lead scientist

Intercontinental Exchange

<div>Overview:

Job Purpose
We are looking for individuals with a strong background in statistical modelling and financial engineering to join our research and rapid prototyping team at Intercontinental Exchange. We require candidates to have experience building, enhancing or supporting the pricing of fixed income securities with a strong interest in leveraging AI driven tooling on the job. This role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists leveraging state-of-the-art tools tasked with improving precision and scale across millions of bonds. You will also be asked to research new techniques enabled by the usage of AI to scale our business. The role will require individuals to work with significantly large data sets spanning years of historical data. 
Responsibilities<ul><li>
Learn, research, implement and maintain pricing models across fixed income asset classes</li><li>
Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources</li><li>
Investigating Ad hoc issues and debugging pricing applications</li></ul> 
Knowledge and Experience<ul><li>
Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred</li><li>
3+ years of experience doing quantitative analysis</li><li>
Hands on experience utilizing Python, C++, SQL, Shell Scripting, R</li><li>
Experience using AI &amp; ML techniques to solve complex multi-dimensional problems preferred</li><li>
An understanding of fixed income instruments</li><li>
Strong communications skills</li></ul><div> 
New York Base Salary Range</div><div>
The expected base salary for this role, if located in New York, is between $130,000 - 190,000 USD. The base salary range does not include Intercontinental Exchange&rsquo;s incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.</div>
-: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.</div>

Lead Data Scientist

Starbucks

<div>Now Brewing &ndash; Lead Data Scientist! #tobeapartner 
 
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Lead Data Scientist on the Pricing Data Science team, you will lead the development of advanced pricing models and optimization algorithms that shape pricing decisions across US and Canada company-owned stores. You will drive the evolution of the pricing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact pricing, and customer experience at scale.
As a lead data scientist, you will&hellip; 
Design and Architect the Future Pricing Ecosystem<ul><li>
Build a scalable, data-driven pricing framework that optimizes revenue.</li><li>
Incorporate predictive modeling, and ad hoc analyses into pricing framework. 
Drive Pricing and Revenue management data science</li><li>
Identify pricing and promotion potential through advanced analytics.</li><li>
Implement optimization strategies leveraging machine learning, simulation, and scenario planning.</li><li>
Partner with strategy and finance to align pricing tools with business goals. 
Mentor and Develop Talent</li><li>
Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.</li><li>
Foster a culture of innovation and continuous improvement within the analytics team.</li></ul> 


We&rsquo;d love to hear from people with:<ul><li>
5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li>
Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.</li><li>
Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.</li><li>
Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.</li><li>
Experience building in-house production systems in complex and data-rich domains.</li><li>
Mentoring experience</li></ul> 
Preferred Skills:<ul><li>
Expertise in building Bayesian elasticity models and causal inference</li><li>
Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support</li><li>
Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments</li></ul><div> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com. 
<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul></div>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week. 
Join us and inspire with every cup. Apply today! 
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. 
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. 
 
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.</div>

lead data scientist- Pricing, Data & Analytics (Seattle, WA)

