data science manager

Work From Home

<div><h5 class="jobSectionHeader">Introduction</h5>
Do you want to join an organization that invests in you as a Data Science Manager? At HCA, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.<h5 class="jobSectionHeader">
Benefits</h5>
HCA offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:<ul><li>
Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.</li><li>
Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.</li><li>
Free counseling services and resources for emotional, physical and financial wellbeing 
</li><li>
401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service) 
</li><li>
Employee Stock Purchase Plan with 10% off HCA Healthcare stock 
</li><li>
Family support through fertility and family building benefits with Progyny and adoption assistance. 
</li><li>
Referral services for child, elder and pet care, home and auto repair, event planning and more 
</li><li>
Consumer discounts through Abenity and Consumer Discounts 
</li><li>
Retirement readiness, rollover assistance services and preferred banking partnerships 
</li><li>
Education assistance (tuition, student loan, certification support, dependent scholarships) 
</li><li>
Colleague recognition program 
</li><li>
Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence) 
</li><li>
Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.</li></ul>
Learn more about Employee Benefits
Note: Eligibility for benefits may vary by location. 
You contribute to our success. Every role has an impact on our patients&rsquo; lives and you have the opportunity to make a difference. We are looking for a dedicated Data Science Manager WFH like you to be a part of our team.<h5 class="jobSectionHeader">
Job Summary and Qualifications</h5>
At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA&rsquo;s Care Transformation and Innovation (CT&amp;I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.
The Manager, Data Science is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. This person engages with department leadership to understand strategy to align long term data science initiatives and budgets with product roadmaps and business requirements. This person guides planning, development, and implementation of components with the Data Science team.
This role is expected to drive a positive change throughout the organization (both Business and Technology) and is expected to show empathy for the stakeholders and build products which deliver a delightful experience.
What You'll Do:<ul><li>
AGILE AND VALUE BASED DELIVERY: Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring. Responsible for team level OKRs related to product modules and agile delivery.</li><li>
FRAMEWORK, TOOLING, AND BEST PRACTICES: Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices that produce maintainable code, automated testing, and CI/CD. Enable good developer experience in code-centric and low-code environments.</li><li>
CODE AND DELIVERABLE QUALITY: Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs (both functional and non-functional)</li><li>
LEADERSHIP: Manage, mentor, and coordinate the team of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations. Facilitate the team to master full stack technical capabilities. Deep dive with Data Scientists on the design and performance of AI services. Explain data science approach and results to Business and IT stakeholders in understandable terms.</li><li>
STRATEGIC LEADERSHIP: Actively participate in the development of the company's data science strategy and roadmap, working closely with senior leadership.</li><li>
DOMAIN LEADERSHIP: Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to CT&amp;I.</li><li>
PRODUCT DEVELOPMENT MINDSET: Communicate with senior management and stakeholders to ensure alignment of goals and priorities through an unrelenting focus on end users. Develop and track data product OKRs for measurable value creation for the enterprise.</li></ul><h6 class="jobSectionHeader">
What qualifications you will need:</h6><ul><li>
Bachelor&rsquo;s Degree in Computer Science or related field</li><li>
4+ years of overall experience in various aspects of data science and machine learning with demonstrated progressive responsibilities; particularly in Predictive Modeling, Optimization and/or Operations Research</li><li>
Expert experience in SQL and Python</li><li>
Experience with structured and unstructured data (ie. tabular, text, images, video, etc)</li><li>
Experience with SQL relational and non-relational databases</li><li>
Experience with data processing and ETL tools (e.g Apache Spark)</li><li>
Experience with data visualization and data monitoring tools</li><li>
Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker</li><li>
Experience with cloud deployments in GCP or another cloud platform</li><li>
Experience with Agile development methods and tools (e.g. Azure Dev Ops)</li><li>
Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders</li><li>
Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams</li><li>
Ability to tell a story using data and insights that drives action and change</li><li>
Demonstrated leadership in a fast-paced environment with decisiveness, consensus-building, empathy and kindness</li></ul>
Preferred Requirements<ul><li>
Masters/PhD Degree in Computer Science or related field</li><li>
Healthcare domain knowledge and experience</li><li>
Strong project management skills with the ability to manage multiple projects simultaneously</li><li>
Agile Delivery, Product Management or Scrum Master certifications</li><li>
Experience managing and unblocking teams in GCP platform</li></ul>
Work Location/Schedule:<ul><li>
Must reside in or be willing to relocate to Nashville, TN, Orlando, FL, or Austin, TX</li><li>
WFH: M-F</li></ul>
Travel:<ul><li>
The job may require travel from time-to-time, but not on a regular basis.</li></ul>
Visa Sponsorship: 
<ul><li>
Not Offered</li></ul> 
&quot;Good people beget good people.&quot;- Dr. Thomas Frist, Sr. 
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Data Science Manager WFH opening. Qualified candidates will be contacted for interviews.Submit your resume today to join our community of caring!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Data Science Manager

