decision scientist

BigBear.ai

<div>Overview:
<div>
BigBear.ai is seeking a Senior Decision Scientist to support one of our Intelligence clients' Object Based Intelligence mission. This position will be onsite in Washington DC or Reston, VA with potential travel for onsite customer training.</div><div></div><div><br>
BigBear.ai helps people make sense of their data using our cloud-based platform and big data processing algorithms. Each day, we crunch massive volumes of structured and unstructured data into usable and actionable information for our customers. This is an ideal opportunity to be part of one of the fastest growing AI/ML companies in the industry.</div><div></div><div><br>
At BigBear.ai we're in this business together. We own it, we make it thrive, and we enjoy the challenges of our work. We know that our employees play the largest role in our continual success. That is why we foster an environment of growth and development, with an emphasis on opportunity, recognition, and work-life balance. We give the same high level of commitment to our employees that we give to our clients. If BigBear.ai sounds like the place where you want to be, we'd enjoy speaking with you.</div>
What you will do:
<ul><li>Understand and improve the judgment and decision making of individuals, groups, and organizations.</li><li>
Apply principles of psychology to business, analytic and other decision-making processes to improve and / or empirically evaluate<br>
those processes.</li><li>
Activities may include assisting in policy planning; workflow procedures testing and evaluation, analytic workflow redesign, training and development.</li><li>
May work with management to prescribe workflow modifications that<br>
improve worker productivity and analytic judgment.</li></ul>
What you need to have:
<ul><li>Bachelor&rsquo;s degree</li><li>
Active Top Secret/SCI clearance</li><li>
12 years of experience as a decision scientist, analytic methodologist, business analyst, or data scientist.</li></ul>
What we'd like you to have:
<ul><li>Master&rsquo;s degree in a directly related field</li><li>
6+ years of experience supporting the Department of War, or Intelligence Community as a decision scientist, analytic methodologist, business analyst, or data scientist.</li></ul>
About BigBear.ai:
<div>
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai&rsquo;s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.</div><div></div><div><br>
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.</div></div><div></div>

Senior Decision Scientist

Best Buy

<div><p>As the Senior Decision Scientist &ndash; Fulfillment Analytics, you will lead the design of analytical solutions that solve meaningful fulfillment problems and ensure our models translate into real-world impact. You&rsquo;ll scope ambiguous business questions, validate technical approaches, and partner with data scientists and software engineers to deliver integrated solutions. Successful candidates bring clear problem framing and scoping skills, practical technical awareness, and the ability to guide cross-functional teams toward clear, data-informed decisions. This role is ideal for someone who enjoys turning complex operational challenges into durable analytical solutions.</p><p>
This role is hybrid, which means you will work some days at our corporate office in Richfield, Minnesota, and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.
</p><p><b>What you&rsquo;ll do</b></p><ul><li>
Lead scoping conversations to define clear analytical problems and solution approaches in the order fulfillment domain.</li><li>
Validate assumptions, interpret model outputs, and ensure analytical solutions are practical and durable.</li><li>
Use a programming language to prototype, explore data, and collaborate effectively with technical partners.</li><li>
Partner with product, software engineering, and business teams to align solutions to operational priorities.</li><li>
Partner with data platform teams to identify the right data assets (base, modeled, or semantic) that support our ongoing data modernization and cloud-first analytical work.</li><li>
Provide leadership and mentorship across the team to elevate analytical rigor and decision quality</li></ul><b>
Basic qualifications</b><ul><li>
Bachelor&rsquo;s degree in a quantitative field or equivalent experience.</li><li>
4 or more years of experience leveraging data to solve business problems and communicate insights through executive-ready presentations and dashboards.</li><li>
2 or more years of experience applying SQL, Python, R or a similar tool and using visualization tools (e.g., Power BI, Looker, Tableau).</li><li>
Demonstrated ability to lead cross-functional conversations and frame analytical solutions.</li><li>
2 or more years of experience applying foundational statistics (e.g., regression, hypothesis testing) to business questions.</li></ul><p><b>
Preferred qualifications</b></p><ul><li>
Experience in supply chain, fulfillment, logistics, or related business domains.</li><li>
Familiarity with statistical modeling, forecasting, optimization concepts, or econometric techniques used in analytical problem solving.</li><li>
Experience organizing analytical roadmaps or requirements for technical teams.</li><li>
Experience guiding and mentoring other decision and data scientists.</li><li>
Working knowledge of modern data platform concepts (e.g., data lakes, curated base assets, data models, and semantic layers) and how to select the right asset for analytical use.</li></ul><p><b>
What&rsquo;s in it for you</b><br>
We&rsquo;re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.<br>
Our benefits include:</p><ul><li>
Competitive pay</li><li>
Generous employee discount</li><li>
Financial savings and retirement resources</li><li>
Support for your physical and mental well-being</li></ul><p><b>
About us</b><br>
As part of the Best Buy team, you&rsquo;ll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life &mdash; in our stores, online and in customers&rsquo; homes.<br>
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We&rsquo;re committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.&trade;<br>
<br>
Best Buy is an equal opportunity employer.</p>
<p>Position Type: Full time</p></div>

