Data Science Jobs 2025 (Now Hiring) – Smart Auto Apply

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us : LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. About the Role : As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : Leading the development of advanced AI and machine learning models to solve complex business problems Working closely with other data scientists and engineers to design, develop, and deploy AI solutions Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs Analyzing large datasets to identify patterns and trends that can inform AI development Communicating findings and insights to stakeholders in a clear and concise manner Staying current with the latest AI and machine learning trends and technologies Mentoring junior data scientists and provide guidance on AI and machine learning best practices Driving best practices across our data science functions Setting strategy and team direction, with a clear vision for Data Science Working with product leaders to apply data science solutions. Evaluating and creating new frameworks and defining methodologies and governance Leading small- to medium-sized teams (direct or indirect) Setting a high-bar for model development Requirements : Have substantial experience in a senior data scientist role Have experience in leading complex projects and customer relationships Have significant experience in managing larger Technical teams (direct or indirect) Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues Be a natural problem solver, able to take a lead in collaborating to resolve issues Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience : PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field 7-10+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. Experience with reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM in a business Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) Strong coding skills in Python or another programming language Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders Strong problem-solving skills and the ability to think outside the box Work in a way that works for you : We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us : LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you: We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:- Comprehensive, multi-carrier health plan benefits- Disability insurance- Dependent care and commuter spending accounts- Life and accident insurance- Retirement benefits (salary investment plan/employer stock purchase plan)- Modern family benefits, including adoption and surrogacy About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. {Empty} U.S. National Base Pay Range: $113,100 - $188,500. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Description Are you ready for a change? At GS1 US, employees at every level play a vital role and provide a meaningful voice on issues that affect consumers across the country. We are a small company with a world-class culture . We make a huge impact on the way the world does business. What is in it for you: As a Data Science Director at GS1 US, you have the opportunity to join a dynamic organization that is constantly innovating and never stagnant. You will be responsible for leveraging data to drive strategic insights, optimize operations, and support innovation across our standards-based solutions. In return you’ll be rewarded with great pay and benefits in a hybrid work culture. You’ll work at a high-performance company with a world-class culture that invests in its employees. We don’t just say culture is important to us, we have the data to back it up. We are currently recruiting for this position, which offers a salary range of $135,000 to $170,000. This position qualifies for participation in our annual employee bonus program. This position is also eligible for company-sponsored benefits, which include: Health (medical, RX, dental, vision) - effective immediately 401(k) with Employer Safe Harbor and Profit Sharing Contributions - effective immediately Short and Long Term Disability Coverage Mental Health and Wellbeing (6 employer sponsored therapy and coaching sessions) Individual Wellness Platform Paid Parental Leave Generous PTO and Company Paid Holidays LinkedIn Learning Tuition Reimbursement Kudos (employee recognition and engagement platform) Catered Lunches 2x/week on in office days Who you are: You bring a strong educational background, holding a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. You possess 5+ years of experience with manipulating large data sets, identifying patterns, and developing interference and regression models that can be implemented as well as 8+ years of programming expertise including tools such as Power BI and languages such as Python, SPARK, SQL etc. Proficiency in the Microsoft Azure ecosystem—including Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform is essential, as is a solid command of Python and SQL programming. You excel at leading complex projects, shaping analytical strategies, and mentoring junior data scientists and engineers. Your expertise encompasses robust data governance, security, and scalability, with a proven track record in machine learning, deep learning, and statistical modeling. Additionally, you are well-versed in CI/CD pipelines for model deployment. You are experienced in working with third-party data providers and APIs and are familiar with Microsoft Dynamics 365 and other business applications. You are a strong communicator with the ability to translate complex data into clear, actionable insights for a variety of audiences. What you will do: As a Data Science Director, you will design, develop, and deploy predictive models and machine learning algorithms using Microsoft Azure ML, Python, and other relevant tools. Here are a few more details about the role (other duties may be assigned): Leverage Microsoft Fabric for unified data analytics, including integration with Power BI, Azure Synapse, OneLake, and external datasets Collaborate with cross-functional teams to understand data needs and translate them into analytical solutions. Must be able to deliver solutions to production. Analyze structured and unstructured data to uncover trends, patterns, and insights that inform business decisions Visualize data insights using dashboards and reports to communicate findings to stakeholders. Present findings and recommendations to technical and non-technical audiences Provide technical direction and best practices for modeling, data engineering, and analytics Establish good data management practices including data governance and MDM. Establish standards for data quality, model validation, predictive and prescriptive analytics Stay current with industry trends, emerging technologies, and best practices in data science and analytics. Supervisory responsibilities: w hile this position may not initially have supervisory responsibilities, this role is expected to provide technical leadership in the area of data science and data analytics. This person is also be expected to collaborate across GS1 US and lead cross-functional teams as needed. Ready to be part of a team that believes the identification of everything makes anything possible? Apply today – we can’t wait to hear your story. GS1 US is an Equal Opportunity Employer - All qualified applications will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin. GS1 US is not accepting unsolicited resumes from search or staffing firms. All resumes submitted by search or staffing firms to any employee at GS1 US via-email, internet or directly without a valid written search agreement will be deemed the sole property of GS1 US, and no fee will be paid in the event a candidate is hired by GS1 US.

