data science manager

CircleCI

<div><h3 class="jobSectionHeader">About the Role:</h3>

The Manager of Data Science for GTM is a hands-on player coach who leads from the front across Sales, Customer Success, and Marketing analytics. They are deeply technical, opinionated about the GTM analytical agenda, and accountable for both the output of the team and the development of each person on it. They are not a pure people manager &mdash; they roll up their sleeves on the hardest problems, set the standard for what good looks like, and pull the team up through hands-on coaching, technical mentorship, and direct involvement in the work. They own the analytical strategy for the GTM function and are a credible, trusted partner to Sales, CS, and Marketing leadership.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Set the analytical strategy and roadmap for GTM, proactively identifying the highest-leverage opportunities before they are asked, across the full customer lifecycle from acquisition through expansion and retention.</li>
<li>Operate as a player coach, stay technical, get into the weeds on the hardest GTM problems, and model the analytical rigor and DS thinking you expect from the team.</li>
<li>Coach the team directly on the work itself: review analyses, push on methodology, challenge correlation versus causation, and raise the bar for statistical depth, EDA, and storytelling.</li>
<li>Own the measurement strategy for GTM, defining how we evaluate the true impact of marketing campaigns, sales motions, and CS interventions through rigorous causal methods, not just attribution heuristics.</li>
<li>Drive development and iteration of churn risk, health scoring, and expansion propensity models, ensuring they are statistically sound and actively used by CS and Sales to prioritize accounts.</li>
<li>Lead marketing attribution methodology, moving the team beyond last-touch toward multi-touch and incrementality-based approaches that give leadership an accurate picture of what is actually driving pipeline.</li>
<li>Partner with Revenue Operations and Finance on pipeline and revenue forecasting models that inform quota setting, capacity planning, and board-level reporting.</li>
<li>Partner with Sales, CS, and Marketing leadership as a strategic thought partner. Influence decisions on territory design, segmentation, campaign investment, and retention strategy before they are made.</li>
<li>Grow each person on the team intentionally, set clear development goals, give direct feedback often, and hold the bar high on both performance and growth.</li>
<li>Champion AI as a force multiplier. Build agents and skills that transition repetitive GTM data work into automated capabilities and free the team to focus on higher-leverage problems.</li>
</ul><h3 class="jobSectionHeader">What You'll Bring:</h3>
<ul><li>7+ years of experience in data science or quantitative research, with at least 2 years managing a team of data scientists.</li>
<li>Strong hands-on technical skills: SQL, Python, and modern data warehouse environments. You can still write the code and review the work.</li>
<li>Demonstrated experience applying analytical methods to GTM problems: churn modeling, propensity scoring, attribution, forecasting, or similar.</li>
<li>Experience with causal inference methods (DiD, synthetic control, regression discontinuity, or similar) applied to real GTM or business problems.</li>
<li>Deep experience with experimental design, A/B testing, and rigorous measurement frameworks in a marketing or sales context.</li>
<li>Strong track record of influencing GTM strategy through data-driven recommendations at the leadership level.</li>
<li>Exceptional storytelling skills, able to translate complex methodology and findings into clear, compelling narratives for Sales, CS, and Marketing leaders.</li>
<li>Track record of developing data scientists and helping them grow from reactive analytics to proactive, strategic insight generation.</li>
</ul><h3 class="jobSectionHeader">Bonus/Nice To Have:</h3>
<ul><li>Hands-on experience with churn risk modeling, health scoring, or customer lifetime value models in a B2B SaaS context.</li>
<li>Experience with marketing attribution beyond last-touch, media mix modeling, incrementality testing, or multi-touch attribution.</li>
<li>Familiarity with revenue forecasting and pipeline modeling in partnership with RevOps or Finance.</li>
<li>Background in SaaS, developer tools, or B2B product-led growth metrics.</li>
<li>Experience with CRM data (Salesforce or HubSpot) and marketing automation platforms as analytical data sources.</li>
<li>Hands-on experience with AI tools like Claude, Cursor, or similar LLM-powered assistants and a track record of helping a team adopt them.</li>
<li>Experience with probabilistic modeling or Bayesian approaches to forecasting and scoring.</li>
</ul><div>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About CircleCI

CircleCI is the world's largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster. 
Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold 
Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.

CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</div></div>

Data Science Manager, GTM

PrizePicks

<div><div>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?</div>
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.
<h1 class="jobSectionHeader">
What you'll do:</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">What you have:</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 
</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">Where you'll live:</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">Working at PrizePicks:</h1>

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.

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.

Date Posted: 5/11/2026

First Extension: 6/11/2026<div><h1 class="jobSectionHeader"> 
Benefits you'll receive:</h1>

In addition to your great compensation package, full-time employees will be eligible for the following perks:
<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>
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.

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.</div></div>

Senior Data Science Manager - Marketing Science

NGXP Technologies Qatar W.L.L.

Job Summary: NGXP Technologies Qatar W.L.L. is seeking a Senior AI Solutions Manager to lead the design, development, and deployment of artificial intelligence and machine learning solutions across enterprise and client-facing platforms. This role is responsible for driving AI strategy, overseeing model development, managing AI product delivery, and ensuring scalable, ethical, and production-ready AI systems. If you are an experienced AI and data science leader, this is a key opportunity in Qatar&rsquo;s advanced technology and AI innovation sector.What you'll do:<ul><li>Lead end-to-end AI solution development from concept to production deployment</li><li>Design and implement machine learning, deep learning, and predictive analytics models</li><li>Oversee AI product lifecycle including data collection, training, evaluation, and optimization</li><li>Collaborate with software engineers, data scientists, and product teams</li><li>Define AI architecture, frameworks, and deployment strategies</li><li>Ensure scalability, performance, and reliability of AI-driven systems</li><li>Manage AI project timelines, budgets, and delivery milestones</li><li>Integrate AI solutions into enterprise platforms, APIs, and cloud systems</li><li>Evaluate emerging AI technologies and recommend innovation strategies</li><li>Ensure ethical AI practices, data governance, and compliance standards</li></ul>Requirements:<ul><li>Experience in AI, machine learning, or data science leadership roles</li><li>Strong knowledge of Python, TensorFlow, PyTorch, or similar AI frameworks</li><li>Experience deploying AI models in production environments</li><li>Strong understanding of data engineering, cloud platforms, and APIs</li><li>Experience with NLP, computer vision, or predictive analytics is an advantage</li><li>Strong analytical, problem-solving, and mathematical skills</li><li>Ability to lead technical teams and manage complex AI projects</li><li>Excellent communication and stakeholder management skills</li></ul>Why work with us:<ul><li>Join a leading AI and technology innovation company in Doha</li><li>Opportunity to build next-generation AI-powered solutions and platforms</li><li>Exposure to cutting-edge machine learning and enterprise AI systems</li><li>Strong focus on innovation, scalability, and advanced technology development</li><li>Career growth into Head of AI, Chief Data Officer, or CTO-track roles</li></ul>Pay: QAR22,000.00 - QAR40,000.00 per monthWork Location: In person

Senior AI Solutions Manager

Capital One

<div>Senior Manager, Data Science, Bank Operations
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification, Natural Language Processing of Calls, and operational forecasting. We build ground-breaking industry leading models using emerging technologies like neural networks, LLMs, transformer architectures, and agentic experiences.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You&rsquo;re passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li></ul></li><li>
At least 2 years of experience leveraging open source programming languages for large scale data analysis</li><li>
At least 2 years of experience working with machine learning</li><li>
At least 2 years of experience utilizing relational databases</li></ul>
Preferred Qualifications:<ul><li>
PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience managing people</li><li>
At least 5 years&rsquo; experience in Python, Scala, or R for large scale data analysis</li><li>
At least 5 years&rsquo; experience with machine learning</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science 

New York, NY: $250,800 - $286,200 for Sr Mgr, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Manager, Data Science, Bank Operations