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Data Science Manager on behalf of one of our partners, a leader in the retail Motor Vehicles field. Job Summary As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption. Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a PLUS.</li> </ul>

Envision Employment Solutions is currently hiring a Data Science Manager on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
Job Summary: 
As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.
 
Responsibilities: 
<ul>
<li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li>
<li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li>
<li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li>
<li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li>
<li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li>
<li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li>
<li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li>
<li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li>
<li>Monitor and optimize the performance of data systems and solutions across the organization.</li>
</ul>
Requirements: 
<ul>
<li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li>
<li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li>
<li>Proficiency in programming languages such as Python or R.</li>
<li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li>
<li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li>
<li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li>
<li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li>
<li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li>
<li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li>
<li>Proactive, innovative mindset with keen attention to detail.</li>
<li>Ability to manage multiple projects and priorities in a fast-paced environment.</li>
<li>Experience with data visualization tools and techniques.</li>
<li>Having an automotive background is a PLUS.</li>
</ul>

Al-Futtaim

<div>Job Requisition ID: 172168

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. 
Overview Of The Role: 
<ul><li>
As the Manager of Data Science for Financial Services at Al Futtaim Finance, the role entails executing data science projects to enhance the financial performance and risk management of the organization. The position involves leveraging advanced analytics and machine learning techniques to implement predictive models, develop comprehensive financial dashboards, and generate actionable insights. Success in this role requires a robust understanding of financial data analysis, strong quantitative skills, and the capability to communicate complex technical concepts to non-technical stakeholders. This role is pivotal in driving data-driven decisions that impact the financial strategies of the organization.</li></ul> 

What You Will Do: 
<h4 class="jobSectionHeader">
Predictive Modeling</h4> 
<ul><li>
Implement predictive models for residual value prediction, credit scoring, delinquency prediction, collections optimization, and pricing improvements.</li><li>
Deliver at least 2 use cases demonstrating successful predictive model implementation.</li></ul><h4 class="jobSectionHeader"> 
Dashboard and Metrics Development</h4> 
<ul><li>
Create financial KPI metrics and risk dashboards using statistical techniques and data visualization libraries.</li><li>
Develop and maintain 3 comprehensive finance-related dashboards.</li></ul><h4 class="jobSectionHeader"> 
Financial Insights Generation</h4> 
<ul><li>
Generate financial insights utilizing time series decomposition, anomaly detection, and stress testing techniques.</li><li>
Produce 3 actionable financial insights monthly.</li></ul> 

Required Skills To Be Successful: 
<ul><li>
Advanced statistical and machine learning expertise.</li><li>
Proficiency in Python, SQL, and data visualization tools.</li><li>
Strong problem-solving and critical thinking skills.</li><li>
Ability to communicate technical concepts to non-technical stakeholders.</li></ul> 

What Qualifies You For The Role: 
<ul><li>
Bachelor's/MSc in Statistics, Financial Analytics, Computer Science, or a related field.</li><li>
5+ years of experience in data science and analytics.</li><li>
Hands-on experience with advanced statistics, machine learning, time series analysis and forecasting.</li><li>
Proficiency in Python, SQL, Databricks, and financial modeling and machine learning libraries.</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