Industry/Sector Not Applicable Specialism Data Science Management Level Intern/Trainee Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. During your time at the Firm, you start to establish your personal brand, paving the way to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The OpportunityAs a Data Science Intern, you will engage in a dynamic environment where you will support teams in delivering innovative data-driven solutions. You will have the chance to work on projects that involve data modeling, machine learning, and complex data analysis, contributing to the development of cutting-edge technologies. As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects. This role emphasizes the importance of adopting a learning mindset and taking ownership of your development while appreciating diverse perspectives.In this role at PwC, you will be part of the Data and Analytics Engineering group, where you will apply your skills in data science and machine learning engineering. You will have the opportunity to observe and learn from experienced professionals, participate in a variety of assignments, and contribute to the success of the team. This is an excellent opportunity to start establishing your personal brand and pave the way for future opportunities in the field of data science.Responsibilities - Supporting data science and machine learning engineering teams in various projects - Participating in the development and implementation of data-driven solutions - Assisting in data modeling to organize and structure complex datasets for analysis - Engaging in data mining and data engineering tasks to extract meaningful insights - Applying machine learning techniques to enhance data-driven decision-making processes - Utilizing programming languages such as C++ and R for data analysis and model development - Conducting statistical analysis to identify patterns and trends in large datasets - Collaborating with team members to integrate artificial intelligence and natural language processing into projects - Learning and applying data science algorithms and methodologies to support project goals - Gaining exposure to data science practices and contributing to the team's success through research and basic tasks What You Must Have- Currently pursuing or have completed a Bachelor's degree- Client service intern positions are entry-level roles intended for job seekers who are in their third year of a four-year degree program or fourth year of a five-year program at the time of application. Winter internships typically occur during the spring semester preceding the student's final year of school Summer internships typically take place during the summer preceding the student's final year of schoolWhat Sets You Apart- Preference for one of the following field(s) of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering- Preference for a 3.3 overall GPA- Demonstrating proficiency in C++ and R programming languages- Utilizing machine learning techniques for data-driven decision making- Applying data modeling skills to organize and analyze complex datasets- Engaging in predictive modeling and statistical analysis for insights- Exploring natural language processing for innovative data solutions- Supporting project management tasks in data science environments-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Hi, Title – Sr. Software Engineer – Data Science Position – Fulltime Location – Boston, MA Salary - $Open (Best Possible) Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, Math, or related technical/science field 5+ years of software engineering experience 2 years data science / machine learning experience Requirements Preferred Qualifications: Significant experience with Python and Python data stack Professional experience with the “PyData” stack – e.g. NumPy, pandas, matplotlib, Jupyter Notebook Experience with Java and Apache Spark Nice to have: experience in healthcare analytics; experience in Apache Spark Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

SeaWorld is a world-renowned leader in the themed-park and entertainment industry. Our success is built on a passion for caring for animals and a dedication to delivering positive, memorable experiences to people from around the world. Were also committed to helping ambitious people achieve their professional best. We're always seeking exceptionally skilled and knowledgeable individuals to join our team. Onsite: Miami, FL Key Responsibilities Predictive & Prescriptive Modeling Develop, test, and operationalize predictive and prescriptive models to enable right audience, right message, right channel marketing execution: Ticket & Pass Prediction – Identify customers likely to purchase a Pass, Fun Card, Multi-Day, or Single-Day Ticket to optimize targeting and creative execution. Guest Interest Classification – Predict whether a guest is an Animal Lover, Thrill Seeker, or Foodie to tailor marketing creative, landing pages, and post-purchase engagement. Customer Lifetime Value (LTV) & Churn Prediction – Forecast LTV to inform Customer Acquisition Cost (CAC), prospect targeting, win-back strategies, and lapse/churn risk management. AI-Powered Learning Platforms & Self-Service Tools Build AI-driven learning tools to empower corporate and park teams with real-time, data-driven decision-making capabilities: Causal Analysis – Develop self-serve tools to measure the impact of marketing efforts, ticket pricing, and promotions on pass sales and visitation. Geo Lift, Market Mix Modeling & Budget Optimization – Build models to assess offer impact by channel, optimize media mix, and forecast visitation based on geo-lift experiments. Performance Management & Anomaly Detection – Create a real-time performance tracking system in Databricks, integrating spend, impressions, clicks, and purchases with : Automated anomaly detection triggering alerts when deviations exceed a set threshold from plan, last week, or year-over-year trends. Root cause diagnostics to enable teams to take immediate corrective action. Customer Behavior & Sentiment Analysis – Build