BeOne Medicines

<div>BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.
General Description:
The Global Commercial and Medical Affairs Technology team at BeOne is seeking a Senior Manager, AI implementation to help operationalize AI capabilities across Commercial and Medical teams. This role sits at the intersection of oncology data, customer and patient journey data, GenAI implementation, and enterprise data platforms.
This role will help define the semantic layer over BeOne's commercial and medical data warehouse, ensuring structured and unstructured data assets are described consistently so AI models, RAG experiences, insight engines, and BI layers can leverage the right data with the right context.
The Senior Manager will coordinate with Commercial, Medical, Data Engineering, Data Science, Compliance, Privacy, and field teams to ensure free-text insight collection, RAG chat interfaces, AI-generated outputs, and customer journey solutions are implemented with appropriate guardrails, traceability, and business relevance.
The ideal candidate brings 3-5 years of recent oncology experience focused on patient journeys and patient-level data, strong familiarity with commercial and medical data ecosystems, and a hands-on builder mindset with the ability to write code, explore emerging platforms, and turn AI concepts into practical capabilities that make cross-functional workstreams more efficient.
Key Responsibilities:
Semantic Layer, Data Context &amp; Insight Engine<ul><li>
Lead creation and ongoing governance of a semantic layer on top of the commercial and medical data warehouse, including entities, attributes, definitions, metrics, business rules, relationships, lineage, and data quality expectations.</li><li>
Partner with data engineering, BI, MDM, and business stakeholders to define how patient, HCP, account, field insight, engagement, journey, patient-level, and medical/commercial data assets should be represented for AI use.</li><li>
Translate data definitions and business context into reusable metadata, ontologies, knowledge objects, and retrieval patterns that improve AI model grounding.</li><li>
Support the design of an insight generation engine on top of the data and semantic layers, ensuring outputs are accurate, explainable, timely, and available through the appropriate BI and workflow layers.</li><li>
Define evaluation criteria for data readiness, retrieval quality, insight accuracy, confidence, freshness, source attribution, and business actionability.</li></ul>
Commercial &amp; Medical AI Guardrails<ul><li>
Coordinate across Commercial, Medical, field, compliance, privacy, legal, and technology teams to ensure AI guardrails for free-text inputs and field-collected insights are implemented correctly.</li><li>
Establish practical operating procedures for acceptable use, input validation, sensitive data handling, prompt and response controls, human review, and exception management.</li><li>
Monitor adoption and quality of field insight capture workflows, identifying risks related to incomplete context, inconsistent terminology, duplication, bias, hallucination, or inappropriate data use.</li><li>
Ensure AI outputs appropriately reflect approved data sources, business rules, medical/legal/regulatory considerations, and commercial/medical operating boundaries.</li></ul>
RAG, Chat &amp; Knowledge Retrieval Solutions<ul><li>
Validate and continuously improve RAG-based chat interfaces across Commercial and Medical teams, including source coverage, retrieval performance, answer quality, citation/traceability, feedback loops, and escalation paths.</li><li>
Work with teams to ensure data and unstructured knowledge assets are collected, curated, permissions-aware, and available for use in chat, summarization, insight, and assistant experiences.</li><li>
Partner with data science and engineering teams to refine embeddings, chunking strategies, metadata filters, prompt templates, evaluation datasets, and LLMOps/monitoring capabilities.</li><li>
Design and run testing processes to confirm RAG outputs are accurate, grounded, consistent, and fit for use in business and medical workflows.</li></ul>
AI-Generated Meeting-Ready Outputs<ul><li>
Enhance existing RAG and GenAI models to generate meeting-ready decks, briefs, summaries, talking points, and insight narratives based on unstructured commercial and medical content.</li><li>
Define reusable templates and quality checks for AI-generated presentation materials, including audience, purpose, key message, evidence, caveats, next-best-action, and source attribution.</li><li>
Partner with field, brand, medical, and other commercial teams to connect unstructured content with structured data and BI outputs so meeting materials are timely and decision ready.</li><li>
Drive adoption of automation that reduces manual preparation time while maintaining quality, compliance, and stakeholder trust.</li></ul>
End-to-End Customer Journey &amp; BI Integration<ul><li>
Ensure end-to-end customer and patient journey solutions leverage AI capabilities in the intended manner, grounded in BeOne's data landscape and aligned to priority use cases.</li><li>
Map AI use cases to upstream data sources, semantic definitions, model workflows, BI outputs, CRM/field workflows, and user actions.</li><li>
Partner with Commercial and Medical teams to validate that AI-generated insights are reflected accurately and timely in dashboards, reporting layers, and performance-management routines.</li><li>
Bring oncology patient journey expertise to ensure AI-driven insights are clinically and commercially meaningful, with appropriate granularity and limitations clearly understood.</li></ul>
Hands-on Prototyping &amp; Enterprise Implementation<ul><li>
