 
 
 Develop models to understand user behavior and predict outcomes
 
 
 
 </li>
 
 <li>
 
 
 
 Collaborate with product and engineering teams to implement data-driven solutions
 
 
 
 </li>
 
 <li>
 
 
 
 Drive projects independently from problem identification through solution implementation
 
 
 
 </li>
 
 <li>
 
 
 
 Communicate complex findings clearly to technical and non-technical stakeholders
 
 
 
 </li>
 
 <li>
 
 
 
 Help establish data best practices and methodologies
 
 
 
 
 &nbsp;
 
 
 </li>
 
 </ul>
 
 
 
 
 Requirements
 
 
 
 
 <ul>
 
 <li>
 
 
 
 2-3 years of data science experience at a startup, scale-up, or FAANG/equivalent company
 
 
 
 </li>
 
 <li>
 
 
 
 Proficiency with Python/R and SQL/BigQuery
 
 
 
 </li>
 
 <li>
 
 
 
 Strong experience designing, running, and analyzing A/B tests on consumer products
 
 
 
 </li>
 
 <li>
 
 
 
 Demonstrated ability to work autonomously, managing entire projects from ideation to implementation
 
 
 
 </li>
 
 <li>
 
 
 
 Experience translating data insights into actionable recommendations
 
 
 
 </li>
 
 <li>
 
 
 
 Excellent communication skills, with the ability to present complex findings clearly
 
 
 
 </li>
 
 </ul>
 
 
 &nbsp;
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 
 <li>
 
 
 
 Experience with cryptocurrency and blockchain data
 
 
 
 </li>
 
 <li>
 
 
 
 Strong data visualization skills (especially with Grafana)
 
 
 
 </li>
 
 <li>
 
 
 
 Experience working with event tracking data (especially FullStory)
 
 
 
 </li>
 
 <li>
 
 
 
 Advanced knowledge of statistical methods and causal inference
 
 
 
 </li>
 
 <li>
 
 
 
 Experience building and maintaining data pipelines (especially with Dataform)
 
 
 
 </li>
 
 <li>
 
 
 
 Familiarity with Machine Learning methods and applications
 
 
 
 </li>
 
 <li>
 
 
 
 Experience in consumer tech products or fintech
 
 
 
 </li>
 
 </ul>
 
 
 &nbsp;
 
 
 
 
 
 What We're Looking For
 
 
 
 
 
 
 We value generalists over specialists. The ideal candidate has breadth across the data science field rather
 
 
 than deep expertise in just one area. You should be proactive, self-motivated, and comfortable taking initiative
 
 
 to find problems worth solving. You'll thrive in our environment if you enjoy autonomy and are excited about
 
 
 having end-to-end ownership of your work.
 
 
 
 
 &nbsp;
 
 
 
 
 
 Benefits
 
 
 
 
 <ul>
 
 <li>
 
 
 
 Competitive salary and equity package
 
 
 
 </li>
 
 <li>
 
 
 
 Flexible work arrangements
 
 
 
 </li>
 
 <li>
 
 
 
 Comprehensive health benefits
 
 
 
 </li>
 
 <li>
 
 
 
 Professional development budget
 
 
 
 </li>
 
 <li>
 
 
 
 Collaborative, fast-paced environment
 
 
 
 </li>
 
 <li>
 
 
 
 Opportunity to shape the future of [industry/product]
 
 
 
 </li>
 
 <li>
 
 
 
 We're building a diverse team and encourage applications from candidates of all backgrounds
 
 
 
 </li>
 
 </ul>
 
 
 
 
 
 Compensation &amp; Package
 
 
 
 
 
 Base Salary + Equity/Tokens
 
 
</div>

Product Data Scientist - Crypto

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL), or 2 years of experience with a Master's degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 Experience working with consumer-facing products.
 </li>
 <li>
 Experience working with 0 to 1 products.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Are you interested in launching impactful features on Search to deliver answers to users across the globe, while also redefining how the world discovers information by leveraging AI to build 0&rarr;1 products? Our mission is to bring new users to vertical experiences and help existing users get the most out of the existing verticals. Our mandate is to accelerate products that have product market fit, identify common patterns and opportunities, and scale impact to all verticals as quickly as possible. A fast-moving team who is obsessed with learning and landing real impact quickly.
 