SportsBiz Group Inc

Lead AI &amp; Computer Vision Scientist<ul><li>Role: Lead AI &amp; Computer Vision Scientist</li><li>Location: 100% Remote (US / Canada/Europe/South America)</li><li>Current Company Valuation: $30M</li><li>Compensation Model: Day-1 Equity + Post-Funding Salary</li></ul>The OpportunityAre you a visionary interactive developer who thrives at the intersection of cutting-edge AI-native technology and early-stage startup grit?SportsBiz (SportsBiz.com) is disrupting the $100B sports sponsorship industry. Having already established a leadership foothold with our proprietary AI analytics platform, DeepSport Solutions, we are now expanding our ecosystem. We are seeking an elite AI expert to CV-based products from concept to production &mdash; not just research prototypes.architect and scale our from the ground up.This is not a corporate cog-in-the-wheel role. You will act as a player-coach, building and working on a team data scientists, establishing the technical blueprint, and directly shaping the future of sports sponsorship technology. Must have strong team leadership experience. Our clients span both major corporate sponsors (brands) and sports properties (teams, leagues, and events).The Reality of Early-Stage Building (Our Culture)Transparency is our baseline. We are a lean, high-octane team of 20+ co-founders and executives hailing from Fortune 500s and top-tier boutique firms.<ul><li>Current Company Valuation: $30M</li><li>The Phase: We are currently preparing to close our $5M second-round capital raise, which is anticipated by the end of Q3.</li><li>The Compensation: In alignment with our leadership team, this role operates on an equity (stock only) model prior to funding. You will receive meaningful equity ownership from day one, alongside routine cash stipends.</li><li>The Full-Time Transition: Upon the successful completion of our present $5M fundraise, you will transition immediately to a highly competitive, full-time base salary and performance bonuses. Base Salary: $120,000.</li></ul>If you are energized by the high-upside equity phase of a startup and want true, structural ownership of a product, this is your sandbox.What You'll Own<ul><li>Own the video processing pipelines. Be the directly responsible individual for the pipelines that detect broadcast exposure and assess its value &mdash; their technical roadmap, quality, and delivery, from research through production.</li><li>Scale to league level. Architect and deliver the systems that take these pipelines from single venues and teams to processing all games across major leagues (NFL, NHL, MLB) and major college football conferences, with the throughput, reliability, and cost profile that scale demands.</li><li>Own the computer-vision core. Lead detection and identification of sponsorship signage and branded assets in video. Continuously evaluate and prototype alternative approaches &mdash; models, architectures, tooling, and vendors &mdash; to keep the pipeline at the frontier of a rapidly advancing field.</li><li>Own the full valuation workflow. Take a system-level view of the entire pipeline: tracking signage into impressions, scoring those impressions, and translating them into a defensible dollar value of brand exposure. Ensure each stage is measurable, explainable, and defensible to clients.</li><li>Engineering rigor. Drive strong software practices across the team &mdash; clean, tested, maintainable Python; a disciplined SDLC; and robust CI/CD, so research reliably becomes production.</li><li>Lead and grow the team. Manage, mentor, and hire data scientists and ML engineers. Set technical standards, run reviews, and develop the people around you.</li><li>Cross-functional partnership. Work with product and commercial teams to translate client needs into technical requirements, and communicate methodology and results to non-technical stakeholders with credibility.</li></ul>What We're Looking For<ul><li>Delivered a computer-vision product. Proven experience taking a CV-based product from concept to production &mdash; not just research prototypes.</li><li>CV models on AWS. Hands-on experience developing and deploying computer-vision models on AWS infrastructure, such as SageMaker.</li><li>System-level thinker. Able to own a multi-stage workflow end to end &mdash; detection, tracking, scoring, and valuation &mdash; and reason about how choices in one stage affect the whole.</li><li>Deep Python and software-engineering depth. You are a strong software developer, not only a modeler. Fluent in Python with real command of the SDLC and CI/CD.</li><li>Scale experience. Track record building or operating data/ML systems that handle high volume reliably and cost-effectively.</li><li>Leadership. Experience leading and mentoring technical talent; comfortable owning outcomes and setting direction.</li><li>Stays current. Actively tracks the evolving CV and ML ecosystem and has a habit of evaluating and adopting better approaches.</li><li>Communication. Explains technical methodology and results clearly to both engineers and business stakeholders.</li></ul>Nice to Have<ul><li>AWS-based workflows. Experience implementing production data or ML workflows on AWS.</li><li>AI-forward practitioner. Hands-on adopter of AI in your own workflow &mdash; you use coding agents and AI-assisted development day to day.</li><li>AI-driven workflows. Experience designing or building AI-driven pipelines and automation.</li><li>Sports / media domain. Familiarity with sports broadcast, sponsorship measurement, or media valuation.</li><li>Video at scale. Experience with video ingestion, streaming, or large-scale media processing infrastructure.</li></ul>What Success Looks LikeWithin your first year, the video processing pipelines reliably run at league scale, the computer-vision core is measurably more accurate and more current than it is today, and the impression-to-dollar valuation is trusted by clients and defensible under scrutiny &mdash; backed by a strong team and engineering practices you&rsquo;ve helped build.SportsBiz is an equal opportunity employer. We welcome applicants from all backgrounds.Minimum Qualifications<ul><li>Experience: 8+ years of professional experience, with a minimum of 4-5+ years dedicated specifically to Computer Vision and alogorythmic modeling.</li><li>Technical Mastery: Flawless skills and a bulletproof understanding of rendering algorithms and data structures.</li><li>Leadership Toolkit: Proven history of leading engineering teams, managing agile pipelines, and mentoring junior/mid-level talent.</li><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, or equivalent practical field.</li><li>Portfolio: A stellar portfolio demonstrating complex, production-ready work in AI engineering and computer vision.</li></ul>Nice-to-Haves<ul><li>A genuine passion for sports analytics, gaming, or data-driven visual experiences.</li><li>Experience integrating AI-assisted development tools (like Cursor or Claude Code) into your production workflows.</li></ul>Perks &amp; Benefits<ul><li>Founding Equity: Meaningful ownership (Employee Stock Ownership Plan) in a high-valuation startup.</li><li>Immediate Cash Stipends: Ongoing routine stipends provided prior to our major funding round.</li><li>100% Remote &amp; Flexible: Work from home with a schedule optimized for async, high-output productivity.</li><li>Uncapped Trajectory: As a foundational engineering leader, your career growth scales directly with the company's valuation.</li></ul>Pay: $110,000.00 - $130,000.00 per yearBenefits:<ul><li>Paid time off</li><li>Stock options</li></ul>Experience:<ul><li>Unreal Engine: 5 years (Required)</li></ul>Work Location: Remote

