data science lead

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>6/11/2026</p>
</div><div><p>Description</p>
<div><h4 class="jobSectionHeader"><b>Job Summary</b></h4><p>
The Sr. Data Scientist is responsible for establishing and implementing new or revised data science and machine learning application systems in coordination with the Technology team. The overall objective of this role is to lead the applications systems analysis, advanced model development, and programming activities for our data science initiatives.</p><h4 class="jobSectionHeader"><b>
Responsibilities</b></h4><ul><li><b>
Strategic Partnership:</b> Partner with multiple management teams to ensure appropriate integration of data science functions to meet goals. Identify and define necessary system enhancements to deploy new data products and process improvements, with a focus on leveraging machine learning.</li><li><b>
Problem Resolution:</b> Resolve a variety of high-impact problems and projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying advanced statistical analysis and machine learning modeling techniques.</li><li><b>
Technical Leadership &amp; Expertise:</b> Provide subject matter expertise in data science and advanced knowledge of AI/ML applications. Ensure application design adheres to the overall architecture blueprint. Key areas of focus include:<ul><li>
Developing complex machine learning models using the Python AI/ML stack.</li><li>
Designing and implementing solutions for anomaly detection, noun entity recognition (NER), and rule-based compliance policies.</li><li>
Building and deploying Agentic AI solutions using Large Language Models (LLMs).</li></ul></li><li><b>
ML Lifecycle Management:</b> Utilize advanced knowledge of the machine learning model lifecycle to develop and enforce standards for coding, testing, debugging, and implementation of scalable, production-grade models.</li><li><b>
Business Integration:</b> Develop a comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals and to ensure the effective deployment of data science capabilities.</li><li><b>
Innovation &amp; Solutioning:</b> Provide in-depth analysis with interpretive thinking to define complex business issues and develop innovative, data-driven solutions and machine learning models.</li><li><b>
Mentorship:</b> Serve as an advisor or coach to mid-level data scientists and analysts, allocating work as necessary and fostering a culture of technical excellence.</li><li><b>
Risk Management:</b> Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. This includes driving compliance with applicable laws, rules, and regulations related to data and AI, adhering to Policy, applying sound ethical judgment, and escalating, managing, and reporting control issues with transparency.</li></ul><h4 class="jobSectionHeader"><b>
Recommended Qualifications</b></h4><ul><li><b>
Experience:</b> 6-10 years of relevant experience in a Data Science, Machine Learning, or a related Applications Development role with a strong focus on quantitative analysis.</li><li><b>
Technical Proficiency:</b> Extensive experience in statistical analysis, machine learning model development, and programming of software applications, specifically with the Python AI/ML stack (e.g., Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch).</li><li><b>
Project Implementation:</b> Proven experience in managing and implementing successful data science projects from conception to production.</li><li><b>
Subject Matter Expertise:</b> Recognized Subject Matter Expert (SME) in applied machine learning, with deep knowledge in one or more of the following:<ul><li>
Anomaly Detection</li><li>
Natural Language Processing (NLP), particularly Noun Entity Recognition (NER)</li><li>
Agentic AI using Large Language Models (LLMs)</li><li>
Rule-based systems for compliance and policy implementation</li></ul></li><li><b>
Preferred Skills:</b> Familiarity with the SAS programming language and/or Java-based microservices architecture is a plus.</li><li><b>
Adaptability:</b> Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.</li><li><b>
Leadership:</b> Demonstrated leadership and project management skills.</li><li><b>
Communication:</b> Consistently demonstrates clear and concise written and verbal communication, with the ability to convey complex technical concepts to diverse audiences.</li></ul><h4 class="jobSectionHeader"><b>
Education</b></h4><ul><li><b>
Required:</b> Bachelor&rsquo;s degree/University degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering, or equivalent experience.</li><li><b>
Preferred:</b> Master&rsquo;s degree or Ph.D. in a relevant quantitative discipline is highly preferred.</li></ul><p>
-</p><h4 class="jobSectionHeader"><b>
Job Family Group:
</b></h4>Technology<p>
-</p><h4 class="jobSectionHeader"><b>
Job Family:</b></h4>
Applications Development<p>
-</p><h4 class="jobSectionHeader"><b>
Time Type:</b></h4>
Full time<p>
-</p><h4 class="jobSectionHeader"><b>
Primary Location:</b></h4>
Jersey City New Jersey United States<p>
-</p><h4 class="jobSectionHeader"><b>
Primary Location Full Time Salary Range:</b></h4>
$142,320.00 - $213,480.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><h4 class="jobSectionHeader"><b>
Most Relevant Skills
</b></h4>Please see the requirements listed above.<p>
-</p><h4 class="jobSectionHeader"><b>
Other Relevant Skills
</b></h4>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><h4 class="jobSectionHeader"><b>
Anticipated Posting Close Date:</b></h4>
Jun 17, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>
</div><div><p>Salary</p><p>
142,320.00 - 213,480.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Sr. Data Scientist - Vice President