 
 As a Search Verticals Data Scientist, you will develop advanced statistical and other analytical methods to identify growth opportunities, such as emerging user needs, user and lifecycle segmentation, conversion, churn and win-back prediction, targeting, uplift modeling, value estimation. You will autonomously drive projects from start to finish, solve complex business problems, and communicate solutions effectively. By interacting cross-functionally and influencing executive leadership, you will advocate for users and focus on sustainable, long-term growth. This role involves understanding a wide range of search products, from GenAI to simple UI optimization, and using logs, surveys, and human-eval driven methods to design and validate solutions.
 
 
 The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research and develop advanced analysis, forecasting, experimentation, ML and optimization methods to identify growth opportunities (e.g., forecasting at scale, user segmentation, user cohort or causal inference modeling, and churn prediction).
 </li>
 <li>
 Initiate projects inside and across the organization and drive to completion autonomously.
 </li>
 <li>
 Frame and solve ambiguous business problems and communicate the solutions effectively.
 </li>
 <li>
 Interact cross-functionally, be a thought partner and influence a wide range of product stakeholders.
 </li>
 <li>
 Communicate clearly and persuasively and to influence executive product leadership.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Product Data Scientist, Search Verticals and Translate

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 San Francisco, CA, USA; Mountain View, CA, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years work experience with a Master's degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Photos+G1's mission is to be the home for your life&rsquo;s content, safely stored and deeply understood, so your personal AI can help you grow, all through a unified Google membership.
 
 
 In this role, you will empower this organizational mission and work closely with Data Engineering, Data Science, and Product Operations and Strategy (Product Operations/Strategy) towards our team's mission to "Understand our Users to drive product change." The tight-knit collaboration between our complementary technical skills and skillsets is our superpower and allows us to set and accomplish an exciting agenda spanning analytical tools, insights, and product strategies.
 
 
 The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner closely with Finance, User Experience (UX), Product Management (PM), and Engineering to deliver analytics and experimentation (e.g., analytics/experimentation) infrastructure and processes that empower the team to deliver insights and decision-making at scale.
 </li>
 <li>
 Identify business problems where a data science approach is appropriate.
 </li>
 <li>
 Foster a culture of continuous learning within the broader team. Proactively identify and advocate new data sources, tools, and methodologies to enhance our analytical capabilities and drive innovation.
 </li>
 <li>
 Serve as a key conduit of understanding the relationship between Cross-Product Area (XPA) teams, and when necessary, elucidate and quantify tradeoffs between competing goals.
 </li>
 <li>
 Bring structure to the problem, apply the right problem-solving solutions, and recommend actions that improve our user experience, product, and business.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Product Data Scientist, G1 and Photos

Waymo

<div>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES
FULL-TIME
PRODUCT
4657</div>
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</div><div><div>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</div>
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company &mdash; from driving quality and operational efficiency to market analysis and rider satisfaction scores &mdash; we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.

This role follows a hybrid work schedule and you will report to the Manager of Product Data Science. 


You will:
<ul>
<li>Develop a deep understanding of how users experience and interact with Waymo as they ride, leveraging qualitative feedback to develop quantitative methods for understanding and improving features</li>
<li>Run experimentation to measure the effectiveness of in-car features on things like user feedback &amp; retention</li>
<li>Identify gaps for potential improvements &amp; new product features</li>
<li>Collaborate with Eng to develop robust data foundations for measuring new feature performance</li>
<li>Collaborate with Product &amp; Eng on the development of future Waymo platforms &amp; vehicles</li>
</ul>
You have:
<ul>
<li>Coding skills (Python &amp; SQL)</li>
<li>Experience with A/B testing &amp; Product Development</li>
<li>At least 3 years of industry experience</li>
<li>Strong Communication and Stakeholder &amp; Management skills</li>
<li>Intuition for when to be scrappy and when to be vigorous</li>
</ul>
We prefer:
<ul>
<li>Experience with physical product development</li>
<li>SF Bay Area based (you&rsquo;ll need to spend a lot of time riding Waymos)</li>
</ul><div><div>
<div>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</div>
<div>Salary Range</div>
<div>$196,000&mdash;$248,000 USD</div></div></div></div></div></div></div>

Senior Product Data Scientist, In Car Experience

Bristol Myers Squibb

<div>Working with Us 
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. 
 
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . 
 