Lead AI & Computer Vision Scientist

TANGENTTECH

We have an immediate opening for a Senior Data Scientist with one of our clients. If your candidate's experience aligns with the requirements below, please reply with your updated resume, contact number, and a convenient time to discuss the opportunity.Role: Senior Data ScientistDuration: 12+ months Location: Remote role EST hoursVisa: GC/USC is preferred but H1B works too.Role Type: Individual Contributor (Business‑Facing)Job OverviewWe are seeking a seasoned Senior Data Scientist for an urgent contract to support critical GTM, Marketing, and Customer Success initiatives. This is not a product engineering role. It is a business‑facing, analytics‑driven position focused on developing, enhancing, and operationalizing lead scoring and propensity‑to‑buy models that directly influence revenue‑generating teams. The ideal candidate combines strong machine‑learning expertise with exceptional business communication skills and can operate independently in a fast‑paced, cross‑functional environmentKey Responsibilities:<ul><li>Partner closely with GTM, Marketing, and Customer Success teams to understand business goals and translate them into actionable data science solutions</li><li>Build, refine, and operationalize lead scoring, propensity‑to‑buy, and other commercial ML models using Salesforce data, third‑party data providers, and enterprise data sources</li><li>Maintain and enhance existing ML models to ensure continuity, stability, and improved performance</li><li>Create clear business and technical artifacts, including</li></ul>&Oslash; Data flows&Oslash; Customer archetypes&Oslash; Model outputs&Oslash; Analytical insights and recommendations<ul><li>Communicate model results and data‑driven insights in simple, non‑technical language tailored for business audiences</li><li>Collaborate with external data vendors to evaluate, integrate, and manage third‑party datasets</li><li>Work independently to quickly understand existing pipelines, ramp up fast, and contribute immediately</li></ul>Required Skills &amp; Experiencs<ul><li>Strong business communication skills &mdash; able to engage independently with GTM, Marketing, Customer Success, data vendors, and cross‑functional teams.</li><li>Nice to have is experience building propensity‑to‑buy, lead scoring, conversion likelihood, or similar commercial ML models.</li><li>Hands‑on experience with Snowflake Cortex ML or similar ML platforms.</li><li>Advanced proficiency in SQL, Python, and Jupyter Notebooks.</li><li>Experience operationalizing models using Salesforce and enterprise data sources.</li><li>Ability to quickly understand existing models and enhance them without disrupting production workflows.</li><li>Demonstrated ability to produce clear business‑facing documentation and technical artifacts</li><li>Comfortable working in a large‑scale, cross‑functional environment with multiple stakeholders.</li></ul>Ideal CandidateA senior, business‑savvy data scientist who thrives at the intersection of analytics, machine learning, and GTM strategy. Someone who can communicate clearly, operate independently, and deliver immediate value by supporting revenue‑driving teams with actionable, data‑driven insightsIf this opportunity interests you, please send your updated resume along with your contact details at Sales@TangentTechs.com with cc To Skills.eHub@gmail.com .Pay: $80.00 - $85.00 per hourWork Location: Remote

Senior Data Scientist

Three Dimension Physical Performance

<div><div>Job Summary:</div><div>
We are currently hiring a highly skilled and experienced Sport Scientist &amp; Data Analyst to join our dynamic team at 3Dimensions. If you're passionate about optimizing athletic performance through science and data, we want to hear from you! 
 
