data science team lead

Univision Communications Inc

<div>TelevisaUnivision is the leading Spanish-language media company in the world! We&rsquo;re investing in our content, our people, and our properties, which span digital, streaming, social, audio, linear, and live events. We&rsquo;re growing our offerings, building on the success of our streaming platform, ViX.
TelevisaUnivision is seeking a Director of Data Science, Graph and Insights to join our Data Science and Engineering team. This team serves as the organization&rsquo;s center of excellence for advanced analytics and data science, providing innovative data products, scalable analytical solutions, and actionable insights that drive strategic business decisions across the enterprise. The team is responsible for building and enhancing large-scale, high-performance systems that organize and activate data from multiple platforms while developing advanced statistical models and proprietary data assets that power advertising, audience intelligence, personalization, and product innovation.
This team owns several of the company&rsquo;s most valuable data assets, including our Hispanic Household Graph, household and identity graph solutions, entity resolution capabilities across multiple identity providers, conflict resolution methodologies, proprietary audience segments, and strategic partnerships that expand TelevisaUnivision&rsquo;s data ecosystem and enable new data-driven products and services.
The Director of Data Science, Graph and Insights will lead the strategy, development, and continuous evolution of TelevisaUnivision&rsquo;s household and identity graph capabilities. This leader will be responsible for advancing the quality, scalability, and business value of our proprietary graph assets through statistical modeling, algorithm development, identity resolution, and integration of first- and third-party datasets. The Director will establish technical direction, prioritize initiatives, and partner closely with senior leaders across Product, Engineering, Data Engineering, Marketing, Research, and Ad Sales to ensure our graph capabilities continue to drive competitive advantage.
This is a player-coach leadership role, balancing strategic leadership with hands-on technical contributions. The Director will mentor and develop a team of data scientists while remaining actively involved in solving complex technical challenges, guiding architectural decisions, and delivering high-impact analytical solutions.
A successful candidate will be an integral leader within the Enterprise Data organization and a trusted partner to stakeholders across the company. This individual will build and develop a high-performing data science team through coaching, technical leadership, and operational excellence while fostering collaboration across the broader data organization to deliver innovative data products and measurable business impact.
YOUR DAY-DAY: (aka Responsibilities)<ul><li>
Lead the vision, roadmap, and execution strategy for TelevisaUnivision&rsquo;s household and identity graph capabilities.</li><li>
Manage, coach, mentor, and develop a high-performing team of data scientists, fostering a culture of innovation, technical excellence, collaboration, and continuous learning.</li><li>
Establish technical direction and best practices for graph science, identity resolution, statistical modeling, and machine learning initiatives.</li><li>
Own and continuously improve household and identity graph assets, including entity resolution frameworks, conflict resolution methodologies, audience segmentation, and graph enrichment strategies.</li><li>
Evaluate, validate, integrate, and optimize new first-party and third-party data sources to strengthen graph quality and business value.</li><li>
Apply advanced statistical techniques, machine learning, and algorithmic modeling to improve graph accuracy, audience understanding, and identity resolution.</li><li>
Partner closely with Product, Engineering, Data Engineering, Marketing, Research, and Ad Sales leaders to prioritize initiatives that support strategic business objectives.</li><li>
Translate complex analytical findings into actionable recommendations that influence executive decision-making and product strategy.</li><li>
Drive the development of scalable data science solutions that improve audience intelligence, advertising capabilities, and customer experiences.</li><li>
Define success metrics, monitor performance, and continuously improve graph quality, operational efficiency, and business outcomes.</li><li>
Lead multiple high-impact initiatives simultaneously while balancing long-term strategic investments with immediate business priorities.</li><li>
Serve as the technical leader and subject matter expert for Graph and Insights across the organization.</li><li>
Foster strong cross-functional relationships and influence technical and business decisions across a highly matrixed organization.</li><li>
Remain hands-on with complex technical work where appropriate while empowering team members through effective delegation and coaching.</li></ul>
YOU HAVE: (Required Skills, Qualifications and Experience)<ul><li>
8+ years of experience in Data Science, Applied Statistics, Machine Learning, or a related quantitative field.</li><li>
3+ years of experience leading, managing, mentoring, and developing technical teams.</li><li>
Demonstrated experience leading large-scale data science initiatives from concept through production.</li><li>
Proven experience defining technical strategy and influencing cross-functional business and technology decisions.</li><li>
Strong expertise in statistical modeling, machine learning, graph-based analytics, and quantitative methodologies.</li><li>
Advanced proficiency in Python.</li><li>
Advanced proficiency in SQL.</li><li>
Experience working with large-scale cloud-based data warehouse environments such as BigQuery or Snowflake.</li><li>
Experience conducting complex analyses that drive measurable business impact.</li><li>
Proven ability to communicate technical concepts effectively to both technical and executive audiences.</li><li>
Demonstrated success managing multiple complex initiatives and competing priorities in a fast-paced environment.</li><li>
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Data Science, or another quantitative discipline.</li></ul>
Desired Skills, Qualifications and Experience<ul><li>
Experience building pseudonymous identity frameworks leveraging device graphs.</li><li>
Experience with household graphs, identity graphs, entity resolution, or conflict resolution frameworks.</li><li>
Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, Engineering, Data Science, or another quantitative discipline.</li><li>
Experience working with very large datasets and distributed data processing environments.</li><li>
Experience developing proprietary data products that support advertising technology, personalization, customer analytics, or audience measurement.</li><li>
Demonstrated ability to influence senior leaders and drive alignment across highly matrixed organizations.</li><li>
Strong strategic thinking and business acumen with the ability to translate business priorities into scalable data science solutions.</li><li>
Strong relationship-building, coaching, and leadership skills.</li><li>
Excellent written, verbal, and presentation communication skills.</li><li>
Ability to thrive in a rapidly changing, high-growth environment while balancing strategic priorities and execution.</li><li>
Full professional proficiency in English and either professional Spanish proficiency or the desire to become proficient in Spanish.</li><li>
Knowledge of and active interest in TelevisaUnivision content is a plus.</li></ul>
ELIGIBILITY REQUIREMENTS<ul><li>
Must be willing to work in the US</li><li>
Employment/education will be verified</li><li>
Applicants must be currently authorized to work in the United States on a full-time basis</li></ul>
OUR BENEFITS:
TelevisaUnivision believes that a happy, well-balanced employee is what makes our culture thrive. We offer a wide selection of perks and benefits including PTO; tuition reimbursement; wellness and employee support programs; 401K; and life and other insurance plans. This is all in addition to our comprehensive and competitive health benefits package featuring medical, dental and vision coverage options.
TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law.</div>