Liberty Mutual Insurance

<div><b>Description
</b><div><p>The<b> US Property &amp; Specialty Product Design and Modeling team </b>is looking for a sharp, driven<b> Assistant Director </b>to shape the future of pricing for our Renters portfolio. You'll sit at the intersection of advanced data science, business strategy, and cross-functional leadership&mdash; building models that directly drive profitable growth.</p><p></p><p><br>
Reporting to the Specialty Senior Director, you'll collaborate closely with teams across US Data Science, Product Management, Delivery, and IT. You'll have real ownership over high-stakes pricing programs and the visibility to influence decisions at the senior level.</p><p></p><p><b><br>
**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **</b></p><p></p><p><b><br>
Why You'll Love this Role</b></p><p></p><ul><li><b><br>
Real Ownership: </b>Lead programs end-to-end, from model design to market deployments</li><li><b>
Senior Exposure: </b>Influence strategy and present insights to senior leadership</li><li><b>
Cutting Edge Modeling: </b>Explore and utilize next generation modeling techniques</li><li><b>
Data Science Community: </b>Knowledge Sharing and access to large community of Data Scientists</li></ul><p></p><p><b><br>
What You'll Do</b></p><p></p><ul><li><b><br>
Own the pricing roadmap: </b>Develop industry-leading pricing programs in close collaboration with the Product team that unlocks segmented, profitable growth opportunities across the Renters Portfolio.</li><li><b>
Drive program rollouts: </b>Lead end-to-end deployment of pricing programs &mdash; including model adjustments for regulatory requirements, documentation, and DOI objection responses.</li><li><b>
Collaborate across functions: </b>Partner with Delivery, Specialty Product, Program Management, IT, and other teams to ensure fast, effective launches.</li><li><b>
Analyze &amp; iterate: </b>Monitor Post Launch results and work hand-in-hand with business teams to refine go-forward market strategy.</li><li><b>
Innovate continuously: </b>Identify new profitable growth opportunities by researching emerging modeling techniques and testing novel variables and new data sources.</li><li><b>
Lead with influence: </b>Communicate tradeoffs clearly, guide leadership toward best courses of action, and deliver on commitments.</li></ul></div><b>
Qualifications</b><div><ul><li>
Broad knowledge of predictive analytic techniques and statistical diagnostics of models.</li><li>
Expert knowledge of predictive toolset; reflects as expert resource for tool development.</li><li>
Demonstrated ability to exchange ideas and convey complex information clearly and concisely.</li><li>
Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU.</li><li>
Ability to give effective training and presentations to peers, management and less senior business leaders.</li><li>
Ability to use results of analysis to persuade team or department management to a particular course of action.</li><li>
Has a value driven perspective with regard to understanding of work context and impact.</li><li>
Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.</li></ul></div><b>
About Us</b><p><b>
Pay Philosophy:</b> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.<br>
<br>
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.<br>
<br>
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits<br>
<br>
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.<br>
<br>
<b>Fair Chance Notices</b></p><ul><li>
California</li><li>
Los Angeles Incorporated</li><li>
Los Angeles Unincorporated</li><li>
Philadelphia</li><li>
San Francisco</li></ul></div>