a queryable platform that triangulates business results, marketing performance, surveys, and social listening, enabling teams to: Use natural language queries for insights. Support conversational commerce by analyzing web recordings, call center transcripts, and social forum discussions. Agentic AI for Marketing & Revenue Optimization Drive agentic AI exploration, testing, and productionalization to automate real-time marketing decisions and revenue strategies: AI-Driven Media & Offer Optimization Develop AI agents that adjust channel spend in real-time to meet pass/ticket and visit goals within budget constraints. Enable certain AI-driven offer optimizations to be auto-deployed, while others require human authorization. Predictive Demand & Geo-Fenced Offer Automation Forecast daily and next-day attendance and trigger geo-fenced, time-sensitive offers (e.g., 4 PM-to-close tickets, animal encounter day-of offers). AI-Powered Content & Creative Optimization Use contextual AI to auto-optimize email offers, messages, and images. Deploy generative AI to create dynamic content variations based on guest behavior and engagement. What We’re Looking For Expertise in AI, machine learning, and predictive modeling with a track record of deploying real-time marketing optimization solutions. Strong experience with Databricks, Python, SQL, Spark, and cloud platforms (AWS/GCP). Ability to translate AI-driven insights into tangible business strategies that impact revenue and guest engagement. Experience in leading data science teams and collaborating with marketing, sales, and product teams. Strong understanding of media optimization, attribution modeling, and real-time decisioning AI. The perks of the position: Paid Time Off Complimentary Park Tickets and Passes Park Discounts on Food and Merchandise Medical, Dental, and Vision Insurance 401K Retirement plan Voluntary Insurance Life Insurance Disability Benefits Tuition Reimbursement Dependent and Health Care Flexible Spending Accounts Employee Assistance Program Legal Assistance Plan EEO Employer: SEAWORLD PARKS & ENTERTAINMENT IS AN EQUAL OPPORTUNITY EMPLOYER. ALL APPLICANTS WILL BE CONSIDERED WITHOUT REGARD TO AGE, RACE, COLOR, RELIGION, SEX, NATIONAL ORIGIN, SEXUAL ORIENTATION, PREGNANCY, GENDER IDENTITY OR EXPRESSION, DISABILITY OR COVERED VETERAN STATUS.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About the Role: The Adobe Experience Platform (AEP) Product Success Engineering (PSE) team is seeking an innovative Director of Data Science & Engineering t is seeking a Director of Data Science & Engineering to build the data foundation, KPI frameworks, and predictive intelligence that power product adoption, customer health, platform performance, and operational efficiency. This is a high-visibility, 0-to-1 leadership role responsible for unifying Adobe’s product usage data and delivering insights that transform how we measure customer value and drive product success. You will lead a multidisciplinary team of Data Scientists, Analytics Engineers, and Platform Engineers to architect scalable data systems, develop predictive models, and enable data-driven decision making across Adobe’s AEP portfolio. What You’ll Lead: Data Strategy & Architecture Define and deliver the data science, analytics, and platform strategy for Product Success Engineering. Build a unified data foundation and governance model across diverse data sources. Evolve internal intelligence into customer-facing insights and dashboards. Team Leadership Build and grow a world-class 20+ person data organization. Establish team structure, processes, and development paths. Partner cross-functionally with Product, Engineering, Ops, Finance, and Field teams. Data Platform & Engineering Architect end-to-end pipelines, cloud data warehouse solutions, and real-time/batch analytics. Implement data quality, governance, privacy, and metadata standards. Enable scalable BI, ML, experimentation, and self-service analytics. Data Science & Analytics Develop models for customer health, adoption forecasting, and expansion. Build KPI frameworks for product usage, retention, platform performance, and operations. Drive advanced analytics (segmentation, funnel insights, causal analysis) and experimentation capabilities. Business Intelligence & Insights Deliver dashboards and executive reporting that influence product and business strategy. Translate complex analysis into clear, actionable recommendations for senior leaders. Why Join the team: Lead a greenfield data organization shaping the future of customer success intelligence at Adobe. Impact product adoption, retention, and value realization across the entire AEP + Apps ecosystem. Build high-visibility, high-impact capabilities with strong executive sponsorship. Work with cutting-edge data, ML, and cloud technologies at enterprise scale. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field, with 10+ years of experience in data science, analytics, or data engineering roles, including 5+ years in data leadership positions managing teams of 10+ professionals 5+ years of hands-on experience in data science and ML, with expertise in predictive modeling, statistical methods, and model evaluation. Proven 0-to-1 data leader with a track record of building data foundations, teams, and analytics capabilities from scratch. Deep technical proficiency across the modern data stack: ETL/ELT, cloud data warehouses, dbt, Airflow, SQL, Python, ML frameworks, BI tools, and data governance. Experience architecting large-scale cloud-native data platforms, real-time and batch pipelines, and working with diverse SaaS data sources (usage, clickstream, entitlements, cost, CRM/support). Strong background in B2B SaaS metrics, product analytics, customer lifecycle insights, and operating in high-growth or data-driven tech environments. Executive-level communicator with the ability to influence senior leaders, translate analytics into business insights, and build trusted cross-functional partnerships. Demonstrated success hiring and leading multidisciplinary data teams while scaling data maturity from foundational reporting to advanced analytics and predictive intelligence. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $186,500 -- $358,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Position Summary... What you'll do... Are you a high-impact leader looking to solve complex problems and help customers at a massive scale? If so, this leadership role is the one for you! We seek an extraordinarily talented individual to join our team and lead our centralized eCommerce Decision Science/AI, Data Engineering, & Business Intelligence functions. This leader will help scale our rapidly growing eCommerce business through modeling & generative AI insights and lead and grow critical Data Engineering and Business Intelligence capabilities. We seek a leader that is equal parts visionary and hands-on; you will simultaneously formulate and shape our forward-looking analytical/science roadmap but are also highly curious and willing to dig into the details of daily work to improve how we serve our customers. This role reports directly to the Vice President of Walmart eCommerce Decision Science & Analytics. Technical Assessments 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 to test the code using the appropriate testing approach Deploy software to production servers Contribute code documentation, maintain playbooks and provide timely progress updates 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 multistage 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 Data Source Identification Requires knowledge of Functional business domain and scenarios categories of data and where it is held Business data requirements Database technologies and distributed datastores eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers and measures of success to define data requirements for various model types Direct usage of the appropriate internal and external data sources based on business and model requirements for example types of databases recommended data structures Define data quality guidelines and align data governance Analytical Modeling Requires knowledge of feature relevance and selection Exploratory data analysis methods and techniques Advanced statistical methods and best practice advanced modelling techniques eg 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 Python Basic classical optimization techniques eg Newton Raphson methods Gradient descent Numerical methods of optimization eg 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 businesses 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 machine learning models to support the businesses 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 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 develop business strategy with executive leaders Evaluate proposed business cases for projects and initiatives Approve strategies initiatives and projects Determine metrics and performance indicators Contribute to strategic business decision making regarding key initiatives Outline business cases to be developed and drives delivery of work that has meaningful return on investment to the business Finalize new enterprise wide processes and ways of working Model industry best practices Proactively engage in the external community to build Walmart's brand and influence industry practices Influence and shape business vernacular Model Assessment and Validation Requires knowledge of model fit testing tuning and validation techniques eg 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 Develop automated tests for analytical models Model Deployment and Scaling Requires knowledge of impact of variables and features on model performance understanding of servers model formats to store models To decide the models changes and deployment from a cost benefit perspective Lead teams in deploying large scale or multistage models or model ensembles 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 Advise on the most complex business problems Leverage experiences learnings and business context to inform influence and define data strategy that usually spans one or more functions or domains 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 influencing technique Emotional intelligence to define enterprise guidelines on most effective visualization tools in different contexts Guide the generation of appropriate graphical representations of data and model outcomes Understand customer requirements to design appropriate data representations for complex data sets and drive user experience designers and User Interface engineers to build front end applications Define and review 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 convey 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 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 noncompliance 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 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 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 Walmarts goal of becoming a regenerative company by taking action to advance opportunity sustainability community and integrity eg 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 nonretaliation 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 everyday 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 business model 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 . ‎ Sunnyvale, California US-04397:The annual salary range for this position is $254,000.00-$481,000.00 ‎ Bentonville, Arkansas US-09401:The annual salary range for this position is $195,000.00-$370,000.00 ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 8 years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 3: 10 years' experience in an analytics or related field.4 years' supervisory experience. Preferred Qualifications... 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, 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’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 680 West California Avenue, Sunnyvale, CA 94086-4834, United States of AmericaWalmart 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.