Director, Data Science - Graph & Insights

Select Minds LLC

<div><div><div>Benefits:</div>
<ul><li>HYBRID</li>
<li>Competitive salary</li>
<li>Opportunity for advancement</li>
</ul></div><div><div>Technical Project Manager | Data Engineering &amp; Data Science 
Location: Dallas, TX Hybrid (Onsite + Remote) 
Employment Type: Full Time / Contract (W2) 
Duration: 12+ Months (Ongoing) 
Cloud Environment: Amazon Web Services (AWS) 
Team Structure: US Onsite Teams and Offshore GCC Teams 
Compensation: Competitive Market Rate
 
 
We are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment. 
 
In this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery. 
 
Required Qualifications 
 
Technical Skills 
<ul><li>Experience managing Data Engineering and/or Data Science projects</li><li>Strong understanding of AWS data services: Amazon S3 &bull; AWS Glue &bull; Amazon Redshift &bull; Amazon EMR &bull; Amazon Athena &bull; Amazon SageMaker &bull; AWS Lambda &bull; AWS Step Functions</li><li>Knowledge of ETL/ELT frameworks and modern data pipeline architecture</li><li>Familiarity with Machine Learning lifecycle management</li><li>Experience with Agile delivery methodologies (Scrum or SAFe)</li><li>Experience using Jira, Confluence, or similar project management tools</li><li>Understanding of cloud security, data governance, and data quality best practices</li></ul> 

Project Management 
<ul><li>Experience managing complex enterprise technology programs</li><li>Experience coordinating onsite and offshore GCC teams</li><li>Strong skills in project planning, dependency management, risk management, and stakeholder communication</li><li>Ability to communicate technical concepts effectively to executive leadership</li></ul> 