Assistant Director, Data Science: Renter's Portfolio

Wells Fargo

<div><h2 class="jobSectionHeader"><b>About this role:
</b></h2><h2 class="jobSectionHeader"><b>Wells Fargo is seeking a talented Lead Data Science Consultant to join our growing Marketing Analytics team as part of Consumer Banking and Lending (CBL).</b></h2><h2 class="jobSectionHeader"><b>
In this role you will partner with stakeholders and play a pivotal role for various marketing campaigns aimed at assessing key marketing levers for future optimization and developing solid actionable inflight reporting for continuous refinement of our marketing campaigns. Additionally, you will be responsible for implementing marketing strategies that drive growth and engagement, while continuously improving campaign performance and efficiency.</b></h2><h2 class="jobSectionHeader"><b>
In this role, you will:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Measure and quantify the success of CSBB Marketing campaigns while inflight and via post campaign deep dives</b></h2></li><li><h2 class="jobSectionHeader"><b>
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels</b></h2></li><li><h2 class="jobSectionHeader"><b>
Lead complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact</b></h2></li><li><h2 class="jobSectionHeader"><b>
Review and analyze complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations</b></h2></li><li><h2 class="jobSectionHeader"><b>
Independently analyze and resolve complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities</b></h2></li><li><h2 class="jobSectionHeader"><b>
Execute analytical experiments and create innovative statistical technics to discover solutions for abstract business problems across various domains</b></h2></li><li><h2 class="jobSectionHeader"><b>
Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Interpret and analyze data, using advanced analytics methods and programming, to recommend ways to solve problems and influence business decisions and strategies</b></h2></li><li><h2 class="jobSectionHeader"><b>
Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</b></h2></li><li><h2 class="jobSectionHeader"><b>
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Desired Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
2+ years of previous marketing campaign analytics experience</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong analytical skills, with experience using data and insights to inform marketing decisions</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in SQL, Python / R, and other programming languages</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in Data visualization preferably with Tableau</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with large production data sets</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines</b></h2></li><li><h2 class="jobSectionHeader"><b>
Expertise in statistical testing</b></h2></li><li><h2 class="jobSectionHeader"><b>
Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with technical systems and business processes extracting data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Job Expectations:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Hybrid work schedule. Must be able to work from one of the approved jobs posting locations three (3) days in office &amp; two (2) days remote.</b></h2></li><li><h2 class="jobSectionHeader"><b>
This position is not eligible for Visa sponsorship.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Relocation assistance is not available for this position.</b></h2></li></ul><p></p><p><b>
Posting End Date:</b></p><p></p>
16 Jun 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p>
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Lead Campaign Analytics & Data Science Consultant

Xen.ai

<p><b>About the company</b></p><p>Xen.AI, is an Artificial Intelligence (AI) research and development (R&amp;D) organization with operations in USA and India. We help our customers to develop innovative and custom solutions using Artificial Intelligence, Machine Learning, Deep Learning, Data Science and Open Source technologies. Please visit https://xen.ai/ to know more about us.</p><p><b>Compensation for this position</b></p><ul><li>For the 1st year - 100% revenue based compensation based on the client projects that you help to get and deliver.</li><li>After 1st year, based on company's progress we can consider formal corporate positions with market standard salary and equity etc.</li></ul><p><b>About the position</b></p><p>Xen.AI is looking for a hands-on Director of engineering or Lead full stack Azure developer, to lead and develop AI, Machine Learning and Data Science products and solutions and lead the client projects delivery, who has proven hands-on experience in developing end to end software solutions and delivering client projects using Azure cloud services and infrastructure. Selected candidates would be able to work remotely from any location. This can be a full time or part-time role. For the 1st year compensation would be 100% revenue based on the client projects that you help to deliver.</p><p><b>Requirements</b></p><ul><li>10+ years of proven hands-on, application development experience using Azure cloud services and infrastructure.</li><li>Hands-on development experience with Azure cloud services.</li><li>Programming experience: Python, SQL, Azure cloud services.</li><li>Experience developing Machine Learning based products.</li><li>Experience with MLOps and DevOps practices preferred.</li><li>Experience with VSCode, Github is required.</li><li>Proven track record of successfully delivering innovative software and/or AI/ML.</li><li>Highly self motivated.</li><li>Well organized, focused, aggressive, result oriented, can-do attitude.</li><li>Excellent leadership skills.</li><li>Excellent communication skills.</li><li>Excellent team management and leadership experience.</li><li>Bachelors/Masters Degree in Computer Science or related field..</li><li>Must have Work Authorization in the US, we will not be able to support any VISA sponsorship. No H1B or OPT.</li><li>Deep domain knowledge in Healthcare or Banking, Financial Services, and Insurance (BFSI) sectors preferred.</li></ul><p><b>Compensation for this position</b></p><ul><li>For the 1st year - 100% revenue based compensation based on the client projects that you help to get and deliver.</li><li>After 1st year, based on company's progress we can consider formal corporate positions with market standard salary and equity etc.</li></ul><p><b>Please note that we do not work with any recruiters.</b></p><p>Please visit https://xen.ai/ to know more about us.</p><p>-----</p><p>Job Types: Part-time, Contract</p><p>Pay: $1.00 per year</p><p>Work Location: Remote</p>