Molex

<div>Your Job
We are seeking a highly collaborative, value-driven and talented individual to join the Molex data and insights capability as Analytics Solutions Manager focused on executing advanced analytics opportunities. In this role you will work closely with our analytics and data teams and various cross-domain business partners to deliver solutions providing reliable data, analysis and connected insights. The ideal candidate will have strong hands-on background in data analysis, data science models and deployment and understanding of common business domains. The role will focus on planning, execution and delivery of data science, advanced analytics and AI solutions and continuous learning of new technology. This role will require a mindset of excellence and sense of urgency to orchestrate efforts and motivate the team to address opportunities at speed and scale. Experience with statistical Demand Forecasting is a preferred advantage.
Our Team
Our team focuses on decision intelligence. We do this through transforming how our business works by enabling faster and more informed decisions. We deliver strategic solutions and enablement through analytical capabilities like data analysis, engineering, data science, AI and process digitization.
What You Will Do<ul><li>
Lead and inspire a team of data scientists and data analysts with diverse skillsets. Foster collaboration and innovation within the team and ensure effective communication.
</li><li>Recommend statistical modeling concepts (regression, time series analysis, clustering, etc.) to large datasets to provide insights and solutions to business problems.
</li><li>Oversee the design, development, and deployment of AI models, continuously monitor and evaluate the performance of AI models, making adjustments as needed. Keen attention to detail.
</li><li>Stay abreast of the latest advancements in data science and AI, and identify opportunities to leverage new technologies within the organization.
</li><li>Develop cross functional business acumen including areas such as Finance, Sales, Supply Chain and Manufacturing.
</li><li>Employ strong organizational skills and the ability to manage multiple competing priorities
</li><li>Utilize LEAN and Agile principles to manage data science projects, focusing on iterative development, rapid prototyping, and efficient resource allocation.
</li><li>Develop and maintain strong relationships with data and digital teams across the organization.
</li><li>Provide oversight and approval of technical approaches, products, and processes.
</li></ul>Who You Are (Basic Qualifications)<ul><li>
Leadership skills to manage and lead a team, train less experienced team members, work in a global business services model, and drive a high performing culture.
</li><li>Experience in analyzing and creating M/L solutions for demand forecasts, inventory, finance, manufacturing and other business domains.
</li><li>Hands on experience in developing Advanced Analytics solutions
</li><li>Coding and statistical modeling skills in Python and SQL
</li><li>Proficient experience with Data science libraries (such as NumPy, Pandas, Matplotlib, etc.)
</li><li>Experience with Snowflake, AWS cloud platform, SAP, Sagemaker, Kinaxis
</li><li>Experience with one or more of the AI platforms (Palantir, Databricks etc) and LLMs
</li></ul>What Will Put You Ahead<ul><li>
Experience working within a Global Business Services model.</li><li>
Experience with Graph DB</li></ul>
For this role, we anticipate paying 120K to 150K per year. This role is eligible for variable pay, issued as a monetary bonus or in another form .
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Who We Are
As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications. The thousands of innovators who work for Molex have made us a global electronics leader. Our experienced people, groundbreaking products and leading-edge technologies help us deliver a wider array of solutions to more markets than ever before.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aqu&iacute; , or tu ).
#LI-KR5</div>