Professional Skills 
<ul><li>Excellent verbal and written communication</li><li>Strong organizational and planning abilities</li><li>Ability to manage multiple priorities in a fast-paced environment</li><li>Comfortable working with cross-functional and multicultural teams</li></ul> 

Key Responsibilities 
 
Project Delivery 
<ul><li>Lead end-to-end delivery of Data Engineering and Data Science initiatives</li><li>Define project scope, timelines, milestones, and success metrics</li><li>Manage project plans, RAID logs, risk registers, and executive status reporting</li><li>Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives</li></ul> 

Offshore Team Coordination 
<ul><li>Serve as the primary liaison between onsite stakeholders and offshore GCC teams</li><li>Coordinate work across multiple time zones</li><li>Manage resource planning, priorities, escalations, and delivery governance</li><li>Ensure transparency and accountability across distributed teams</li></ul> 

Technical Leadership 
 
AWS Technologies: Amazon S3 &bull; AWS Glue &bull; Amazon Redshift &bull; Amazon EMR &bull; AWS Lambda &bull; Amazon SageMaker &bull; Amazon Athena &bull; AWS Step Functions 
 
Additional responsibilities include: 
<ul><li>Partner with Data Engineers and Data Scientists</li><li>Support architecture reviews and data pipeline planning</li><li>Coordinate Machine Learning model deployments</li><li>Ensure compliance with cloud security, data governance, and data quality standards</li></ul> 

Stakeholder Management 
<ul><li>Present project updates to executive leadership</li><li>Act as the primary point of contact for business and technology stakeholders</li><li>Identify project risks and drive mitigation plans</li><li>Facilitate collaboration across Engineering, Analytics, Operations, and IT teams</li></ul> 

Preferred Qualifications 
Certifications : PMP &bull; PMI-ACP &bull; Certified Scrum Master (CSM) &bull; SAFe &bull; AWS Cloud Practitioner &bull; AWS Solutions Architect 
Industry Experience :Commercial Airlines &bull; Travel &bull; Transportation &bull; Logistics 
Additional Technical Experience : Kafka &bull; Amazon Kinesis &bull; Tableau &bull; Amazon QuickSight &bull; Microsoft Power BI &bull; DataOps &bull; MLOps 
Domain Knowledge :Passenger Operations &bull; Revenue Management &bull; Fleet Analytics &bull; Loyalty Programs 
 
Before You Apply 
Please ensure you meet most of the following qualifications: 
<ul><li>Experience managing Data Engineering or Data Science programs</li><li>Strong understanding of AWS data services</li><li>Experience leading Agile project teams</li><li>Experience coordinating onsite and offshore teams</li><li>Strong stakeholder management and executive communication skills</li><li>Ability to work in a Hybrid environment</li><li>Valid authorization to work in the United States under one of the accepted work authorization categories</li></ul></div>
</div>
Flexible work from home options available.</div>

Technical Project Manager Data Engineering Data Science

Vibrant Emotional Health

<div>Department: Technology
 
Reports to: Chief Technology Officer
 
Travel: ~10%
Salary Range: $180,000 - $200,000
Vibrant Emotional Health&rsquo;s groundbreaking solutions have delivered high quality services and support, when, where and how people need it for over 50 years. Through our state-of-the-art technology-enabled services, community wellness programs, and advocacy and education work, we are building a society in which emotional wellness can be a reality for everyone.
Position Overview:
The Assistant Vice President, Data is a senior enterprise data leadership role within Vibrant's Data Pillar, responsible for unifying and leading Vibrant's full data capability - spanning analytics and reporting, data science, machine learning, and AI. Reporting directly to the Chief Technology Officer, this leader serves as the single accountable executive for Vibrant's entire data function during an intentional consolidation phase designed to build integrated data maturity before the function expands into two distinct leadership tracks.
 