Position Summary... The Customer Insights and Strategy (CIS) team is seeking a visionary Senior Manager to lead the design, development, and deployment of advanced Generative AI and Agentic AI solutions. In this role, you will spearhead innovation across multi-agent LLM systems, retrieval-augmented generation (RAG) pipelines, and scalable AI architectures to power intelligent, context-aware applications across Walmart’s enterprise. This is a high-impact opportunity to lead cutting-edge AI initiatives that redefine how Walmart connects with customers and operates at scale. What you'll do... Develop and Scale GenAI Strategy: Define a multi-year vision and enterprise roadmap for GenAI, applying a platform-centric approach to deliver scalable, reusable solutions. Lead Cross-Functional Collaboration: Influence and align stakeholders across Product, Marketing, Operations and engineering to ensure GenAI initiatives support strategic business goals. Lead Business Transformation: Embed GenAI-driven automation into core workflows to enhance productivity, streamline operations, and accelerate growth across business functions. Collaborate with Top Talent: Work alongside world-class engineers to architect and deliver high-impact GenAI solutions that address Walmart’s evolving business needs. Identify AI Opportunities: Proactively assess business processes to uncover gaps and inefficiencies that can be optimized through AI-driven solutions. What You Will Bring: Enterprise GenAI Leadership: Proven success driving GenAI strategy and implementations across organizations, with deep knowledge of scalable architectures and GenAI concepts. Cross-Functional Influence: Ability to align marketing, product, and engineering teams around AI-driven goals, translating complex tech into business impact. Innovation & Agility: Experience leading rapid experimentation with LLMs, prompt engineering, and agentic workflows to unlock new capabilities. Customer-Centric Mindset: Strong understanding of consumer behavior and marketing dynamics, ensuring AI solutions are grounded in real-world needs. Hands-On Technical Expertise: Skilled in building and deploying GenAI solutions using modern frameworks and cloud-native tools. Walmart’s ambition is to be America’s favorite place to shop with more customers and members across all income brackets, shopping more things, more often. As a Marketing team, we will change customers’ beliefs and behaviors to choose Walmart first by creating demand, building customer loyalty and strengthening brand equity. As a Senior Manager of AI within the Customer Insights and Strategy (CIS) team, you will play a pivotal role in driving marketing success through strategic vision and cutting-edge AI solutions. Our mission is to be indispensable agents of change, fueling Walmart’s ability to delight customers through: Data-driven decision-making enhances marketing performance and informs strategic planning. Automation and efficiency improvements that streamline operations and accelerate execution. Innovation at scale, embedding fast-paced experimentation into every aspect of our work. Customer-centric intelligence, ensuring our strategies are grounded in real human needs and behaviors. You’ll collaborate with Business Partners, Global Tech, and Product teams to unlock insights, build scalable AI tools, and shape the future of how Walmart connects with its customers. 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 $110,000.00-$220,000.00 ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor’s degree in computer science, engineering, or related area and 7 years’ experience in product management. Option 2: 9 years’ experience in product management or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master’s degree in Computer Science, Engineering, Business Administration, or related area and 6 years’ experience as a product manager, ideally working on consumer-facing, large-scale, highly complex B2B/C products, 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’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 702 Sw 8Th St, Bentonville, AR 72716, United States of AmericaWalmart 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.

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

Director Data Science This role is to be based near one of our office in Los Angeles, New York City, Austin or Oakland. About us: We drive intelligent growth for ambitious businesses and leading brands. Customer understanding is more potent and drives greater value when insights go to work directly within marketing and experience priorities. To give our clients that advantage, we put an insights-driven operating system at the core of our design, go-to-market and digital experience solutions. Material clients make smarter growth choices because they can see clearly how and when to take the shots that count. Together, we connect consumer intelligence with customer demand generation to build lasting, profitable relationships. About the Role We are looking for a Director of Data Science to drive delivery and innovation across our analytics function. This role blends hands-on technical expertise, consulting, and leadership in problem-solving and toolkit development. You will own project delivery, create scalable solutions, and innovate to drive measurable business value. We're looking for a curious, growth-minded statistical modeler that blends statistical rigor and the ability to collaborate with technical and non-technical clients. Responsibilities Lead and execute delivery of diverse analytics projects (marketing mix modeling, financial linkage, database scoring, segmentation, passive metering). Build and interpret statistical models / machine learning models. Structure complex problems, design frameworks, and deliver insights through compelling storytelling. Lead innovation initiatives, including internal packages, cross-functional toolkits, and new modeling approaches. Partner with leadership and client teams as a subject matter expert to align analytics with sales opportunities and client business objectives. Uphold high standards for analytics, delivery, and innovation. Qualifications 5+ years experience building statistical models Education in statistics, mathematics, engineering, computer science. Excellent communication skills to translate data into business impact. Expertise in R, Python, and SQL Proven ability to deliver impactful analytics in a client or business-facing environment. Strong structured thinking, problem-solving, and prioritization skills. Curiosity, creativity, and growth mindset. Why work for Material? Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare. Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients. A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in our clients' lives and their customers' lives. Pay Range: $130,000.00 - $160,000.00 The range shown represents a grouping of relevant ranges currently in use at Material. Actual range for this position may differ, depending on location and specific skillset required for the work itself. Equal Employment Opportunity All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law. Privacy Statement Material is committed to protecting privacy in our recruiting processes for all candidates. For more information, please refer to our Privacy Policy. California-resident applicants should also refer to our California-resident Candidate Privacy Statement. If you need support with a privacy-related matter, please send an email to: privacyrequests@materialplus.io