Senior Decision Scientist – Fulfillment Analytics

Adobe

The Opportunity
<br><br>
Join Adobe’s Growth Marketing and Insights (GMI) team as a seasoned professional in Marketing Applied Analytics. We seek an inspiring change agent who can lead and innovate in the field of Lifecycle Marketing Analytics. The ideal candidate for this position is a leader with a clear perspective and a proven track record. They have collaborated with the Lifecycle Marketing (LCM) team to improve channel performance. They apply advanced measurement techniques across outbound surfaces such as Email, Line, and WhatsApp. This role requires a strategic professional who can set LCM apart from paid media channels and encourage innovation in measurement, applied insight, and forging new growth paths. This role will play a crucial part in improving customer acquisition and engagement and fueling revenue growth. Proficiency in data analytics platforms, understanding of ML architechture, and working knowledge of the channel is required. We are looking for someone who thrives in a collaborative, fast-paced environment and is passionate about leading change.
<br>What You'll Do
<br><br>
Work on groundbreaking data science and analytics problems to answer key questions. Understand how to measure the incremental value from an email campaign. Analyze the channel’s role in driving business growth. Identify tools needed to optimize email campaigns.
<br>Collaborate with Lifecycle Marketers and leadership to build measurement, analytics roadmaps and business strategy informed by insights.
<br>Proactively identify and lead improvements to the LCM analytics ecosystem and develop a learning agenda-based roadmap for LCM Analytics, aligned with organizational objectives.
<br>Bring structure to problems and decompose them into scalable solutions that drive measurable business impact.
<br>Conduct ad-hoc analytical deep dives on complex data, and present findings to collaborators in a way that drives impact and decision-making.
<br>Lead performance reviews, manage, and own all aspects of insights and reporting.
<br>What You Need to Succeed
<br><br>
Outstanding problem-solving abilities and comfort navigating and working effectively in uncertain environments.
<br>Excellent oral and written communication skills.
<br>Intellectual curiosity, flexibility, and high attention to detail.
<br>4+ years of experience across Prescriptive, Descriptive, and Predictive Analytics, including 3+ years specifically in LCM analytics.
<br>Proficiency in traditional analytics tools and frameworks complemented by an AI-focused approach and knowledge of machine learning tools and techniques.
<br>Experience developing and working on larger-scale analytics/big data implementations.
<br>Track record of consistent delivery and execution.
<br><br>
About Adobe
<br>Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
<br><br>
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
<br><br>
Let’s Adobe together
<br>At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
<br><br>
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
<br><br>
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
<br><br>
<b>AI Use Guidelines for Interviews:</b><br>
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
<br><br>
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
<br><br>
<b>Expected Pay Range:</b> Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
<br><br>
In California, the pay range for this position is $138,600 - $200,700
<br><br>
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
<br><br>
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
<br><br>
<b>State-Specific Notices:</b><br>
<b>California :</b><br>
Fair Chance Ordinances
<br>Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
<br><br>
<b>Colorado:</b><br>
Application Window Notice
<br><br>
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
<br><br>
<b>Massachusetts:</b><br>
Massachusetts Legal Notice
<br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Applied Decision Scientist - Life Cycle Marketing