 
In this role, the AVP, Data ensures that Vibrant's analytics infrastructure, machine learning programs, AI adoption, and data governance operate as a coherent ecosystem. The AVP partners with program leadership and staff as well as Vibrant's executive team to deliver data products, predictive models, and responsible AI capabilities that directly improve outcomes for people in crisis.
Duties/Responsibilities:
<ul><li>Define and lead an integrated data strategy spanning analytics &amp; reporting, data science, machine learning, and AI - aligned to Vibrant's goals and program priorities. Serve as Vibrant's senior data executive: advising the CTO, executive leadership, and the Board on data capabilities, AI adoption, and investment priorities.</li>
<li>Build and manage the departmental roadmap, establishing the organizational architecture and roal definitions. Lead Vibrant's data governance council responsibilities, including oversight of data standards, KPI frameworks, and program data sharing requirements.</li>
<li>Own budget planning, tracking, and forecasting for the Data function, ensuring spend aligns with approved FY budgets, funding stream requirements, and grant compliance obligations</li>
<li>Manage the AI use approval pipeline with internal and external leadershipo: preparing documentation, use case justifications, and responsible AI assessments for all AI/ML deployments under the cooperative agreement.</li>
<li>Lead the strategy, architecture, and delivery of Vibrant's enterprise analytics and reporting platform, supporting operational, compliance, and strategic reporting needs across programs and corporate functions.</li>
<li>Ensure delivery of program-required reporting, including automated dashboards for network operational and quality metrics, crisis contact center performance reporting, and federally mandated data submissions.</li>
<li>Design and deliver executive dashboards and performance scorecards for Vibrant's leadership team, Board of Directors, and crisis center network.</li>
<li>Own the data governance framework for reporting outputs: data definitions, lineage documentation, and quality assurance protocols.</li>
<li>Evaluate and implement BI and analytics tooling (e.g., Tableau, Power BI, Looker) to modernize Vibrant's reporting infrastructure.</li>
<li>Lead Vibrant's response to audit and compliance data requests, including federal OIG reviews and GAO inquiries.</li>
<li>Champion data accessibility and health equity analytics across Vibrant's programs, ensuring disaggregated reporting by race, ethnicity, geography, and other equity dimensions.</li>
<li>Oversee development and deployment of machine learning models across use cases including crisis risk stratification, call routing optimization, quality assurance automation, NLP-driven conversation analytics, and population health analytics.</li>
<li>Establish responsible AI governance frameworks, including bias auditing, model explainability, and ethical review protocols appropriate for behavioral health contexts and required by the program.</li>
<li>Partner with the peers to advance the research agenda, maintain scientific standards, and translate research findings into production-ready models.</li>
<li>Evaluate and integrate emerging AI technologies - including large language models and generative AI - with appropriate rigor, human-in-the-loop safeguards, and program approvals for mission-critical applications.</li>
<li>Ensure all AI/ML systems meet regulatory requirements.</li>
<li>Build, develop, and retain a high-performing data organization spanning Analytics &amp; Reporting, Data Science, ML Engineering, MLOps, AI Ethics, Data Quality, and Data Governance functions.</li>
<li>Manage and mentor direct reportsManage the analytics and data science product roadmap in partnership with internal teams, ensuring data investments are sequenced against program stakeholder needs and regulatory requirements.</li>
<li>Represent Vibrant's data and AI capabilities in external partner engagements, grant applications, and public health research contexts.</li>
<li>Other duties as assigned.</li>
</ul>Required Skills/Abilities:
<ul><li>Executive-level experience defining and executing integrated data strategies spanning analytics, business intelligence, data science, and AI within complex, mission-driven organizations.
</li><li>Deep expertise in enterprise analytics, BI platform architecture, and modern data stack technologies (e.g., dbt , Snowflake, Tableau/Power BI/Looker).
</li><li>Strong command of data science and machine learning: proficiency in Python-based ML ecosystems (scikit-learn, PyTorch, Hugging Face), end-to-end model lifecycle management, NLP, and responsible AI.
</li><li>Proven ability to build, scale, and lead high-performing multidisciplinary data teams across analytics, data science, and ML engineering functions.
</li><li>Demonstrated experience establishing responsible AI frameworks - bias detection, model explainability, and ethical review - in high-stakes, human-centered environments.
</li><li>Strong understanding of HIPAA, 42 CFR Part 2, federal data governance requirements, and AI compliance in health and human services contexts.
</li><li>Ability to translate complex data and AI concepts into clear, actionable insights for executive leadership, Board members, federal partners, and non-technical stakeholders.
</li><li>Experience partnering cross-functionally with Product, Engineering, Legal, and Compliance teams to govern and deploy data and AI capabilities responsibly.
</li><li>Demonstrated commitment to advancing health equity analytics, inclusive data practices, and mission-aligned AI adoption.
</li></ul>Required Qualifications:
<ul><li>12+ years of progressive experience in analytics, data science, or data leadership roles, with at least 5 years in a senior leadership capacity with direct accountability for both analytics and data science or ML functions.
</li><li>Bachelor's degree in a quantitative field required; Master's degree or higher preferred (Computer Science, Statistics, Data Science, Public Health, or related field).
</li><li>Demonstrated experience leading programs, teams, or operational units across multiple data disciplines, with accountability for project execution, team performance, and cross-functional delivery.
</li><li>Deep expertise in BI platforms (Tableau, Power BI, Looker, or equivalent), modern data stack technologies (dbt, Snowflake, BigQuery), and ML/AI frameworks (PyTorch, scikit-learn, Hugging Face, or equivalent).
</li><li>Proven track record building enterprise data infrastructure and applied AI/ML programs in complex, regulated environments.
</li><li>Experience in mission-driven, nonprofit, healthcare, government, or other highly regulated environments, with familiarity in compliance-driven reporting and data governance frameworks preferred.
</li><li>Experience with SAMHSA-funded programs, federal cooperative agreements, or similarly regulated grant environments strongly preferred.
</li></ul>Physical Requirements:
<ul><li>Must be able to remain in a stationary position at least 50% of the time</li>
<li>Will constantly operate a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer</li>
<li>Will frequently communicate over video calls with internal and external stakeholders</li></ul> 
We determine base pay through a comprehensive review of skills, experience, education, certifications, geographic location, and other relevant factors. The range listed reflects the compensation parameters for the role and does not represent the full compensation package. A complete overview of compensation and benefits will be provided by the Talent Acquisition team during the hiring process.
Full time employees will be eligible for excellent comprehensive benefits, including medical, dental, vision, supplemental income insurance, employer paid disability insurance, employer paid life insurance, pre-tax FSA for medical and dependent care, and 401K available.
Studies have shown that women and people of color are less likely to apply for jobs unless they believe they are able to perform every task in the job description. We are most interested in finding the best candidate for the job, and that candidate may be one who comes from a less traditional background. Vibrant will consider any equivalent combination of knowledge, skills, education and experience to meet minimum qualifications. If you are interested in applying, we encourage you to think broadly about your background and skill set for the role.
Vibrant Emotional Health is an equal opportunity employer. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, creed, color, religion, gender, gender identity, sex, sexual orientation, citizenship status, national origin, marital status, age, physical or mental disability, genetic information, caregiver status or any other category protected by applicable federal, state or local laws.
Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Vibrant does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted on our careers page and all communications from the Vibrant recruiting team and/or hiring managers will be from an @vibrant.org email address.</div>

