At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. What you'll be able do: Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. Leverage economic and statistical techniques to analyze internal and 3rd party data sources, including sales data, production and inventory data, customer loyalty, and market trends, to drive strategic decisions. Predict automobile market conditions and prescribe marketing campaigns and pricing optimizations for management and operations. Develop data-driven approaches to better understand and optimize automobile sales and risk analysis with a strong understanding of production and inventory management and customer loyalty retention. Manage data wrangling, cleansing, transformation, and quality analysis in Google Cloud BigQuery and Alteryx using programs including Python, and advanced SQL skills. Develop data visualizations and reports using Qlik Sense, Vizlib, and Power BI. Develop and maintain documentation that includes descriptions of economic methodologies. Deliver results to business partners, including senior executives, with a variety of backgrounds and technical skill sets by possessing strong business communication skills to effectively gather requirements, create compelling data visualizations, and deliver results to business partners, including senior executives, with a variety of backgrounds and technical skill sets. You'll have… Master’s degree or foreign equivalent in Information Technology Management or related field and 4 years of experience in the job offered or related occupation. 4 years of experience with each of the following skills is required: 1. Utilize SQL, Python, and Git to manage, manipulate, and deploy data for analysis and reporting. 2. Utilize Exceptional Microsoft Office Experience (Excel, Pivot Tables, Macros) to perform ad hoc analysis in an executive-consumable format with limited lead time. 3 years of experience with each of the following skills is required: 1. Utilize domain knowledge of marketing analytics in the automotive industry including production and inventory management and fixed and variable incentive analysis. 2 years of experience with each of the following skills is required: 1. Extract, transform, and load data in Google Cloud Big Query to feed internal analytical tools and visualizations, as well as democratize data to business partners across the enterprise. 1 year of experience with each of the following skills is required: 1. Develop data visualizations in Power BI utilizing DAX and Power Apps. 2. Develop data visualizations with Qlik Sense and Vizlib to clearly and concisely present complex market conditions to a diverse audience of business customers. 3. Leverage Alteryx to consolidate disparate data sources, build statistical models, and automate recurring processes. We are offering a salary of $128,710.00 - $188,338.56/yr. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: https://fordcareers.co/GSR-HTHD Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-DNI #DNP

• Architecting the Future: You won't just run experiments; you’ll own the development and testing of deep learning architectures (transformers, embeddings, and NNs) that define how Tilt understands risk. • Driving Strategy Across Teams: You’ll partner with peers in Engineering and Product to ensure our models aren't just "smart" in a lab, but effective and scalable in the real world. • Translating Insights into Solutions: You’ll look past the symptoms of a data problem to find the root cause. You’ll define trade-offs and turn complex findings into clear, actionable solutions for our lending platform. • Owning the Workstream: With general direction from leadership, you will take full ownership of your projects—from initial hypothesis to measuring the outcome for our customers. • Elevating the Craft: You’ll share your findings and mentor others, helping the team grow its deep learning capability and ensuring we stay at the cutting edge of the industry. • Measuring What Matters: You’ll define success not just by model accuracy, but by how your work improves financial outcomes for Tilt’s customers and partners.