Write code and build prototypes, scripts, prompts, evaluation harnesses, APIs, or workflow automations to test and accelerate new AI capabilities.</li><li>
Explore emerging AI platforms, data products, and vendor capabilities; recommend practical fit-for-purpose solutions and help transition successful experiments into scalable delivery.</li><li>
Engage with Corporate Affairs, Procurement, Clinical, and other enterprise teams to identify and support AI solutions that improve efficiency in high-value tasks.</li><li>
Produce documentation, training, demos, and user guidance that help teams adopt AI responsibly and effectively.</li><li>
Support roadmap planning, backlog prioritization, vendor coordination, delivery milestones, and measurement of value/impact.</li></ul>
Governance, Security &amp; Compliance<ul><li>
Apply AI governance, model validation/evaluation, data privacy, information security, and regulatory expectations, including HIPAA, GDPR, GxP where applicable.</li><li>
Document model assumptions, source data, prompts, retrieval configurations, known limitations, review controls, and audit trails.</li><li>
Partner with compliance, legal, privacy, and security teams to ensure patient-level data handling, role-based access controls, and promotional/medical content boundaries are respected.</li><li>
Implement monitoring and feedback mechanisms for accuracy, data quality, fairness, hallucination risk, user experience, and operational performance.</li></ul>
Education Required:<ul><li>
Bachelor's degree in AI, Data Science, Computer Science, Engineering, Statistics, Biomedical Informatics, Life Sciences, or a related quantitative/technical field; Master's degree preferred.
</li></ul>Qualifications:
Technical &amp; Domain Expertise<ul><li>
BS Degree with 7+ years of experience across data products, AI/ML, GenAI implementation, data engineering, BI, or commercial/medical technology in enterprise environments.</li><li>
3+ years of recent oncology experience focused on patient journeys, patient-level data, customer/HCP engagement, commercial domain, medical domain, and related domain knowledge.</li><li>
Strong understanding of pharmaceutical/biotech commercial and medical data ecosystems, including patient journey data, field insights, CRM/field activity, medical/commercial knowledge assets, omnichannel engagement, and BI/reporting layers.</li><li>
Experience building or governing semantic layers, data catalogs, business glossaries, metadata frameworks, ontologies, knowledge graphs, or metrics layers for AI use.</li><li>
Hands-on experience with GenAI/RAG concepts, including document ingestion, embeddings, vector databases, retrieval strategies, prompt engineering, grounding, evaluation, monitoring, and guardrails.</li><li>
Coding proficiency in Python and SQL; ability to prototype independently and partner effectively with engineering teams.</li><li>
Experience with data warehouse, lakehouse, and cloud platforms such as Snowflake, Databricks, AWS, Azure, or GCP; experience with BI tools such as Power BI, Tableau, Qlik, or similar preferred.</li><li>
Familiarity with LLMOps/MLOps, APIs, workflow automation, data pipelines, and unstructured data processing.</li><li>
Understanding of data privacy, security, compliance, and responsible AI practices in healthcare/life sciences environments.</li></ul>
Business Acumen &amp; Leadership<ul><li>
Ability to translate ambiguous business needs into practical AI/data products and technical requirements.</li><li>
Strong cross-functional collaboration with Commercial, Medical, field teams, data science, engineering, BI, compliance, privacy, legal, procurement, corporate affairs, clinical, and vendor partners.</li><li>
Executive-ready communication and storytelling skills; ability to explain AI outputs, data limitations, and recommended actions to technical and non-technical audiences.</li><li>
Demonstrated ability to drive adoption, standardization, and change management across matrixed teams.</li><li>
Builder mindset; comfortable testing new tools, writing code, learning quickly, and moving from proof-of-concept to scalable capability.</li><li>
Strong project/product management skills, including prioritization, requirements definition, delivery coordination, and value measurement.</li></ul>
Nice to Have<ul><li>
Advanced degree in AI, data science, biomedical informatics, life sciences, computer science, statistics, engineering, or related field.</li><li>
Experience with oncology product launch, patient-level claims/EHR/EMR data, data tokenization/identity resolution, MDM, or customer 360 capabilities.</li><li>
Experience with automated deck generation, document intelligence, copilot/assistant experiences, or agentic workflows.</li><li>
Experience designing AI evaluation frameworks, prompt libraries, guardrail testing, and monitoring dashboards.</li><li>
Experience in commercial and medical data governance or AI governance committees.</li></ul>
Travel<ul><li>
Estimated 10-15%, primarily for key planning sessions, workshops, stakeholder reviews, or major launch initiatives.</li></ul>
Global Competencies
When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.<ul><li>
Fosters Teamwork</li><li>
Provides and Solicits Honest and Actionable Feedback</li><li>
Self-Awareness</li><li>
Acts Inclusively</li><li>
Demonstrates Initiative</li><li>
Entrepreneurial Mindset</li><li>
Continuous Learning</li><li>
Embraces Change</li><li>
Results-Oriented</li><li>
Analytical Thinking/Data Analysis</li><li>
Financial Excellence</li><li>
Communicates with Clarity</li></ul>
Salary Range: $137,400.00 - $182,400.00 annually
BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.
We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans&rsquo; Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.</div>