Haystack

<div>
 <p>
  <strong>
   Lead Decision Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
  We're working with a global industrial powerhouse pioneering the future of aviation and sustainable energy on this exciting opportunity
 </p>
 <p>
  <br/>
 </p>
 <p>
  .
  <br/>
  We are seeking a high-impact Lead Decision Scientist to revolutionize commercial decision-making through advanced AI and machine learning. You will architect scalable solutions across pricing, sales, and strategy, utilizing Python, SQL, and sophisticated optimization models to drive billion-dollar business outcome
 </p>
 <p>
  <br/>
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  <strong>
   s.
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  ole&bull; Lead the design and deployment of end-to-end machine learning models and optimization solutions to enhance growth, margin, and commercial productivi
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  ty.&bull; Collaborate with commercial stakeholders and analytics engineers to translate complex business problems into high-performance AI tools and decision-support syste
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  ms.&bull; Provide technical mentorship and leadership to a squad of Data Scientists and Analysts within a dedicated Commercial Analytics L
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  ab.&bull; Execute on a high-stakes Commercial AI roadmap, leveraging Honeywell Forge software ecosystems to build predictive and prescriptive mode
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  ls.&bull; Drive the technical strategy for data platform integration, ensuring analytics products are scalable, robust, and deliver actionable insigh
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  <strong>
   ts.
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   What You'll
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  Need&bull; Extensive experience in Data Science or Decision Science, with a proven track record of delivering AI solutions in a commercial, aerospace, or industrial sett
 </p>
 <p>
  ing.&bull; Proficiency in Python, R, and SQL for advanced data manipulation, statistical modeling, and machine learning developm
 </p>
 <p>
  ent.&bull; Deep expertise in optimization techniques, predictive modeling, and building decision-support tools for complex pricing or supply chain environme
 </p>
 <p>
  nts.&bull; Strong leadership skills with the ability to mentor junior talent and influence senior executive stakeholders across business segme
 </p>
 <p>
  nts.&bull; Experience with cloud-based data platforms and scaling analytics products from prototype to production-grade softw
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   are.
   <br/>
   What's On
  </strong>
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 <p>
  Offer&bull; Remote-friendly flexibility based out of a major innovation hub in Pho
 </p>
 <p>
  enix.&bull; The opportunity to lead AI initiatives for a company recognized for global leadership and diver
 </p>
 <p>
  sity.&bull; A high-visibility role where your models directly impact global energy transition and the future of fl
 </p>
 <p>
  ight.&bull; Competitive compensation and a robust mentorship culture within a Fortune 100 ecosy
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 <p>
  <br/>
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 <p>
  <strong>
   stem.
   <br/>
   Apply via Haystack
  </strong>
 </p>
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  <br/>
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 today!
</div>


Data Scientist

Cinemark

<div>
 <strong>
  Join Our Team
  <br/>
  <br/>
 </strong>
 As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.
 <br/>
 <br/>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 As part of the Data Science group, which is the advanced analytics service arm for Cinemark, the Data Scientist is responsible for development and application of analytic methods for solving business problems and deriving consumer and business insight. The Data Scientist has an enterprise focus supporting the key business objectives and core business functions of the organization.
 <br/>
 <br/>
 The highest priority requirement of a Data Scientist is curiosity and personal drive to over-deliver on internal stakeholders&rsquo; needs for analysis and insight. The Data Scientist will have open access to all forms of enterprise data and scope of work covers basic to advanced numerical methods including modeling and simulation. Regression, classification, optimization and machine learning all potentially play a role in this function. This is truly an amazing opportunity to be on the ground floor of designing and building the decision sciences competency for a multi-billion-dollar entertainment operation.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, optimize, and automate end-to-end pricing implementation workflows to reduce manual effort, improve speed-to-market, and ensure pricing accuracy across systems and channels
  </li>
  <li>
   Develop and implement analytical solutions using established numerical and statistical methods, including predictive modeling, segmentation, optimization techniques, and basic machine learning, to support pricing processes.
  </li>
  <li>
   Apply statistical best practices by understanding data limitations, variance, and uncertainty, and ensuring analyses and automated outputs are appropriately validated.
  </li>
  <li>
   Perform work and analysis for a &lsquo;multi-channel&rsquo; environment applying analytics to online and offline environments.
  </li>
  <li>
   Research and develop new forms of analytic methods applicable to relevant business objectives.
  </li>
  <li>
   Duties and responsibilities include but are not limited to consumer insights including all relevant customer behavior analysis, product and promotion testing, real estate, concessions (merchandise) performance and allocation.
  </li>
  <li>
   Produce compiled data, reports and &lsquo;visualized&rsquo; results for all levels of the organization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MS in Statistics, Math, Engineering, Computer Science, Operation Research or related degree with 3-5 years&rsquo; experience
  </li>
  <li>
   3+ years of hands-on experience and proficiency with the following areas
  </li>
  <li>
   Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch
  </li>
  <li>
   Statistical Modeling
  </li>
  <li>
   Knowledge of Classification Systems, Recommendation Systems, Predictive Modeling
  </li>
  <li>
   Objective evidence of advanced SQL capability, querying large, complex datasets using relational databases
  </li>
  <li>
   Proven analytical capability with intermediate to advanced knowledge of statistics as it relates to all aspects of data set analysis including error, experimental design
  </li>
  <li>
   Experience in working with customer data in a retail/entertainment business environment preferred.
  </li>
  <li>
   Visualization tools experience, Power BI preferred
  </li>
  <li>
   Strong data interpretation, visualization and presentation skills
  </li>
  <li>
   Ability to explain statistical approaches/models used, rationale/merits of different approaches, results and interpretation to team members
  </li>
  <li>
   Able to work effectively in a collaborative team environment
  </li>
  <li>
   Familiarity with machine learning
  </li>
  <li>
   Intellectually curious / quick thinker
  </li>
  <li>
   Willingness / ability to take ownership as technical lead of a project
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits Available
  <br/>
  <br/>
 </strong>
 At Cinemark, we believe every team member should feel like a hero. Each career comes with a variety of blockbuster benefits for both hourly and salaried team members.
 <br/>
 <br/>
 <ul>
  <li>
   Employee Discount
  </li>
  <li>
   401(k) Matching*
  </li>
  <li>
   Growth Opportunities
  </li>
  <li>
   Education Assistance*
  </li>
  <li>
   Health Benefits*
  </li>
  <li>
   Parental Leave*
  </li>
  <li>
   Paid Time Off*
  </li>
  <li>
   Daily Pay*
  </li>
  <li>
   Free Movies*
  </li>
  <li>
   Benefits may vary by career category, so be sure to check the specific details on our career site.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  DISCLAIMER: This job description is intended only as a general guideline of your duties and responsibilities at Cinemark and is not a legally binding contract. Cinemark reserves the right to amend, change or terminate the job description, as it deems appropriate. Any change amendments, or modifications may be implemented even though they have not been communicated, reprinted or substituted in this job description.
  <br/>
  <br/>
 </em>
 <em>
  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  <br/>
  <br/>
 </em>
 <strong>
  Cinemark is an Equal Opportunity Employer
 </strong>
</div>


Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 <br/>
 <br/>
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 <br/>
 <br/>
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 <br/>
 <br/>
 <strong>
  💻 Role
  <br/>
  <br/>
 </strong>
 As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We&rsquo;re looking for a
 <strong>
  Product Data Scientist
 </strong>
 who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <strong>
  🔍 Generate Insights &amp; Shape Product Direction
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define and own the KPIs that measure product health, user engagement, and marketplace performance.
  </li>
  <li>
   Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
  </li>
  <li>
   Translate complex data into actionable recommendations for product and leadership teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🧪 Drive Experimentation &amp; Measurement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
  </li>
  <li>
   Develop frameworks for causal inference, impact measurement, and long-term product evaluation.
  </li>
  <li>
   Build scalable methodologies to understand feature performance and guide iteration.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🛠 Build Data Products &amp; Tools
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
  </li>
  <li>
   Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🤝 Lead Cross-Functional Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advocate for data-driven decision-making and foster a culture of measurement across the product organization.
  </li>
  <li>
   Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
  </li>
  <li>
   Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  US Based
  <br/>
  <br/>
 </strong>
 <strong>
  We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
  <br/>
  <br/>
 </strong>
 <strong>
  👋 You
  <br/>
  <br/>
 </strong>
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 <br/>
 <br/>
 <strong>
  🎓 Experience &amp; Expertise
  <br/>
  <br/>
 </strong>
 As our next
 <strong>
  Product Data Scientist
 </strong>
 , you bring:
 <br/>
 <br/>
 <ul>
  <li>
   3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
  </li>
  <li>
   A bachelor&rsquo;s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
  </li>
  <li>
   Proven experience applying statistical and analytical methods to real-world product problems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🧠 Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
  </li>
  <li>
   Proficiency with Python or R for data analysis, modeling, and experimentation.
  </li>
  <li>
   Experience designing and analyzing A/B tests and understanding causal inference techniques.
  </li>
  <li>
   Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🗣 Collaboration &amp; Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
  </li>
  <li>
   Experience leading cross-functional projects and influencing product strategy with data.
  </li>
  <li>
   Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  💰Compensation
  <br/>
  <br/>
 </strong>
 <strong>
  For Full-Time (Salary) US based applicants:
 </strong>
 $185,000/year to $240,000/year + benefits + equity.
 <br/>
 <br/>
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 <br/>
 <br/>
 <strong>
  🎁 Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  </li>
  <li>
   Health Insurance options including Medical, Dental, Vision
  </li>
  <li>
   Work From Home Support
  </li>
  <ul>
   <li>
    Home office setup allowance
   </li>
   <li>
    Monthly allowance for cell phone and internet
   </li>
  </ul>
  <li>
   Care benefits
  </li>
  <ul>
   <li>
    Monthly allowance for wellness
   </li>
   <li>
    Annual allowance towards Childcare
   </li>
   <li>
    Lifetime benefit for family planning, such as adoption or fertility expenses
   </li>
  </ul>
  <li>
   Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  </li>
  <li>
   Monthly allowance to dogfood the app
  </li>
  <ul>
   <li>
    All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
   </li>
  </ul>
  <li>
   Parental Leave
  </li>
  <ul>
   <li>
    16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
   </li>
  </ul>
 </ul>
 <strong>
  <strong>
   💛 EOE
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 <br/>
 <br/>
 Compensation Range: $185K - $240K
 <br/>
 <br/>
</div>