Key Responsibilities:</div><ul><li>
He will oversee and optimize fitness programs and lead the integration of scientific principles into training protocols.</li><li>
Supervise a team of trainers and provide strategic insights to enhance overall fitness outcomes.</li></ul><div> 

Requirements:</div><ul><li>
Education: Bachelor's in Sports Science, Exercise Physiology, or a related field. MSC preferred.</li><li>
Certification: Certified as a sport scientist and trainer in the candidate's home country, with additional certifications in data analysis preferred.</li><li>
Minimum 2-4 years of experience in a fitness or sports training environment, with significant experience in a senior or supervisory role.</li></ul></div><div></div>

Sports Scientist and Data Analyst

International Center for Biosaline Agriculture (ICBA)

<div>
 
 
 Job Summary
 
 
 
 ICBA is looking for a dynamic and results oriented Scientist &ndash; Integrated crop livestock systems , who will be a member of the Crop Diversification and Genetics (CDG) section and a team member of the Directorate of Program, leading integrated crop, forage, livestock and farming systems related research and development activities and projects across the directorate's two sections, CDG and Sustainable Natural Resources Management (SNRM).
 
 
 His/her major role will be to attract research support through external funding by developing attractive project proposals and liaising with donors to secure potential financial support. The farming systems scientist will conduct applied research to select conventional and alternative food and feed crops adapted to environments with excessive salt, heat, and drought stress to support integrated crop -livestock production systems, feed systems and range land management, and will help external projects as required. The systems scientist will participate in developing technology packages, including the best crop &ndash; forage management systems and operations that optimize nutrient use in arid and arid-saline soils and saline water resources. The incumbent will lead ICBA at various forums as needed to represent the center at national and international levels.
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Strategic planning, designing and implementing advanced integrated crop -livestock, forage and range land farming systems strategies focused on optimizing crop, forage and livestock productivity in arid, saline, and stress-prone areas within the mandate of ICBA.
 </li>
 <li>
 Identify funding opportunities and lead the preparation of projects and proposals for submission including preparing the technical and financial components as well as identifying and liaising with potential national, regional and international partners.
 </li>
 <li>
 Leading systems research initiatives, conducting field and feed trials, and analyzing data to evaluate new food and fodder crop varieties and optimize crop- livestock interactions, and agronomic practices.
 </li>
 <li>
 Lead research on fodder and rangeland crops in arid and saline environments to support the livestock feed systems, climate resilient livestock production.
 </li>
 <li>
 Develop strategic partnerships with national, regional, and international organizations working on food, fodder and livestock systems
 </li>
 <li>
 Utilizing precision agriculture technologies and statistical methods to analyze field data, interpret results, and provide actionable insights and reports to program leaders, the Chief Scientist, and the management.
 </li>
 <li>
 Training, mentoring, and supporting junior field staff, students, and interns, fostering a culture of continuous improvement and knowledge sharing.
 </li>
 <li>
 Collaborating with cross-functional teams, farmers, and industry partners to translate research findings into practical applications and ensure compliance with environmental and safety standards.
 </li>
 <li>
 Interact and associate with other research programs for multidisciplinary research activities and participate as a team player in developing technical reports, extension materials, and publications in refereed journals.
 </li>
 <li>
 Assess the productivity, profitability, sustainability and environmental impacts of integrated crop-livestock systems using appropriate biophysical and socioeconomic indicators.
 </li>
 <li>
 Participate as needed and contribute to training programs, conferences, forums, media, ICBA publications and other appropriate fora as and when required to present ICBA innovations and increase its visibility.
 </li>
 <li>
 Perform other tasks assigned by the supervisor and management as per the requirements.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Experience
 
 
 
 
 Essential:
 