Assistant Vice President, Data

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader">Summary</h2></div><div>
The Michael E. DeBakey Department of Surgery at the Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor &ndash; Data Scientist would serve as scientific lead with Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program to develop innovative AI applications in surgery and healthcare. The work spans AI applications in healthcare including machine vision, robotics, image analysis, natural language processing, and predictive modeling. 
Under this role, the Assistant Professor will work with a team of post-doctoral computer scientists and engineers on NIH-funded research projects. The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance. The Assistant Professor will interact directly with postdoctoral fellows, graduate students, and medical students.</div></div><div><div><h2 class="jobSectionHeader">
Job Duties</h2></div><div><ul><li>
Oversee and coordinate logistics and execution of various research projects.</li><li>
Manage project progress and execution of project goals and milestones.</li><li>
Plan and direct research experiments.</li><li>
Organize, evaluate, and analyze data with other researchers.</li><li>
Develop research techniques and perform applications required for specific research projects.</li><li>
Conduct literature searches and summarize information in an appropriate format for a particular study.</li><li>
Document results of experiments and reports to principal investigators.</li><li>
Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.</li><li>
Write progress reports, manuscripts and grant proposals.</li><li>
Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.</li><li>
Supervise research staff including graduate and undergraduate students.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Minimum Qualifications</h2></div><div><ul><li>
Ph.D. in computer science, data science, medical informatics, or related field.</li><li>
Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.</li></ul></div></div></div> 
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</div>