Senior Manager, AI Implementations

Altraq Computer Tech

Head of Data ScienceLocation: Salalah, Oman Company: Altraq Computer Tech Position Type: Full-timeAbout Altraq Computer TechAltraq Computer Tech is a technology-driven enterprise based in Salalah, dedicated to advancing digital innovation and data-driven solutions. We are seeking a visionary Head of Data Science to lead our analytics and AI initiatives, ensuring that data insights drive strategic decision-making and innovation across the organization.Role OverviewThe Head of Data Science will be responsible for building and leading a high-performing data science team, developing advanced models, and aligning data strategies with business objectives. This role requires strong technical expertise, leadership, and the ability to transform data into actionable intelligence.Key Responsibilities<ul><li>Data strategy: Define and execute the company&rsquo;s data science roadmap.</li><li>Advanced analytics: Develop predictive and prescriptive models to support business growth.</li><li>Machine learning: Architect and deploy scalable ML solutions.</li><li>Data governance: Ensure data quality, compliance, and ethical use of AI.</li><li>Innovation leadership: Evaluate emerging technologies and drive adoption of cutting-edge tools.</li><li>Collaboration: Partner with stakeholders across IT, product, and business units.</li><li>Team leadership: Build, mentor, and lead a world-class data science team.</li></ul>Qualifications<ul><li>Proven experience as a Head of Data Science or senior data leadership role.</li><li>Strong expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Hands-on experience with cloud data platforms (AWS, Azure, Google Cloud).</li><li>Deep knowledge of data engineering, MLOps, and AI ethics.</li><li>Excellent leadership, communication, and strategic thinking skills.</li><li>Advanced degree (MSc/PhD) in Computer Science, Data Science, or related field preferred.</li><li>Relevant certifications in AI/ML or cloud platforms are highly desirable.</li></ul>Why Join Altraq Computer Tech?<ul><li>Lead transformative data science initiatives in Salalah.</li><li>Work in a collaborative, innovation-driven environment.</li><li>Competitive compensation and benefits.</li><li>Career growth with exposure to cutting-edge data science technologies.</li></ul>Pay: RO2,800.000 - RO4,000.000 per monthWork Location: In person

