• 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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Executive Director of Advanced Analytics & Data Science is a senior leadership role at the forefront of BeOne’s ambition to turn data, analytics, and AI into a competitive advantage. This leader will shape and accelerate the company’s vision for advanced analytics and ML/AI application, driving strategic priorities and operational excellence across the global commercial organization. As a trusted strategic partner to the business, you will define and execute a world‑class global commercial analytics strategy, fuel cross‑functional collaboration, and champion bold innovation. You will lead and inspire a high‑performing team of analytics and data science experts to deliver scalable, high‑impact solutions—spanning advanced analytics, machine learning and AI, predictive modeling, marketing mix optimization, digital and channel analytics, and decision engines / next best action—to inform strategy and power execution. Success in this role requires deep technical expertise, a relentless passion for data‑driven problem solving, and a proven track record of building and developing exceptional teams. Key Responsibilities - Strategic Analytics Leadership: - Define and lead a compelling vision for advanced analytics, data science, and AI—directly shaping BeOne’s strategic direction and commercial success. - Build, inspire, and scale a high‑performing analytics organization that delivers insights leaders rely on to drive decisions across market access, marketing, and business operations. - Champion a culture of innovation, accountability, and data‑driven decision‑making, where analytics is embedded in how the business thinks and acts. - Data‑Driven Insights: - Design and deploy sophisticated analytics frameworks—including segmentation, predictive modeling, promotional response, risk assessment, and patient journey analytics—to unlock growth and improve outcomes. - Serve as a strategic advisor to commercial leadership, influencing planning, market opportunity assessments, and product strategy with rigorous, insight‑led thinking. - Cross‑Functional Collaboration: - Partner closely with leaders across marketing, market access/HEOR, clinical, regulatory, finance, and sales to solve the company’s most complex and high‑impact business challenges. - Collaborate with medical affairs and clinical trial teams to enhance program effectiveness, optimize resource allocation, and extend the value of analytics across the enterprise. - Innovative Technologies & Methodologies: - Lead the adoption and scaling of machine learning, AI, and GenAI analytical solutions to drive step‑change improvements in efficiency, effectiveness, and insight generation. - Stay at the forefront of innovation in oncology, life sciences, and analytics—ensuring BeOne continues to differentiate and lead in a rapidly evolving landscape. - Thought Leadership: - Build strong relationships with external partners, vendors, and key opinion leaders to accelerate innovation and expand BeOne’s analytics ecosystem. - Team Development & Organizational Impact: - Recruit, mentor, and retain top analytics and data science talent, creating a high‑performance culture where people grow and thrive. - Define clear goals, KPIs, and value metrics to demonstrate the tangible business impact of analytics and AI initiatives. - Ensure analytics practices consistently meet the highest standards of ethics, compliance, and data integrity. Qualifications - 15+ years of experience in commercial analytics, including 5+ years leading data science and AI/ML initiatives within healthcare or life sciences. - Proven experience working with oncology and/or rare disease datasets strongly preferred. - 7+ years of leadership experience building, scaling, and leading high‑performing analytics teams in biotech or pharmaceutical environments. - Deep, hands‑on expertise in data science, machine learning, statistical modeling. - Demonstrated experience implementing and scaling generative and agentic AI analytical solutions in real‑world business settings. - Strong business acumen with a track record of translating advanced analytics into strategic and operational impact. - Experience partnering effectively with business stakeholders across clinical, medical affairs, regulatory, and enterprise functions. - Exceptional leadership capabilities, with a passion for coaching, developing, and inspiring talent (direct and indirect). - Excellent communication and influence skills, with the ability to drive change, align stakeholders, and articulate a compelling analytics and data science vision. Global Competencies - Fosters Teamwork - Provides and Solicits Honest and Actionable Feedback - Self-Awareness - Acts Inclusively - Demonstrates Initiative - Entrepreneurial Mindset - Continuous Learning - Embraces Change - Results-Oriented - Analytical Thinking/Data Analysis - Financial Excellence - Communicates with Clarity Salary Range $269,600.00 - $349,600.00 annually. BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Benefits - Medical - Dental - Vision - 401(k) - FSA/HSA - Life Insurance - Paid Time Off - Wellness Equal Opportunity Employer We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.