Assistant Professor - Artificial Intelligence and Data Scientist

Three Dimension Physical Performance

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

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

Sports Scientist and Data Analyst

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
<div><h2 class="jobSectionHeader">Data Science and Artificial Intelligence Group Manager (Senior Vice President)</h2>
<h2 class="jobSectionHeader">About the Role</h2>
We are looking for a seasoned, technically deep, and strategically minded leader to drive one of the most impactful analytics functions within our US Consumer Cards business. This role sits at the intersection of advanced data science, model governance, financial intelligence, and Generative AI &mdash; with end-to-end accountability across high-visibility initiatives that shape business strategy, regulatory standing, and customer outcomes at scale.
You will lead a high-performing, multi-geography team, influence senior stakeholders across Marketing, Finance, Risk, Legal, and Technology, and deliver outcomes spanning revenue growth, expense savings, compliance transformation, and enterprise AI innovation.
<h2 class="jobSectionHeader">What You'll Own</h2>
1. Existing Customer Analytics &amp; Campaign Modeling Lead end-to-end modeling for existing customer strategies powering large-scale direct mail and digital campaigns &mdash; core growth levers embedded in the operating plan that translate analytical rigor into measurable business performance.
2. Model Risk &amp; Regulatory Compliance Own a firm-wide model risk remediation program covering a large portfolio of models. A board- and regulator-facing priority requiring continuous senior ownership, credit bureau attribute remediation, and full regulatory compliance.
3. Financial Forecasting &amp; Reserve Modeling Develop next-generation financial models feeding directly into multi-year strategic plans and mid-year forecasts. Your work will reduce reserve volatility, sharpen financial controls accuracy, and inform CFO-level planning decisions.
4. Generative AI Innovation Lead the development of a GenAI-powered customer communication model, positioning the team at the forefront of the firm's enterprise AI transformation agenda.
<h2 class="jobSectionHeader">Responsibilities</h2>
Analytics &amp; Model Leadership
<ul><li>Lead and direct distributed teams of data scientists and analytics professionals across geographies &mdash; covering performance management, hiring, development, and budget oversight</li>
<li>Own the design, development, and governance of predictive models and ML solutions that inform business strategy and financial planning</li>
<li>Drive model risk remediation, including resolution of regulatory findings, credit bureau attribute gaps, and model redevelopment in compliance with Model Risk Policy</li>
<li>Develop advanced financial forecasting models with vintage-level granularity to support accurate multi-year product-level planning</li>
<li>Build and enhance reserve models that improve financial controls accuracy and reduce volatility</li>
<li>Leverage large, complex internal and external datasets using advanced statistical techniques, ML algorithms, and visualization tools to drive strategic decisions</li>
<li>Serve as Model Sponsor Delegate &mdash; accountable for formal model governance, sign-off, and oversight across a large model portfolio</li>
</ul>AI Innovation &amp; Solution Development
<ul><li>Drive AI-led analytics solutions for key business problems &mdash; including Personalized Next Best Action decisioning engines, Campaign Analytics Platforms, and Conversational &amp; Contextual Business Insights. Own the full AI solution lifecycle from concept to production</li>
<li>Partner with stakeholders across business and technology functions to architect, prototype, and deploy scalable AI solutions that deliver measurable business impact</li>
<li>Collaborate directly with business and technology teams to jointly develop high-impact AI solutions, combining technical expertise with business acumen to address complex, cross-functional challenges</li>
<li>Conceptualize AI-powered automation and tools that accelerate internal analytics workflows and drive productivity &mdash; creating innovative solutions that streamline processes and enhance analytical capabilities across the organization</li>
<li>Lead the evolution of AI-enhanced modeling techniques to accelerate development cycles and improve analytical precision</li>
</ul>AI Governance &amp; Controls
<ul><li>Operationalize AI governance standards ensuring model explainability, responsible deployment, regulatory compliance, and full adherence to Model Risk Management guidelines</li>
<li>Ensure teams partner with and follow control processes across Information Security, Platform Security, and Data Security while executing on next-generation re-engineering of business, data, and AI processes</li>