Position Summary
 
 
The Process Characterization Lab Scientist is a highly impactful and hands-on position within our global Parenteral Manufacturing Science &amp; Technology organization, located in New Brunswick, NJ. The incumbent conducts product and process characterization studies; collaborates with research and development in drug product process development of sterile parenteral/biologics drug product and works with manufacturing sites to characterize, troubleshoot or optimize processes for late-stage to commercial and lifecycle products. The role touches many aspects of parenteral manufacturing including sterile filtration, formulation development/characterization, lyophilization, product compatibility and more. This gives the scientist the opportunity to contribute true scientific outcomes; enabling data driven decisions and scientifically sound manufacturing processes. This position is accountable for the design and execution of process characterization experiments to ensure design and transfer of robust manufacturing processes for new products and key life cycle management products, development of new technology for optimization and continuous improvement in manufacturing operations and providing specialized expertise, as necessary, to complement site capabilities for critical investigations or process improvements. 
 
Key Responsibilities
<ul><li>Design and execution of robust experiments to support lifecycle management activities of commercial parenteral products including: process improvements, deviation investigation and technology transfer</li><li>
Responsible for characterizing, optimizing and troubleshooting product and manufacturing processes of parenteral dosage forms</li><li>
Partner with Drug Product Development, Parenteral Launch and Sterile Capabilities, Process Engineering, manufacturing sites and Analytical colleagues in design and execution of experiments</li><li>
Apply scientific and/or technical skills and functional knowledge to complete laboratory work and data analysis/interpretation</li><li>
Drive scientific innovation and new approaches in the lab, through research in literature, internal/external forums and/or trainings</li><li>
Maintain complete and accurate laboratory notebook and protocol/report documentation by following applicable SOP and Policy requirements</li><li>
Effectively represent the Process Characterization Lab in various internal and external teams to present experimental plans, review results and provide technical recommendations</li><li>
Lead laboratory maintenance through tracking instrument calibration, maintaining stock of supplies, general lab cleanliness and organization</li><li>
Lead lab safety initiatives, inspections and training</li><li>
Support mentorship of others within group/team; train others on procedures</li></ul>
Qualifications &amp; Experience
 
 
Education/Experience/ Licenses/Certifications:
<ul><li>Bachelor's degree with 5-7 years of relevant experience. Master and Ph.D. is preferred but not required. Time spent in advanced degree program may consider as equivalent experience.</li></ul>
Required:
<ul><li>Thorough hands-on experience in the laboratory and a broad understanding of sterile product (particularly biologics) formulation development, analytical methods commercial manufacturing unit operations</li><li>
Proficient in critical thinking, clear &amp; concise technical writing (specifically in scientific study plans and reports) and verbal communication</li><li>
Ability to design and execute scientifically sound, hypothesis driven experiments</li></ul>
Demonstrated ability to:<ul><li>
Troubleshoot, interpret and discuss data with strong scientific arguments, draw appropriate conclusions and identify logical next steps</li><li>
Work independently under minimal supervision for most tasks</li><li>
Participate in troubleshooting of routine problems and initiatives related to continuous improvement and development of new approaches/technologies</li><li>
Lead activities with other team members to achieve results</li><li>
Communicate effectively with manager and cross-functional teams/stakeholders</li><li>
Make presentations in multidisciplinary meetings, logically present information to convey clear messages</li></ul>
Desired:
<ul><li>Working competency of Statistical Process Control and related tools (JMP/MiniTab/SAS)</li><li>
Familiar knowledge of quality systems, Quality by Design, validation principles for product and engineering design and process control fundamentals</li></ul>
Travel:
<ul><li>This position requires up to 10% of travel (occasional, as required)
</li></ul>If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
 
 
Compensation Overview: 
 
New Brunswick - NJ - US: $91,900 - $111,364 
 
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
 
 
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
 
 
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
<ul><li>Health Coverage: Medical, pharmacy, dental, and vision care.</li><li>
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
</li><li>Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
</li></ul>Work-life benefits include:
 
 
Paid Time Off
<ul><li>US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
</li><li>Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
</li></ul>Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
 
 
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. 
 
<ul><li>Eligibility Disclosure: T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
</li></ul> 
Uniquely Interesting Work, Life-changing Careers 
With a single vision as inspiring as Transforming patients' lives through science&trade; , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. 
 
On-site Protocol 
 
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
 
 
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
 
 
Supporting People with Disabilities 
 
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
 
 
Candidate Rights 
 
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
 
 
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
 
 
Data Protection 
 
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection . 
 
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. 
 
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
 
 
R1600106 : Scientist, MS&amp;T Process Characterization Lab</div>

Scientist, MS&T Process Characterization Lab

Search 10000+ Product scientist jobs near you this March. New roles added regularly across leading industries. Apply today.

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Scientist, MS&T Process Characterization Lab