Data Science Intern This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Intern Education & Experience Required: Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #interns Job: Engineering Job Level: N/A States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html . USD Hourly: $35.00 - $46.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: eBay, Inc. seeks Data Science - Analyst 4 in San Jose, CA What you will accomplish: Job Duties: Design A/B tests and provide accurate data and decisions to deliver customized software solutions to fit specific needs and to drive the product improvement decisions. Perform deep dives and collect and analyze vast amounts of eBay transactional and user behavioral data to spot trends, identify outliers and make informed decisions. Present findings and perform knowledge sharing on a weekly basis to ensure data-informed decision making and accelerate decision-making efficiency. Work with the product management, product engineering, data engineering, architecture, and operations teams to define key metrics to measure product success, develop automated ETL pipelines, and develop automated reporting tools. Create a dashboard based on Tableau or Nous (an internal eBay owned tool) and automated emails. Partial telecommuting permitted from within a commutable distance. What you will bring: Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Analytics, or a closely related field, plus three years of experience in the job offered or a related occupation in Data Analytics or Data Science. Special Skill Requirements: Experience with experimentation, designing and interpreting results from AB tests (2 years) Experience building and debugging complex SQL scripts (2 years) Experience building complex, data heavy Tableau dashboards (2 years) Advanced statistics concepts: running and interpreting results from statistical tests, variance reduction techniques using Python (2 years) Experience in distilling insights from large datasets (2 years) Experience with summarizing complex analysis into clear and concise stories that are easy to digest for cross-functional audiences (2 years) Experience with causal inference and techniques to control for selection bias - such as synthetic control (2 years) Experience with structuring and simplifying ambiguous problems and designing appropriate analysis to solve them. (2 years) Experience with ETL tools to build and automate data pipelines (1 year) Salary: $225,077.00-254,200.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Must be legally authorized to work in the U.S. without sponsorship. Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

We are seeking someone to join our team as a Financial Crimes Data Science Lead in NFR Data & Analytics Department to build transaction monitoring models and investigative analyses for effective monitoring of Financial Crimes risk by the Firm. In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is a Vice President level position within the NFR Data & Analytics, a function in the Legal and Compliance Division, is responsible for designing and optimizing surveillance models, approaches, and tools using advanced analytical techniques like supervised and unsupervised machine learning, and evolving techniques like graph analytics. These surveillances and other tools help identify suspicious and/or illegal behaviors such as money laundering, market manipulation, insider trading, unfair sales or trading practices, and other financial crimes. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: Build statistical and behavior models to detect and investigate transactional behavior indicative of potential Financial Crimes Design custom scenarios and support tuning of transaction monitoring scenarios in Actimize Provide support for GFC data analysts to identify, assess, and manage risk by evaluating large data sets using various statistical tools Enhance proficiency in data related to Financial Crimes to ensure consistent results across analyses conducted by end users in automated surveillance or reporting. This should align with the business's understanding of underlying client and transaction behavior SDLC compliant model testing and deployment of the models in collaboration with Technology team Create extensive model documentation including back testing, sensitivity analyses, productivity assessments and work with Model risk management for successful independent validation of the models What you'll bring to the role:? Bachelor's degree in quantitative fields like Statistics, Operations Research, etc. Extensive hands-on industry experience in financial crimes modeling and analytics Experience with Transaction Modeling vendor products like Actimize, Quantexa etc. Hands on programming experience in Python with data at scale Experience in defining processes and workflows and managing their ongoing maintenance. Ability to work in a team environment, balance participation on multiple projects and resolve conflicting priorities. Ability to collaborate with global, cross-functional teams across multiple projects At least 8 years' relevant experience would generally be expected to find the skills required for this role. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $120,000 and $205,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Data Science Graduate This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Education and Experience Required: Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent. Typically 0-2 years experience. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #grads Job: Engineering Job Level: TCP_01 States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html . USD Annual Salary: $60,800.00 - $181,200.