Visa

<div>Company Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 
Job Description 
The Manager of Data Science is one of the risk roles in the Central Europe, Middle East and Africa (CEMEA) Data Science risk team. We are seeking an innovative and analytical thinker to champion our data-driven strategies within the region. As a Data Science Risk Manager, you will participate in building predictive and prescriptive models, and develop context-based prototypes and high-impact storyboards that promote data-driven strategies and solutions for Visa clients. The position will primarily focus on engagements in the area of fraud and operational risks, deep risk analytics, risk scoring as well as marketing solutions from Merchant/Acquiring.
Principal Responsibilities<ul><li>
Work entails heavy focus on developing and implementing best-in-class risk analytic solutions, inclusive of scoring and non-scoring models. Create and deliver powerful insights from data through better visualization and storyboarding</li><li>
Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organizations to strategize, co-create, deploy and reap the benefits of data-driven solutions</li><li>
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region</li><li>
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</li><li>
Ability to quickly understand and process alternate/non-conventional data sources/platforms and develop AI based advanced prediction algorithms</li><li>
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges</li><li>
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs</li><li>
Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency</li><li>
Develop, share, and build global best practices and knowledge management within the team</li><li>
Socialize innovative ideas and approaches that are scalable and have market demand</li><li>
Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa&rsquo;s highly regarded market standing is maintained</li></ul>
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. 
Qualifications<div> 
Professional Experience 
<ul><li>Minimum of 6+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required</li><li>Post-graduate degree (Masters or PhD) in quantitative fields such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering</li><li>Excellent knowledge, experience and understanding of quantitative techniques (modelling, statistics, root-cause, etc.) applied to Risk Management with a focus on Card and Payments. Familiarity with key Risk and Performance Indicators. Experience working in one or more of the Card &amp; Payments markets around the globe, with specific responsibilities in payments, retail banking, or retail merchant industries</li><li>Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product</li><li>Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems</li><li>Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation</li><li>Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels</li><li>Develop Risk advisory related knowledge and capabilities creating next generation risk engagement with Visa clients specializing in Merchant/Acquiring side of payment processing</li><li>Knowledge of Merchant fraud engines/solutions like CYBS/MPGS is preferred</li><li>Partner with in-market VCA consultants and data scientists to deliver risk-related advisory engagements</li><li>Establish Intellectual Property (IP) risk repository for VCA by capitalizing on learnings from consulting engagements (e.g., build standard methods, create library of case studies, templatize modeling codes)</li><li>Reengineer and/or package risk consulting methodologies and data driven solutions as appropriate, ensuring world-class best practices and efficiency through economies of scale</li><li>Partner with other Visa functions (e.g., Risk, Products) to capitalize on existing risk products/solutions and co-design new ones leveraging Visa&rsquo;s assets (expertise, data, capabilities)</li><li>Proven ability to deliver results within committed scope, timeline and budget</li><li>Very strong project management skills and experience</li><li>Ability to travel within CEMEA on short notice</li></ul>
Technical Expertise 
<ul><li>Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)</li><li>Strong understanding and experience of modern technology stack and microservice architecture including Kotlin, Spring boot, PostgreSQL, Kafka, AWS</li><li>Relevant experience of engineering unstructured/structured data from Telco, Supermarket, Social Media, Online logs, E-commerce, etc is preferrable</li><li>Ability to write scratch MapReduce jobs and fluency with Spark frameworks</li><li>Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE&rsquo;s (Jupyter Notebooks), proficiency in SAS technologies and techniques is preferred</li><li>Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL</li><li>Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services</li><li>Familiarity with common data modeling approaches and ability to work with various datatypes including JSON, XML, etc.</li><li>Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro</li><li>Proficient in some or all the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, Bagging and Boosting algorithms, etc.</li><li>Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)</li></ul></div> 
Additional Information 
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Risk Data Science Manager

Udemy

<div>
 
 Join Udemy. Help
 
 
 define
 
 
 the future of learning.
 
 
 
 Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It&rsquo;s personalized, practical, and focused on real-world impact.
 
 
 Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they&rsquo;re picking up something new or leveling up to stay ahead.
 
 
 Over 80 million learners and 17,000 businesses already learn with Udemy. If you&rsquo;re excited by change, energized by learning, and ready to have a real impact, you&rsquo;ll feel right at home.
 
 
 
 Learn More About Us On Our Company Page.
 
 
 
 
 
 Where we work
 
 
 
 
 Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and T&uuml;rkiye.
 
 This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays
 
 .
 