Hands-on Director of Engineering / Lead Full Stack Azure Developer, AI solutions, Healthcare, BFSI

PrizePicks

<div><div><p>At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?</p></div><p>
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development &amp; causal inference, to enable better &amp; more rapid decision making.</p>
<h1 class="jobSectionHeader"><b>
What you'll do:</b></h1>
<ul><li>Lead a team of data scientists, covering topics across retention and acquisition marketing</li>
<li>Oversee the development &amp; maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution</li>
<li>Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes</li>
<li>Integrate LLMs into data &amp; operations workflows, to increase throughput &amp; scale across domains</li>
<li>Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team</li>
<li>Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made</li>
<li>Collaborate with senior leadership, to align marketing data science effort with overall company &amp; marketing goals</li>
</ul><h1 class="jobSectionHeader"><b>What you have:</b></h1>
<ul><li>7+ years of experience in data science &amp; analytics</li>
<li>5+ years of experience in a marketing, customer, or revenue data-related role</li>
<li>3+ years of experience managing or mentoring data scientists, analysts, or engineers</li>
<li>Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred</li>
<li>Proven experience in building and implementing production-grade machine learning models in an operations support capacity</li>
<li>Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes<br>
</li>
<li>Exceptional communicator, with experience presenting to senior leadership</li>
<li>Ability to influence cross-functional partners (Marketing, Finance, Product)</li>
<li>Comfortable balancing hands-on work with team leadership</li>
<li>Technical Skills
<ul><li>Strong statistical proficiency</li>
<li>Python for statistical computing, model development, and data visualization</li>
<li>Advanced SQL</li>
</ul></li></ul><h1 class="jobSectionHeader"><b>Where you'll live:</b></h1>
<ul><li>While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote</li>
</ul><h1 class="jobSectionHeader"><b>Working at PrizePicks:</b></h1>
<p>
The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.</p>
<p>
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.</p>
<p>
Date Posted: 5/11/2026</p>
<p>
First Extension: 6/11/2026</p><p></p><div><h1 class="jobSectionHeader"><b><br>
Benefits you'll receive:</b></h1>
<p>
In addition to your great compensation package, full-time employees will be eligible for the following perks:</p>
<ul>
<li>Company-subsidized medical, dental, &amp; vision plans</li>
<li>401(k) plan with company match</li>
<li>Annual bonus</li>
<li>Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)</li>
<li>Generous paid leave programs, including 16-week paid parental leave and disability benefits</li>
<li>Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked</li>
<li>Company-wide in-person events and team outings</li>
<li>Lifestyle enhancement program</li>
<li>Company equipment provided (Windows &amp; Mac options)</li>
<li>Annual performance reviews with opportunities for growth and career development</li>
</ul>
<p><b>You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.</b></p>
<p><i>
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</i></p></div></div>