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Associate Data Science Actuary, Biometric Assumptions is a qualified actuary with data science capabilities. The Biometric Assumptions Team provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Associate Data Science Actuary will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: HYBRID at RGA HQs in St.Louis, MO or OPEN TO REMOTE Responsibilities Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards Communicate with a variety of stakeholders at various levels of seniority Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies Adhere to professional standards, best practices, and ethical guidelines Understand the strengths and limitations of a modeling approach Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines Stay abreast of new techniques, but focusing on practical applications Liaise with RGA's data scientists across the globe about more sophisticated data science applications Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field FSA accreditation or equivalent Minimum of 6 or more years of actuarial experience in life insurance/reinsurance/pension risk transfer 2+ years statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.) Statistical programs/languages (R or Python) Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) Advanced predictive modeling skills Tree-based models, GLMs, GAMs, etc. Cross-Validation, Residuals and model diagnostics Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation Advanced exploratory data analysis skills - Plots and graphics (BI/ggplot) Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques Transform data to enhance its predictive value (feature engineering) Advanced ability to translate business needs and problems into viable/accepted solutions Advanced investigative, analytical, and problem-solving skills Preferred Experience with longevity product design / pricing / experience studies / assumption development Reinsurance industry experience Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field 4+ years of experience with statistical modeling for insurance Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) Basic data engineering capabilities (Python, Scala) Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering #LI-DL1 #LI-HYBRID Compensation Range: $114,750.00 - $175,450.00 Annual Base Salary What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. Compensation Range: Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

The Mosaic Company (NYSE: MOS) is the world's leading integrated producer of concentrated phosphate and potash-two of the three most important nutrients in agriculture. We employ more than 13,000 people in six countries to serve farmers all over the world. Our Headquarters is in Lithia, Florida with operations throughout North America (U.S./Canada) and South America. At Mosaic We Help the World Grow the Food it Needs- Apply today and join our team! Manager Data Science- Supply Chain Where will you work: Onsite at our North American Business Headquarters in Fish Hawk (located at 13830 Circa Crossing Drive Lithia, FL). Our US headquarters has an onsite gym and a welcoming campus style workspace with free coffee and tea. Mosaic is seeking a hands-on, technically driven leader to shape and execute our global strategy for AI, machine learning, and analytics-driven optimization across the supply chain. In this high-impact role, you'll lead transformative projects that integrate Python-based modeling, Lean Six Sigma methodologies, and scalable digital solutions to drive measurable cost savings, productivity gains, and cycle-time reductions. You'll bridge data science, operations research, and process excellence while coaching teams and influencing stakeholders across the enterprise. Success in this role means delivering trusted, adopted models and tools, strengthening internal analytics capabilities, and clearly linking AI-driven insights to tangible business performance improvements. You'll thrive here if you're a problem solver who excels at the intersection of analytics, process design, and change leadership. What you'll do: Lead hands-on modeling and optimization initiatives using Python, SQL, and visualization tools to deliver predictive and prescriptive solutions for supply chain planning and network optimization. Develop and execute AI/ML and data science strategy aligned with Mosaic's business vision and digital roadmap. Apply emerging technologies (e.g., Generative AI, Copilot Studio) and best practices in MLOps to accelerate modeling, improve decision-making, and enhance operational visibility. Drive continuous improvement through Lean Six Sigma projects, Kaizen events, and root cause analysis, achieving measurable cost reduction and process standardization. Coach and develop internal teams on analytics and process improvement methodologies to build sustainable capability and foster a data-driven culture. Partner with supply chain owners to translate business needs into technical requirements and deliver enhancements within supply chain planning platforms. Lead change management and process governance efforts to ensure adoption of digital solutions, KPI tracking, and alignment of technology, people, and processes for maximum business impact. What you'll need: Bachelor's degree in statistics, data science, computer science, engineering or a related field 7+ years of experience in supply chain optimization, data science, or process improvement with demonstrated success in digital transformation initiatives Proven experience leading Lean Six Sigma or continuous improvement projects Advanced proficiency in Python including pandas, scikit-learn, PuLP, Pyomo and SQL, with ability to translate models into actionable insights Experience with AzureML and Azure DevOps Skilled in data visualization and reporting tools such as Power BI and Excel Solver with ability to communicate insights effectively to technical and non-technical audiences Demonstrated ability to lead through influence, collaborate across global teams, and work effectively in Agile and SCRUM environments Bonus points if you have the following: Master's degree in a related field Green Belt or Black Belt certification Familiarity with Copilot Studio and Generative AI applications in process optimization Exposure to ERP systems such as SAP or Oracle Working knowledge of industrial data platforms such as AVEVA PI System formerly OSIsoft PI for real-time data collection and visualization Experience in warehouse layout optimization, transportation modeling, or network design What's In It for You: An attractive base salary + an annual incentive 11 paid holidays each year 401k with a company match and annual company contributions Paid sick leave for when you need it Paid vacation A robust benefits package which includes Medical, Dental, and Vision insurance #LI-KM1