 
 <ul>
 <li>
 PhD in Agronomy, Agricultural Systems, Forage agronomy subject from a recognized University
 </li>
 <li>
 At least 5 years of post-PhD international work experience in integrated crop-livestock systems, cropping and farming systems, or related research Proven publication record in refereed journals
 </li>
 <li>
 Proven ability to initiate, conduct, and publish research and to obtain external grant funding
 </li>
 <li>
 Team player to work in a multi-cultural environment
 </li>
 <li>
 Fluency in written and spoken English, and well-developed presentation, negotiation and public speaking skills.
 </li>
 <li>
 Experience in statistics and database management
 </li>
 </ul>
 
 
 
 
 
 Desirable:
 
 
 <ul>
 <li>
 Experience in crop, forage and farming systems modeling
 </li>
 <li>
 Experience on fodder, rangeland cropping and livestock feed system in water scarce environments
 </li>
 <li>
 Additional language skills like Arabic are highly desirable
 </li>
 <li>
 Experience in resource mobilization, project management or development projects.
 </li>
 <li>
 Experience working with national agricultural research systems or development agencies.
 </li>
 </ul>
 
 
 
</div>

Scientist – Integrated Crop and Livestock Systems

Applied Research Associates, Inc

<div>ARA&rsquo;s IntraRisk Group is seeking a senior scientist to work with a multidisciplinary team to develop and implement engineering computer models for high wind hazards, structural response, and loss estimation. The successful candidate for this position will have a strong background in hurricane, flood, and/or tornado modeling and interest in using such models for insured loss estimation.
The IntraRisk Group is based in Raleigh, NC. Remote work may be considered for the right candidate.
What you will do as a senior scientist:
<ul><li>Develop and use engineering computer codes such as wind/storm surge/wave hazard models and engineering fragility models for wind loading effects.</li>
<li>Process and interpret property insurance exposure data for input to HurLoss, ARA&rsquo;s hurricane catastrophe loss model.</li>
<li>Work with end users to understand how HurLoss can be used to support their catastrophe modeling needs.</li>
<li>Apply probability and statistics in engineering.</li>
<li>Lead multiple projects and interact with current and prospective clients.</li>
<li>Lead marketing/business development activities in one or more client areas.</li>
<li>Document work and write technical reports.</li>
</ul>Senior scientist required skills:
<ul><li>Comprehensive understanding and use of building codes/analysis methods.</li>
<li>Strong problem-solving, oral, and written communication skills.</li>
<li>Ability to clearly communicate with collaborators and ask for assistance when needed.</li>
<li>Attention to detail and desire to learn from mentors.</li>
<li>Strong self-starter with the ability to pick up new technologies quickly.</li>
<li>Strong technical writing skills.</li>
<li>Agility, poise, focus, and communication skills are a must.</li>
</ul>Senior scientist position requirements:
<ul><li>Bachelor&rsquo;s degree or higher in Civil/Structural Engineering, Atmospheric Science, Meteorology, or related field. Advanced degree preferred.</li>
<li>At least 8 years of relevant experience, including at least 2 years of experience in catastrophe modeling and property insurance risk modeling. Advanced degree may be considered in partial fulfillment of the experience requirement.</li>
<li>At least one course in computer programming and relevant experience in developing computer codes (e.g., FORTRAN, C, C++, and/or Python) for natural hazard risk assessment.</li>
<li>Candidates selected may be subject to a government security investigation and must meet the eligibility requirements for access to classified information.</li>
</ul>About us:
ARA is an employee-owned scientific and engineering company founded in Albuquerque, NM in 1979. ARA is known for providing technically superior solutions to complex and challenging problems in the physical sciences. We employ over 2,200 professionals and continue to grow. ARA offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software, and simulation, systems analysis, environmental technologies, and testing and measurement.
The IntraRisk Group is an internationally recognized leader in the modeling and simulation of extreme natural events such as hurricanes, tornadoes, straight winds, and storm surge. We provide high wind risk assessment services for government agencies as well as the property insurance, nuclear power, offshore energy, and engineering design industries. To find out more about the IntraRisk Group, visit our website at: Natural Disaster Risk Assessment &amp; Consulting - ARA.
Our culture supports career advancement and rewards innovation, self-motivation, and technical excellence. We offer a highly competitive compensation and benefits package, including employee stock ownership, performance bonuses, and professional development.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</div>

Senior Scientist

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