Set technical vision for data representations and tokenization strategies, develop unified training frameworks for biological data, and lead cross-functional initiatives to align technical execution with scientific goals, mentoring senior contributors.

Title: Data Scientist, Specialist Location: Philadelphia, PA Job Description: Responsibilities: - Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment. - Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts. - Establishes and enforces data quality standards for modeling use, including diagnosing data issues, documenting assumptions and limitations, and filling data gaps in ways that balance rigor, practicality, and risk. - Partners with senior leadership to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. - Guides research design, model evaluation, validation, and monitoring strategies, providing expert judgment on model performance, stability, and appropriate use. Serves as a trusted technical voice on cross‑functional initiatives involving advanced analytics or machine learning. - Builds reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, and scalability across the predictive and analytics community. - Prepares and delivers clear, insightful presentations with recommended actions. Communicates complex analytical findings and implications to business leaders. - Participates in special projects and performs other duties as assigned. Qualifications: - Minimum of five years of related work experience in data science or analytical roles. Strong experience utilizing statistical and machine learning methods required. Experience with large language models, knowledge graph and generative AI required. - Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and associated AI services and tools. - Strong stakeholder Management and excellent communication skills. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

Title: Statistician/Data Scientist - Data Insights and Decision Support Location: GM Global Technical Center - Cole Engineering Center Tower Job Description: Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Warren GM Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role Business Insights & Decision Support will use data to help the business make better decisions across Quality, Software & Services, and Engineering. This role focuses on interpreting analyses, generating insights, and telling the story behind the numbers, rather than heavy coding or data engineering. The ideal candidate is comfortable working with data, but excels at translating results into clear recommendations for business partners. What You’ll Do - Partner with business stakeholders to clarify questions, frame problems, and define success metrics. - Translate ambiguous business issues into structured analytical questions and practical approaches. - Use BI tools (e.g., Power BI, Tableau) and statistical methods (e.g., hypothesis framing, sampling, segmentation, variability) to explore data and identify trends, patterns, and anomalies. - Develop and interpret descriptive and diagnostic analyses (e.g., trends over time, segmentation, cohort analysis, root cause analysis). - Connect analytical findings to business context and clearly explain “what this means” and “what to do next.” - Synthesize analyses into clear narratives and executive-ready communications tailored to non-technical audiences. - Communicate trade-offs, limitations, and assumptions in a way that supports sound decision-making. - Facilitate discussions around insights, align actions, and track follow-up results. - Identify opportunities to improve data quality, metric definitions, and reporting consistency in partnership with IT/data engineering. - Document analytic approaches, business logic, and metric definitions for reuse and transparency. Your Skills & Abilities (Required Qualifications) - 7+ years of experience - ​BA or BS in relevant field or equivalent real-world experience - Solid understanding of statistical concepts applied to business decisions (e.g., distributions, sampling, variability, correlation vs. causation, and practical significance). - Demonstrated ability to interpret data and explain insights to non-technical audiences. - Strong written and verbal communication skills, with experience creating clear, concise presentations for stakeholders. - Experience in a business-facing analytics role supporting operations, product, quality, or customer experience. - Experience working with large or complex datasets and collaborating with data engineers/IT for data access and structure (without needing to own pipelines). - Proven cloud experience and familiarity with at least one cloud platform (Azure preferred) - Business Acumen: Ability to quickly understand business processes and connect insights into financial and operational outcomes. - Critical Thinking: Comfortable challenging assumptions, probing for root causes, and weighing multiple explanations. - Data Storytelling: Skilled at turning analyses into clear narratives with a logical flow from question → approach → findings → implications → recommendations. - Collaboration: Works effectively with cross-functional partners, including business leaders, IT, and data engineering. - Action Orientation: Focused on outcomes and decisions, not just reports; drives follow-through on insight-driven actions. What Can Give You a Competitive Edge (Preferred Qualifications): - Master’s degree in Statistics, Mathematics, Industrial Engineering, or Business Analytics - Experience in manufacturing, automotive, or industrial environments, or other data-rich operational settings. - Experience with tools such as Databricks, python, and SQL This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: - The expected base compensation for this role is: $134,700 - $211,950. Actual base compensation within the identified range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment.

Role Description Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. - Work on the latest applications of data science to solve business problems - Work directly with client stakeholders to translate business problems into high level analytics solution designs - Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value - Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably - Design and develop machine learning and Generative AI solutions using RAG - Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph - Develop agentic AI workflows for automation, insights generation, and decision support - Implement Document Intelligence solutions for extracting insights from unstructured data - Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights - Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions Qualifications - 6+ years of experience working as a GenAI Data Scientist - Proficiency in Python and SQL - Experience with MLflow and model lifecycle management - Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git - Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications - Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.) - Experience with Bedrock, JumpStart, HuggingFace - Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming) - Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning - Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.) - Experience developing models from inception to deployment - 5-10 years of professional work experience with at least 5 years in Data Science - Experience building end-to-end ML pipelines in production - Familiarity with CI/CD pipelines, monitoring, and model governance - Ability to design scalable and reliable AI systems - Bachelor's in Business Analytics or equivalent work experience Benefits - Significant career development opportunities exist as the company grows - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility Company Description Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.