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: Vision & Impact SoFi is seeking an inspirational and deeply experienced Senior Director to lead and define the strategic direction of our Risk Data Science function. Reporting to the Chief Credit Officer, this executive role will lead the development, deployment, and governance of credit decisioning models - from underwriting and portfolio management to loss mitigation. The ideal candidate is a hands-on leader and a visionary who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve underwriting performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence executive stakeholders, and proven success in delivering complex models into a regulated production environment. What You'll Do (Key Responsibilities) Strategic Leadership & Vision: Define and Champion Strategy: Develop and articulate the 1-3 year roadmap for Risk Data Science, aligning all priorities with the broader Credit Risk and Business Unit objectives. Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply. Talent and Team Development: Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture. Execution & Delivery: Underwriting Excellence: Directly oversee the development and deployment of Next Generation Underwriting models designed to increase origination while maintaining loss guardrails. Loss Mitigation & Collections: Drive the successful build-out and implementation of new Collection and Entry Rate Models to optimize outreach strategies and reduce losses. Loss Forecasting & Compliance: Lead the development of Loss Forecasting and CECL models, ensuring they align with industry practices and meet all regulatory requirements for the firm's balance sheet and reserve calculations. Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products. Governance, Compliance, and Cross-Functional Influence: Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory). Stakeholder Alignment: Interact and negotiate with senior management, executives (CCO, CFO, Product Leads), and external stakeholders to reconcile competing views and drive critical, high-impact business decisions. Automation and Efficiency: Lead efforts to automate model monitoring and governance processes (ModelOps) to create scalable and auditable infrastructure. What You'll Need Experience: 12+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 7 years in a senior leadership/management role (managing managers and/or technical leads). Education: Master's or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.). Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference). Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment. Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS). Communication: Exceptional executive presence and the ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership. Why You'll Love It Here You will have the autonomy to build the future of risk modeling at a high-growth, innovative financial technology company. Your contributions will directly impact the financial health of millions of members. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $217,600.00 - $374,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: This individual will lead cloud migration initiatives and oversee product delivery efforts within the CSBB organization. Lead a team of Data Science Managers, Lead Data Scientists and Data Scientists to work on highly complex projects and support ongoing analytic processes which will influence business decisions for Truist's Lines of Business and Product partners. The Data Science Director and team use advanced analytical skills, statistical methods (collection, organization, analysis, and interpretation of the data) and software for continuous iterative exploration and investigation of past client behaviors to gain insights into client and prospect targeting, client journey and engagement and identifying clients' needs. Act as an advisor to Truist Senior and Executive Leadership to support enterprise strategic initiatives through the application of data and analytics. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Manage significant advanced analytics projects which involve broad latitude and judgment regarding the management of assigned projects including scoping, approach design, assignment of tasks, and accountability for deliverables. Lead a team of Data Science Managers, Lead Data Scientists, and Data Scientists. Provide coaching and guidance to team members, understanding their strengths, weaknesses and goals to support the appropriate opportunities for career development and enhancement. Provide performance evaluations in accordance with Truist guidelines. Work with teammates to establish development plans and provide regular coaching and feedback to members of the team. Responsible for talent acquisition, coaching and organization of data science professionals possessing highly technical skills, an understanding of business processes, natural curiosity and a drive to excellence in pursuit of business optimization and impact. Foster communication and partnership across all levels of the organization including engagement with Senior Leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises and building trust with partners while delivering on LOB and company goals. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by advanced analytics in support of enhanced decision-making. Focus on continuous improvement in delivering data science driven insights and outcomes in pursuit of business optimization. Provides strategic direction in data collection, data wrangling, data mining, advanced analytic concepts, AI & machine learning, self-service enablement and data visualization for the line of business partners. Drive overall team standards in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers. Represent the team in various forums, work streams, and Executive reviews. Cultivate relationships with Senior Leaders from the Enterprise Data Office and federated analytics teams to drive efficient data science & predictive analytics delivery against shared objectives. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree or equivalent education and related training or experience, and 15 or more years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 10 or more years of progressive data science or analytics management experience with a diverse project focus and demonstrated results. Must be a people leader, able to manage in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word). Preferred Qualifications: Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. 15+ years of experience in Banking, Finance, Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering. General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work