The primary purpose of this role is to perform hands-on analysis and serve as the point of contact for the data needs of Mayo Clinic staff (scientists, clinicians, administrators, etc.) creating new insights, conducting research, and/or developing new AI models with Mayo Clinic Platform’s (MCP) de-identified clinical data and data science tools. Mayo Clinic Platform is a federated, privacy-preserving infrastructure that enables partners to contribute and access diverse clinical data for research, AI training, and discovery at unprecedented scale. The Sr. Data Science Analyst will establish and execute on all data-related aspects of the Mayo Clinic Platform’s Shields Enablement Program. The Shields Enablement program is how we bring platform thinking, data, and tools to the diverse staff of Mayo Clinic. The position will be responsible for the following essential functions: - Serve as the primary point of contact for all data-related questions from Mayo Clinic users. Address and triage data questions as they arise and facilitate coordination with data science support teams. - Work directly with MCP’s clinical data and data science support team to make requisite real-world clinical data and tools available for Mayo Clinic data science workspaces. - Plan and scope analytical projects, clean and prepare datasets, perform statistical analyses, and develop and test models for clinical research and deployment projects with Mayo Clinic staff. - Work with Platform services, data, and Shields Enablement staff to onboard new users and execute discovery projects. - Serve as a liaison to technical-related internal and external partnerships to co-develop models, collaborative research, and new discovery of insights - Assist with the creation and collection of metrics to ensure the success of the Shields Enablement Program. The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added or assigned. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking at you—high-achievers, challenge-seekers, and innovation-chasers. Professionals who never shy away from complex problems. We hire the top 1% and let your talents soar. Are you an intellectually curious, deal oriented professional who enjoys coming up with innovative solutions to complex business issues? Connor Group is seeking professionals who want to build off their existing accounting, operational, and industry experience. We execute finance projects and digital solutions projects that add value to our clients within their finance, accounting, and operations, and technology departments. - Hands on design, development, deployment, and maintenance of data analytics, advanced analytics, data science and AI solutions. - Lead end-to-end delivery of data science & advanced analytics engagements. - Translate complex business problems into analytics and machine learning solutions. - Perform diagnostic analytics / causal / driver analysis for complex business problems. - Develop predictive, prescriptive, and optimization models for enterprise use cases. - Conduct exploratory data analysis activities (e.g., basic statistical analysis, hypothesis testing, statistical inferences). - Create machine learning models for tasks like customer segmentation, sales forecasting, and churn prediction. - Design and implement AI-enabled analytics solutions, including forecasting, customer and revenue analytics, risk and anomaly detection, in-process intelligence and optimization. - Select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets. - Perform model assessment & optimization. Apply best practice techniques for model testing and tuning. - Write queries (BigQuery, SQL …) and scripts to gather, clean, and pre-process raw structured and unstructured data for data science tasks. - Build reusable analytics accelerators, frameworks, and industry solutions. - Develop solutions around AI-driven BI, Agentic AI applications, AI-assisted data management, GenAI / LLM based innovative solutions. - Create Proof-of-Concepts, Prototypes for innovative solutions. - Work closely with client stakeholders including CFO, FP&A, operations, and IT leadership. - Mentor and lead teams of data analysts, data engineers, and data scientists. - Facilitate workshops on data strategy, analytics roadmap, and AI adoption. - Serve as a trusted advisor to clients on data-driven decision making. - Support sales and business development activities including proposals and solution architecture. - Present insights and recommendations to senior executives and business leaders. - Ability to manage multiple projects / clients at the same time and work in an agile fashion. - Performing change management support for stakeholders. Qualifications - 10+ years of experience in data analytics, data science, advanced analytics, or machine learning. - 8+ years of experience delivering analytics solutions in a consulting or advisory environment. - Strong expertise in diagnostic analytics, statistical modeling, machine learning, predictive analytics, and optimization techniques. - Highly efficient in Python or R and comfortable with SQL. - Hands-on experience with tools such as Python (pandas, scikit-learn, PyTorch, TensorFlow), SQL, Data science platforms (Databricks, Snowflake, AWS, Azure, GCP). - Experience building production-grade ML pipelines and MLOps workflows. - Must thrive when presenting complex analyses to non-technical stakeholders. - Experience applying statistics, experimental design, and causal inference through professional experience. - Experience developing end-to-end machine learning solutions through professional experience. - Ability to translate business problems into quantitative models and analytics solutions. - Strong executive communication and presentation skills. - Proven experience in enterprise analytics transformation or AI adoption programs. - Experience in Generative AI and LLM-based applications. - Experience with Retrieval Augmented Generation (RAG), AI copilots for analytics, and Agentic AI workflows. - Familiarity with modern data architectures (data lakehouse, data mesh and medallion architecture). - Experience in financial analytics, FP&A, or operational analytics is a plus. - Experience in CRM, ERP, FP&A related technologies, systems and platforms is a plus. - Advanced degree in Data Science, Statistics, Computer Science, Economics, Applied Mathematics, or other quantitative fields. Benefits - Resources and opportunities to help achieve professional goals. - Health insurance packages and wellness programs. - One-on-one coaching program and career development opportunities. - Empowerment through investment in growth, health, and happiness. Company Description Connor Group is committed to celebrating the value of diversity in a globally connected business world. Our team culture is collaborative and encourages team members to take initiative. Our professionals are committed to excellence, growth, and integrity. By focusing on innovation, we continue to raise the bar on excellence and deliver greater value to our clients.