Senior Data Science Manager - Marketing Science

Steampunk

<div>Overview:
<div>
We are looking for seasoned <b>AI Tech </b><b>Lead</b> to work with our team and our clients to develop enterprise grade predictive and generative AI solutions, applications, pipelines, visualizations, and more! The AI Tech Lead needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. This role spans the spectrum of data science development work.</div>
Contributions:<br>
<div></div><ul><li>
Lead and mentor a team of developers working on cutting-edge predictive and generative AI solutions.</li><li>
Architect and oversee the development of scalable AI/ML systems, ensuring best practices in software engineering and AI ethics.</li><li>
Drive the adoption of AI technologies across the organization, collaborating with cross-functional teams to identify and implement AI-driven solutions.</li><li>
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.</li><li>
Establish and enforce best practices for AI development, including version control, testing, and documentation.</li><li>
Oversee the integration of AI models into production environments, ensuring seamless deployment and optimal performance.</li><li>
Collaborate with data scientists to translate complex algorithms into efficient, production-ready code.</li><li>
Implement and maintain robust MLOps practices to streamline the AI development lifecycle.</li><li>
Stay abreast of the latest advancements in AI/ML technologies and evaluate their potential application for our clients.</li><li>
Ensure compliance with data privacy regulations and ethical AI guidelines throughout the development process.</li><li>
You will contribute to the growth of our AI &amp; Data Exploitation Practice!</li></ul>
Qualifications:<br>
<div></div><ul><li>
Current Department of Labor Public Trust.</li><li>
Experience building AI solutions serving large-scale user populations (100K+ users).</li><li>
Ability to hold a position of public trust with the US government.</li></ul><ul><li>
Bachelor&rsquo;s, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>
5+ years of experience in software engineering, focused on AI/ML development.</li><li>
Proven track record of leading and mentoring teams of developers in AI projects.</li><li>
Strong programming skills in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.</li><li>
Extensive knowledge of machine learning algorithms, deep learning architectures, and natural language processing techniques.</li><li>
Proficiency in cloud platforms (AWS, Azure, or GCP) and experience with deploying AI solutions at scale.</li><li>
Solid understanding of DevSecOps principles and experience implementing CI/CD pipelines for AI projects.</li><li>
Familiarity with big data technologies such as Hadoop, Spark, and distributed computing concepts.</li><li>
Experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).</li><li>
Strong understanding of data structures, algorithms, and software design patterns.</li><li>
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.</li><li>
Demonstrated ability to balance technical leadership with hands-on development when needed.</li></ul><ul><li>
Experience with agile methodologies and project management tools.</li><li>
Exposure to Databricks.</li></ul><br>
<div></div>
About <b>steampunk</b>:
<div>
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $160,000 to $190,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk&rsquo;s total compensation package for employees. Learn more about additional Steampunk benefits here.</div><div></div><div><b><br>
Identity Statement</b></div><div>
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</div><div></div><div><br>
Steampunk is a <b>Change Agent</b> in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our <b>Human-Centered delivery methodology</b>, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an <b>employee owned company</b>, we focus on investing in our employees to enable them to do the greatest work of their careers &ndash; and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.</div><div></div><div><i><br>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.</i></div></div>

AI Tech Lead

Booz Allen Hamilton

<div>AI/ML Engineer and Data Scientist<p><b>
The Opportunity:</b></p><p>
As a data scientist, you&rsquo;re excited at the prospect of unlocking the secrets held by a data set, and you&rsquo;re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors&mdash;from fraud detection to cancer research to national intelligence&mdash;we need you to help find the answers in the data.</p><p></p><p>
On our team, you&rsquo;ll use your leadership skills and data science expertise to create real-world impact. You&rsquo;ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You&rsquo;ll guide teammates and lead the development of algorithms and systems. You&rsquo;ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you&rsquo;ll provide a deep understanding of the data, what it all means, and how it can be used.</p><p></p><p>
Work with us as we use data science for good.</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
3+ years of experience with statistical and general-purpose programming languages for data analysis</p></li><li><p>
3+ years of experience analyzing structured and unstructured data sources</p></li><li><p>
Experience with data exploration, data cleaning, data analysis, data visualization, or data mining</p></li><li><p>
Experience developing predictive data models, quantitative analyses and visualization of targeted data sources</p></li><li><p>
Experience with natural language processing, text mining, or machine learning techniques</p></li><li><p>
Experience with REST APIs, webhooks, and automation middleware</p></li><li><p>
Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms</p></li><li><p>
Knowledge of AI and ML workflows leveraging existing AI and ML tools</p></li><li><p>
TS/SCI clearance</p></li><li><p>
Bachelor&rsquo;s degree</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience in the development of algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and NoSQL</p></li><li><p>
Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL</p></li><li><p>
Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2</p></li><li><p>
Master's degree</p></li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AI/ML Engineer and Data Scientist

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