Data Scientist, Product Analytics

University of Florida

<p></p><div><div><p><b>JOB NO:</b></p>
<div>539138</div><br>
<p><b>WORK TYPE:</b></p>
<div>Staff Full-Time</div><br>
<p><b>LOCATION:</b></p>
<div>Main Campus (Gainesville, FL)</div><br>
<p><b>CATEGORIES:</b></p>
<div>Health Care Administration/Support</div><br>
<p><b>DEPARTMENT:</b></p><div>
29013100 - MD-QUALITY &amp; PATIENT SAFETY</div></div><br>
<div>
<div><div><div><div><b>CLASSIFICATION TITLE:</b></div>
<div>
<p>Data Scientist IV</p></div><br>
</div><br>
<div><div><b>JOB DESCRIPTION:</b></div>
<div>
<p>The Data Scientist IV serves as a senior decision scientist within the UF College of Medicine&rsquo;s Quality and Patient Safety initiative (QPSi), providing expert-level leadership in the design and execution of advanced analytic strategies that inform the safe and effective deployment of AI-enabled interventions in clinical workflows.</p>
<p>
The incumbent brings deep proficiency in statistical theory, causal inference, and probabilistic modeling, and works with interdisciplinary clinical, operational, and informatics teams to develop rigorous statistical analysis plans and decision-analytic frameworks for complex clinical questions relevant to quality improvement and patient safety.</p>
<p>
This role serves as a critical bridge between AI technology investments and measurable clinical impact, ensuring that predictive models and AI-enabled tools are deployed safely, monitored rigorously, and evaluated for their effect on patient outcomes &mdash; directly advancing QPSi&rsquo;s mission to eliminate preventable harm by integrating innovative AI tools with expert care.</p>
<p><b>
About This Role:</b></p>
<ul>
<li>Leads the development of decision-science and statistical strategies that inform the safe and effective deployment of AI-enabled interventions in clinical workflows. Provides advanced consultation to interdisciplinary clinical, operational, and informatics teams to define decision questions, endpoints, and evaluation approaches. Develops and reviews statistical analysis plans for intervention evaluation, including the application of causal inference methods to estimate impact on clinician behavior, care processes, and patient outcomes under real-world conditions. Produces and validates analytic outputs (tables, figures, and decision summaries) that communicate results and uncertainty to stakeholders and leadership. Analytic outputs directly inform health system leadership decisions on AI deployment scope, expansion, and discontinuation.</li>
<li>Designs and executes simulation-based evaluations to anticipate workflow effects and operational consequences of AI interventions prior to and after implementation. Applies Bayesian statistical modeling and probabilistic reasoning to quantify uncertainty and evaluate candidate intervention strategies in light of clinical and operational tradeoffs (e.g., benefit, burden, timeliness, and resource constraints). Where appropriate, evaluates sequential decision strategies - including reinforcement-learning-informed policy comparisons - in a controlled and reviewable manner to support decisions such as alert thresholds, routing, timing, and escalation pathways. Summarizes scenario-testing results into clear recommendations for implementation teams and governance stakeholders.</li>
<li>Creates and validates analysis datasets and/or reviews those developed by others to ensure data quality, appropriate methods, and accurate calculation of variables from heterogeneous clinical data sources. Develops well-documented, reproducible code and technical documentation to support meetings, presentations, and manuscripts. Contributes to AI governance activities by supporting pre-deployment analytic review, defining monitoring metrics, and performing postimplementation impact evaluation, including periodic performance assessment and interpretability/quality checks as required by program needs.</li>
</ul>
<p><b>About COM's Quality and Patient Safety Initiative (QPSi):</b></p>
<p>