 
 
 About Your Skills
 
 
 
 <ul>
 <li>
 Continuous Learning and Growth: Being able to follow up on all the progress in the AI and ML field, translating them into strategic capabilities for you and your teams is critical for this role. Truly understanding what these algorithms are capable of and making sure you set your team for success.
 </li>
 <li>
 Leadership: You design and build an environment that balances outcomes and innovation, while keeping a collaborative yet competitive team culture. You lead with humility and clarity. You build an environment where individuals feel supported, heard, and proud of what they build together. You understand how to motivate and empower your team to do their best work.
 </li>
 <li>
 Data Driven: You rely on data driven processes to make sure what the team is building is delivering the intended value. Fueled by an iterative process of A/B experiments and learning, you provide a clear process that balances big bets and iterative improvements leading to measurable outcomes.
 </li>
 <li>
 Decision Making: You are able to gather and communicate effectively all data, cross functional partner inputs, company direction to facilitate effective brainstorming sessions, help the team to set direction and progress confidently.
 </li>
 <li>
 Effective Communication: You explain the complex domain of ML/AI Algorithms with intuitive and focused simplicity, while clearly communicating limitations and opportunities effectively.
 
 
 </li>
 </ul>
 
 About This Role
 
 
 
 As a Data Scientist manager in the Catalog Search team, you will be responsible for managing a team of data scientists building AI/ML driven algorithms for the discovery of learning experiences with a primary focus on search. You will drive the strategy for the team to explore new strategies to use LLMs, semantic embedding models as well as learning engagement analysis of users (behavioral data) and incorporate these to turn to highly personalized learning opportunities for learners.
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 
 <ul>
 <li>
 Partner with product managers, data scientists, engineers and other stakeholders to build data products and set direction as well as drive the execution.
 </li>
 <li>
 Build and maintain a high performance team, by recruiting, hiring and planning career development of a team of data scientists/ML engineers
 </li>
 <li>
 Provide hands-on technical guidance and career mentorship for team members
 </li>
 <li>
 Maintain high-quality standards, effective communication processes, and best practices in engineering and data science
 </li>
 <li>
 Research or prototype solutions and contribute to the codebase as needed
 
 
 </li>
 </ul>
 
 
 What you&rsquo;ll have
 
 
 
 
 <ul>
 <li>
 8+ years of experience as a software engineer, researcher or data scientist
 </li>
 <li>
 3+ years of management experience of teams building data driven solutions.
 </li>
 <li>
 Appetite and relevant background for learning state-of-the-art AI based search solutions
 </li>
 <li>
 Strong communication skills both written and verbal
 </li>
 <li>
 Strong coding skills with SQL and 1+ programming language (e.g. Java, Python)
 </li>
 <li>
 Familiarity with agile practices (e.g., Scrum)
 </li>
 <li>
 Ability to communicate effectively with non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Preferred But Not Required
 
 
 
 <ul>
 <li>
 Hands on experience with Enterprise search systems (e.g. Elasticsearch, Solr).
 </li>
 <li>
 Experience with big data ecosystems such as Spark, Hadoop and Hive.
 </li>
 <li>
 Hands-on experience with training and fine-tuning semantic embeddings and/or LLMs.
 
 
 </li>
 </ul>
 application deadline 18 November 2025
 
 
 
 Why work here?
 
 
 
 
 You&rsquo;ll grow here.
 
 
 
 Learning is part of the job. You&rsquo;ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.
 
 
 
 AI is real here.
 
 
 
 We use it in the way we learn and the way we work. You&rsquo;ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
 
 
 
 You&rsquo;ll own your work.
 
 
 
 We trust people to lead, make decisions, and follow through. You don&rsquo;t need to wait for permission or layers of approval to have an impact.
 
 
 
 You&rsquo;ll Build With Others.
 
 
 
 We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
 
 
 
 You&rsquo;ll see your impact.
 
 
 
 What you build helps people grow their skills, change their careers, or find a path forward. You&rsquo;ve got the experience, why not use it to help others gain theirs?
 
 
 
 Bring your curiosity. We&rsquo;ll bring the platform and the support. Let&rsquo;s
 
 LEARN
 
 together.
 
 
 
 
 Our Benefits Start With U
 
 
 
 Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits &amp; US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.
 
 
 
 Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.
 
 
 
 
 At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
 
 
 
 
 
 Information regarding data privacy is available within the Udemy Careers Privacy Notice.
 
 
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Senior Data Science Manager

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