Head of Data Science

Walmart

<div><h2 class="jobSectionHeader">Position Summary...</h2><h2 class="jobSectionHeader">
What you'll do...</h2><h1 class="jobSectionHeader">
Essential Functions</h1>
 
An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation. 
Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding; 
Precedence and use cases; Business requirements and insights. To collaborate with multiple business stakeholders to gain an understanding of 
complex organizational problems from varied perspectives to create effective technology focused solutions. Influence the business to redefine the 
problem statement. Design multi-stage, data-driven solutions to real-world problems for issues that are amenable to a data-driven solution. Redefine 
data analytics, big data analytics, automation goals, and deliverables by leveraging experience with the business problem. Identify return on 
investment.
 
Understanding Business Context: Requires knowledge of Industry and environmental factors; Common business vernacular; Business practices 
across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth 
knowledge of related practices; Directly relevant business metrics and business areas. To evaluate proposed business cases for projects and 
initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives 
the execution of deliverables. Build and articulate the business case and return on investment and delivers work that has demonstrable value. 
Challenge business assumptions on topics related to one's domain expertise. Mentor the team members on new business insights and allied 
developments. Proactively engage in the external community to build Walmart's brand and learn more about industry practices.
 
Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical 
methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, 
SVM, Random Forest etc.); Multivariate calculus; Statistical models behind standard ML models; Advanced excel techniques and Programming 
languages like R/Python; Basic classical optimization techniques (e.g., Newton-Rapson methods, Gradient descent); Numerical methods of 
optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) To explore and create automated feature generation 
framework. Develop standard EDA process. Develop best practices on experimentation. Drive exploratory work in newer areas of Math, Statistics, 
Machine Learning, and Optimization Techniques. Continuously improve the business's data analysis models. Create industry-leading performance by 
leveraging new and creative data-sources. Employ the latest in machine learning in the department, Scope, design, and implement new machinelearning models to support the business's initiatives and programs with a view of achieving overall objectives and targets. Guide teams in the 
development and delivery of big data predictive technologies models, and fully working prototypes of complex algorithms using readily available 
libraries. Model Assessment and Validation: Requires knowledge of model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root 
mean square error etc.); Impact of variables and features on model performance To identify and review model evaluation metrics based on analytical 
requirements. Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness. Ensure testing information is 
documented and maintained by the team. 
Model Deployment and Scaling: Requires knowledge of impact of variables and features on model performance; understanding of servers, model 
formats to store models. To deploy models or model ensemble and ensure sustainability and maintenance overtime. Implement model monitoring and 
model life-cycle management practices. Assist in creation of innovative user interfaces and support the use of models through collaboration with key 
stakeholders. Code Development and Testing: Requires knowledge of coding languages like SQL, Java, C++, Python and others; Testing methods such as static, 
dynamic, software composition analysis, manual penetration testing and others; Business, domain understanding. To write code to develop the 
required solution and application features by determining the appropriate programming language and leveraging business, technical, and data 
requirements. Create test cases to review and validate the proposed solution design. Create proofs of concept. Test the code using the appropriate 
testing approach. Deploy software to production servers. Contribute code documentation, maintain playbooks, and provide timely progress updates. 
Data Visualization: Requires knowledge of Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for 
example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and 
structures (OABCDE); Communication &amp; influencing technique; Emotional intelligence. To identify and recommend the most suitable visualization 
tools based on context. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design 
appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end 
applications. Define application design based on customer requirements. Build compelling stories based on context to integrate multiple pieces of 
information into cohesive insights. Present to and influence audiences using the appropriate data visualization frameworks and conveys clear 
messages through deep business and stakeholder understanding. Customize communication style based on stakeholders and leverages relationships to drive behavioral change. Guide and mentor junior associates on story types, structures, and techniques based on context. Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate 
application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage 
and Scalability, etc.; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, 
interpret, and apply principles of the defined strategy to complex business problems. Leverage experiences and learnings to inform and influence 
data strategy that typically spans one or more functions or domains. Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing 
business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting 
resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement 
opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning. 
Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting, 
selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and 
existing talent. Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all 
programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy. 
Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading 
key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate 
business plans and initiatives; and supporting associate efforts in these areas.
<h1 class="jobSectionHeader">Leadership Expectations</h1>
 