The UF College of Medicine's Quality and Patient Safety Initiative (QPSi) is dedicated to enhancing patient care quality and safety through innovative research, education, and collaboration. This initiative focuses on implementing evidence-based practices, advancing patient safety initiatives, and fostering a culture of continuous improvement within the College of Medicine.</p>
<p>
QPSi's mission is to drive excellence in healthcare delivery by integrating clinical expertise, data-driven insights, and cutting-edge technology. The initiative engages healthcare professionals, students, and stakeholders in efforts to elevate patient care standards and outcomes.</p>
<p>
For more information about the Quality and Patient Safety Initiative, visit UF College of Medicine's QPSi.</p>
<p><b>
We Offer Exceptional Benefits:</b></p>
<ul>
<li><b>Low-cost State Health Plans</b>: Medical, Dental, and Vision Insurance</li>
<li><b>Life and Disability Insurance</b></li>
<li><b>Generous Retirement Options</b> to secure your future</li>
<li><b>Comprehensive Paid Time Off Packages</b>: (includes over 10 paid holidays, as well as paid family, sick and vacation leave)</li>
<li><b>Exceptional Personal and Professional Development Opportunities</b>: Access to UF Training &amp; Organizational Development programs, leadership development, LinkedIn Learning, and more</li>
<li><b>Tuition Assistance </b>through the UF Employee Education Program</li>
<li><b>Public Service Loan Forgiveness</b> (PSLF) Eligible Employer</li></ul><br>
<div>
</div></div></div><br>
<div><div><b>EXPECTED SALARY:</b></div>
<div>
<p>$115,000 - 125,000 annually</p></div><br>
</div><br>
<div><div><b>REQUIRED QUALIFICATIONS:</b></div>
<div>
<p>A Bachelor&rsquo;s Degree in data science, statistics, bioinformatics, analytics, or similar field and seven years of experience; Master&rsquo;s Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience.</p></div><br>
</div><br>
<div><div><b>PREFERRED:</b></div>
<div>
<p>The ideal candidate will possess:</p>
<ul>
<li>Demonstrated proficiency in R and/or Python for statistical analysis, simulation, and reproducible research.</li>
<li>Deep proficiency in Bayesian statistical modeling frameworks (e.g., Stan, PyMC, JAGS), including understanding of sampler diagnostics, convergence properties, and prior specification.</li>
<li>Strong foundation in causal inference methods (e.g., difference-in-differences, interrupted time series, propensity-based approaches), including the ability to formally state identifying assumptions and assess their plausibility in applied settings.</li>
<li>Demonstrated experience designing and validating simulation models (e.g., Monte Carlo, agent-based, discrete-event) to evaluate interventions or operational scenarios under uncertainty.</li>
<li>Experience working with electronic health record data or large-scale clinical datasets.</li>
<li>Working knowledge of clinical quality improvement, patient safety, or health system operations.</li>
<li>Solid understanding of AI/ML model evaluation, including calibration assessment, performance monitoring, and validation methodology in applied clinical settings.</li>
<li>Experience with AI governance concepts, including pre-deployment review and post-implementation evaluation.</li>
<li>Ability to translate complex analytic findings into clear recommendations for clinical and operational stakeholders who may not have a quantitative background..</li>
</ul>
</div></div><br>
<div><div><b>SPECIAL INSTRUCTIONS TO APPLICANTS:</b></div>
<div>
<p>In order to be considered, you must upload your cover letter, resume, and contact information for three professional references.</p>
<p>
Application must be submitted by 11:55 p.m. (ET) of the posting end date.</p></div><br>
</div><br>
<div><div><b>HEALTH ASSESSMENT REQUIRED:</b></div> <div>No</div></div></div><br>
</div>
</div><p></p><div><p><b>ADVERTISED:</b></p>
<div>16 Mar 2026</div> Eastern Daylight Time<br>
<p><b>APPLICATIONS CLOSE:</b></p>
<div><div>30 Mar 2026</div></div>
Eastern Daylight Time</div></div><p></p>

Data Scientist IV - Quality and Patient Safety initiatives

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