<li>Engage and influence multiple Managing Director&ndash;level stakeholders across Marketing, Finance, Technology, Model Risk Management, Fair Lending, and Legal</li>
<li>Ensure all analytical work adheres to applicable laws, regulations, fair lending obligations, and internal policy; proactively escalate and manage risk with full transparency</li>
</ul>Strategy, Partnerships &amp; Team Building
<ul><li>Work in partnership with business stakeholders and Analytics teams to identify, prioritize, and deliver high-impact AI solutions &mdash; building trusted partnerships that enable rapid alignment, efficient resource deployment, and direct impact on critical business needs</li>
<li>Establish and lead a specialized team equipped to deliver enterprise-grade AI solutions; recruit top talent, foster a culture of innovation and experimentation, and drive non-linear outcomes</li>
<li>Deliver value beyond arbitrage by establishing productivity and innovation measurement frameworks that track outcomes across business deliverables and team performance &mdash; aligned with senior leadership priorities</li>
</ul><h2 class="jobSectionHeader">Qualifications</h2>
Experience &amp; Expertise
<ul><li>10+ years in data science, quantitative analytics, or financial modeling within financial services</li>
<li>Expertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategy</li>
<li>Proven track record in model risk management, regulatory remediation, or formal model governance</li>
<li>Deep experience in financial forecasting, reserve modeling, or FP&amp;A-aligned analytics</li>
<li>Experience with Generative AI and Large Language Models (LLMs) in applied business contexts</li>
<li>Strong background in credit risk, marketing analytics, or existing customer management</li>
<li>Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution</li>
</ul>Technical Skills
<ul><li>Advanced AI/ML proficiency &mdash; Generative AI, supervised/unsupervised learning, optimization, and time-series forecasting</li>
<li>Expertise in data engineering and big data platforms</li>
<li>Proficiency in Python, SQL, and data visualization tools</li>
<li>Familiarity with SDLC, version control (Bitbucket/GitHub), and JIRA</li>
<li>Knowledge of Deep Learning, Machine Learning, regression, decision trees, A/B testing, and business statistics</li>
<li>Knowledge of big data, distributed computing, Python, Spark, SQL, Excel, and MLOps</li>
<li>Knowledge of Generative AI, Retrieval-Augmented Generation (RAGs), Agentic AI, and Large Language Models (LLMs)</li>
<li>Knowledge of Model Risk Management frameworks, model accuracy metrics, ECOA, banking regulations, and Fair Lending rules; working knowledge of SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, and ECOA in the context of AI/ML model deployment within a regulated financial institution</li>
</ul>Leadership &amp; Communication
<ul><li>Proven ability to lead and inspire distributed, cross-functional teams</li>
<li>Exceptional stakeholder management &mdash; able to engage, influence, and negotiate at the Managing Director level</li>
<li>Strong project management across complex, multi-workstream programs with regulatory and executive timelines</li>
<li>Ability to translate technical complexity into clear, compelling narratives for senior business audiences</li>
<li>Analytically creative problem-solver who thrives in ambiguous, high-stakes environments</li>
<li>Strong storyboarding, PowerPoint, and executive deck creation skills &mdash; able to distill complex analytical insights into crisp, board-ready presentations</li>
</ul><h2 class="jobSectionHeader">Education</h2>
<ul><li>Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or Economics) required</li>
<li>Master's degree or Ph.D. strongly preferred</li>
</ul>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
</div>-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Decision Management
-
<h2 class="jobSectionHeader">Job Family:</h2>
Specialized Analytics (Data Science/Computational Statistics)
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Primary Location:</h2>
New York New York United States
-
<h2 class="jobSectionHeader">Primary Location Full Time Salary Range:</h2>
$192,000.00 - $288,000.00 
 
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.
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
<h2 class="jobSectionHeader">Anticipated Posting Close Date:</h2>
Aug 05, 2026
-
<h2 class="jobSectionHeader">Automated Processing and AI</h2> 
 
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents &ndash; AI Notice and Right
-
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.</div>

Senior Vice President - Data Science and Artificial Intelligence Group Manager - Hybrid

Search 10000+ Data science team lead jobs near you this August. New roles added regularly across leading industries. Apply today.