Respect the Individual:Builds high-performing teams; seeks, and embraces differences in people, cultures, ideas and experiences; creates a 
workplace where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive 
associate and customer/member experience for all. Respect the Individual:Creates a discipline and focus around developing talent through feedback, coaching, mentoring, and developmental 
opportunities; builds the talent pipeline, fosters an environment allowing everyone to bring their best selves to work, empowers associates and 
partners to act in the best interest of the customer and company, and regularly recognizes others&rsquo; contributions and accomplishments; supports 
strategies and drives initiatives that attract and retain the best talent. Respect the Individual:Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally 
to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action. Act with Integrity:Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example 
to foster our culture; supports Walmart&rsquo;s goal of becoming a regenerative company by taking action to advance opportunity, sustainability, community, 
and integrity (e.g., creating fair opportunities for associates and suppliers, driving local giving efforts). Act with Integrity:Ensures that teams follow the law, our code of conduct and company policies; promotes an environment where associates feel 
comfortable sharing concerns and models our culture of non-retaliation; listens to concerns raised by associates and takes action and enables others 
to do the same; holds self and teams accountable for achieving results in a way that is consistent with our values. Act with Integrity:Acts as an altruistic servant leader and is consistently humble, self-aware. Serve our Customers and Members:Delivers expected business results while putting the customer/member first and consistently applying an omnimerchant mindset and acting with an Every Day Low-Cost mindset to drive value and Every Day Low Prices for customers/members. Serve our Customers and Members:Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the 
business when making plans and implementing strategies. Strive for Excellence:Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful 
questions, and fosters an environment that supports learning, innovation, learning from mistakes, and intelligent risk-taking; and exhibits resilience in 
the face of setbacks. Strive for Excellence:Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with 
Walmart&rsquo;s business model.
<h1 class="jobSectionHeader">Physical Activities</h1>
 
The following physical activities are necessary to perform one or more essential functions of this position.
<ul><li>Reads information, often in small print.</li><li>
Visually verifies information, often in small print.</li><li>
Communicates effectively in person or by using telecommunications equipment.</li><li>
Creates documents, reports, etc., using a writing instrument (such as a pencil or pen) or electronic device.</li><li>
Enters and locates information on electronic device.</li><li>
Presents information to small or large groups and individuals.</li><li>
Observes associate, customer, or supplier behavior.</li></ul><h1 class="jobSectionHeader"> 

Travel</h1>
 
Traveling is necessary to perform one or more essential functions of this position.
<ul><li>Travels internationally to and from multiple facilities or work-sites requiring extended overnight stay</li></ul>
<h1 class="jobSectionHeader">Preferred Qualifications</h1>
<ul><li>PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or</li><li>
related field.</li><li>
10 years' experience in data science, machine learning, optimization models, or related field.</li><li>
Successful completion of one or more assessments in Python, Spark, Scala, or R.</li><li>
8 years&rsquo; experience using open source frameworks (for example, scikit learn, tensorflow, torch).</li><li>
5 years' supervisory experience.</li><li>
We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content</li><li>
Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate</li><li>
would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s</li><li>
accessibility standards and guidelines for supporting an inclusive culture.</li></ul>
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
 
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
 
For information about benefits and eligibility, see One.Walmart.
 
The annual salary range for this position is $160,000.00 - $320,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
 
<ul><li>Stock</li></ul>
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&lrm;<h2 class="jobSectionHeader">
Minimum Qualifications...</h2>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor&rsquo;s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7 
years' experience in an analytics related field. Option 2: Master&rsquo;s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, 
Information Technology or related field and 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or related 
field. 
3 years' supervisory experience.<h2 class="jobSectionHeader">
Preferred Qualifications...</h2>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<h2 class="jobSectionHeader">
Primary Location...</h2>
2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Senior Director, Data Science

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