About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team: We are seeking an experienced Staff Data Scientist to join our Data Operations & Enrichment team. Our team is responsible for identifying and coordinating the long-term data needs for the company and ensuring efficient use of quality datasets across the organization. This includes dataset profiling, data retention strategies, integration and partnership opportunities, and conducting data collection campaigns that enable product development. What You’ll Do: - Lead and actively participate in conceptualizing, designing, and deploying cutting-edge machine learning and data science models, algorithms, and predictive analytics to address intricate challenges in autonomous vehicle technology. - Collaborate closely with multidisciplinary teams to identify opportunities for data-driven solutions, utilizing your data science expertise to optimize our self-driving truck systems and refine operational processes. - Analyze extensive datasets to unveil significant trends, patterns, and insights, leveraging sophisticated statistical techniques and data manipulation. - Partner across engineering departments including Data Engineering and ML Ops teams to develop and manage robust data pipelines that ensure data integrity, reliability, and consistency throughout the data lifecycle, supporting the advancement of our self-driving truck capabilities. - Provide mentorship and guidance to junior data scientists and data analysts, fostering skill development and knowledge sharing that uplifts the entire team. - Present complex findings and insights in a clear, compelling manner to technical and non-technical stakeholders, influencing strategic decisions and driving the progress of autonomous vehicle technology. - Remain at the forefront of industry trends, emerging technologies, and best practices in data science and machine learning, proactively applying your knowledge to elevate existing methodologies. What You’ll Need to Succeed: - Bachelor’s, Master's, or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - 8+ years of professional experience in data science or related roles, demonstrating hands-on experience in developing and deploying machine learning models within real-world applications. - Proficiency in pertinent programming languages such as Python, along with expertise in utilizing data analysis libraries (e.g., NumPy, pandas, scikit-learn). - Strong grounding in statistics and mathematics, encompassing skills in hypothesis testing, regression analysis, clustering, and time series analysis. - A proven track record of successfully leading and executing intricate data science projects, spanning problem formulation, data preprocessing, model selection, and evaluation. - Expertise in diverse machine learning techniques, including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning. - Proficiency in working with big data technologies like Hadoop, Spark, or other distributed computing frameworks. - Demonstrated experience processing large volumes of sensor data and applying time series data analysis techniques. - Deep understanding of SQL querying in data warehouses and experience leveraging business intelligence tools (e.g. Tableau, PowerBI, AWS Quicksight, Ploty, Matplotlib) for data visualization. - Excellent analytical and problem-solving prowess, coupled with the ability to approach challenges with inventiveness and creativity. - Excellent communication skills to effectively convey technical findings and concepts to both technical and non-technical stakeholders. - Adaptability to thrive within a fast-paced, collaborative environment, managing multiple priorities and deadlines with finesse. - Excellent interpersonal, verbal, and written communication skills to build trust and strong working relationships, effectively create and proofread documents and reports, and communicate to a diverse workforce. - Keen attention to detail to identify problems and processes that don’t comply with protocol. - Critical/logical thinking to identify problems and provide solutions to ensure efficiency, safety, and quality. - Excellent business insight and judgment, team orientation and collaborative style. - Keen time management and organizational skills to plan, develop, coordinate resources, prioritize effectively, and maintain competing demands simultaneously with frequent interruptions and in a fast-paced environment. - Ability to ethically handle sensitive and confidential information with impartiality and professionalism. Bonus Points! - Past work experience in the automotive ADAS or Autonomous Vehicle domain. - Past work experience with AWS Lamba and SageMaker services. - The ability to write complex SQL queries and work effectively in any functional programming language for numerical analysis purposes. - Solid adherence to data driven development and design, with an experimental and analytical approach to product improvement. At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: R-102496 Hiring Range for Job Opening US Pay Range $186,200—$223,400 USD

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. We are seeking a highly skilled and action-oriented Analytics Lead to join the People Analytics organization and drive the next evolution of our data infrastructure, modeling, and reporting capabilities.The People Analytics team builds and maintains the data foundations that power key talent programs across Affirm, including Talent Acquisition, Total Rewards, Feedback & Development, and core employee data. The team drives the design, modeling, and reporting of high-quality, trusted people data, partnering closely with the business to deliver insights and data products that enable informed decisions. In this role, you will serve as the technical lead for our people data ecosystem—designing scalable architecture, setting engineering standards, and partnering across the business to deliver high-value, trusted data products. The ideal candidate brings strong analytical engineering expertise, a strategic mindset, an innate sense of curiosity, and the ability to lead through influence. You will play a key role in shaping our data roadmap, introducing modern tooling and automation, uplifting engineering best practices, and mentoring other analytics engineers. Join our team and help build the next generation of People Analytics at Affirm. What You'll Do: - Design and deliver relational and non-relational database models, data pipelines, reporting, and visualization solutions while supporting all phases of the analytics development life cycle (ADLC), including requirements gathering, design, development, testing, and deployment. - Develop, maintain, and scale robust ETL/ELT pipelines across HR data sources (e.g., Workday, Greenhouse Recruiting, internal tools such as Arbor), ensuring reliability, performance, and extensibility. - Architect and implement scalable data models optimized for analytical querying and long-term maintainability. - Ensure data quality, integrity, and reliability across all data assets, introducing automation and best practices for monitoring and validation. - Collaborate with People Analytics stakeholders to translate requirements into sound technical solutions and influence longer-term data architecture decisions. - Manage and optimize cloud data warehouse infrastructure (e.g., Snowflake), including performance tuning, cost management, and secure access patterns. - Leverage AI and LLMs to automate data quality checks, enhance metadata management, and extract insights from unstructured HR data. - Stay current on technology best practices and advocate for engineering excellence across the People Analytics team. - Own and manage data governance, security, privacy, and retention standards across all People Analytics systems. What We Look For: - 5+ years and expertise with dbt (Data Build Tool), SQL and Python required; including: - Experience writing clean, computationally efficient code involving ETL processes and data manipulation via dbt, SQL, and Python. - Demonstrated ability to design and build efficient, analytics-ready data models in dbt, transforming raw or unstructured data into well-defined marts. - Comfort with production level IDEs (e.g., Cursor, Visual Studio) and Version Control (e.g., git, specifically GitHub). - Experience using standard Python analysis packages (e.g., Pandas, NumPy). - Experience with the following required: - Snowflake or other cloud data warehouse. - Sigma or other modern BI platform. - Fivetran or similar integration platform for integrating structured, unstructured, or unclear data formats. - Airflow or other orchestration platform. - Experience with the following preferred: - Leveraging LLMs for data transformation or analysis; MLOps. - Data lakes and/or Iceberg table format. - Custom data application development using Python or similar language (i.e. Streamlit dashboards, Slackbots). - Additional Qualifications: - Strong sense of ownership, intellectual curiosity, and the ability to think creatively and critically in a dynamic, fast-paced, and ambiguous environment. - Demonstrated ability to provide technical leadership, influence cross-functional partners, and mentor other team members. - Excellent communication skills and comfort translating technical topics for non-technical audiences. Pay Grade - M Equity Grade - 8 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $180,000 - $230,000 USA base pay range (all other U.S. states) per year: $160,000 - $210,000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents - Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Cotiviti is currently looking to add an industry leading Data Scientist II who is focused on machine learning solutions to join a revolution in Healthcare Technology and build value-oriented, production level machine learning solutions. This role is not for the research-oriented data scientist, but rather should be of interest to those that want to apply their knowledge and experience to real world problems, and seek to utilize Artificial Intelligence and Machine Learning to reduce the cost of healthcare and improve health quality and outcomes. - Work with key stakeholders both within R&D and Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and AI techniques. - Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential AI/ML use cases. - Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work. - Prepare your final trained model and develop a validation test set for QA. - Work with production operations to deploy your model into production and support them in monitoring model performance. - Participate in other data science teams collaborating with your peers to support their projects. - Participate in knowledge sharing sessions to bring new insights and technologies to the team. - Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform. - Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption. - Complete all responsibilities as outlined in the annual performance review and/or goal setting. - Complete all special projects and other duties as assigned. - Must be able to perform duties with or without reasonable accommodation. Qualifications - MS or PhD Degree in relevant discipline (Math, Statistics, Computer Science, Engineering or Health Sciences) or commensurate professional work experience. - 4-7 years’ experience in advanced analytics. - 3+ years’ experience in working in Big Data environments. - Experience developing machine learning models in an exploratory data analytics environment and working with others to develop production ready versions of the models that are deployed within operational environments. - Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, PyTorch, pandas, numpy, scikit-learn, spark, scala, hive, impala. - Significant experience with SQL, ability to write SQL queries to efficiently extract data from relational databases. - Applied Machine Learning: Application of a variety of machine learning techniques to increase identification of payment integrity issues for our clients, reduce the cost of auditing processes or increase the quality of care and outcomes. Must have implemented machine learning solutions within production environments at scale. - Big Data Analysis: Strong ability to manage and analyze data in a Big Data environment using a variety of scripts, potentially including but not limited to Scala/Spark and Python as well as Cloud based ML/AI capabilities. Requirements - Knowledge or experience of DevOps lifecycle tools like GitHub/Gitlab/BitBucket, Jenkins, Jira. - Experience in natural language processing (NLP) techniques. - Experience in deep learning techniques. - Proficiency in applying various mathematical and statistical models to include, but not limited to: Random Forest, Gradient Boosting, Time Series, Collaborative Filtering, and Unsupervised Clustering. - Experience or knowledge of the health insurance industry in the U.S. Benefits - Base compensation ranges from $110,000.00 to $140,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. - Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti.

Requisition Number: 2342973 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Uses a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data. Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data. This function is not intended for employees performing the following work: less complex analysis on small data sets; rules-based algorithmic or descriptive analytics; development of big data infrastructure. Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Uses a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data. Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data. This function is not intended for employees performing the following work: less complex analysis on small data sets; rules-based algorithmic or descriptive analytics; development of big data infrastructure. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Clearly communicate with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional ML - Document findings, create reports, and present results to stakeholders - Design, and develop job aids and guidance documentation for best practices of responsible AI - Develop Python scripts to automate testing processes and analyze results - Help identify vulnerabilities related to PII/PHI exposure in AI interactions - Maintain test data sets and contribute to improving testing methodologies - Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work - Provide mentorship and guidance to colleagues, fostering a culture of continuous learning and improvement You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 3+ years of experience with the full ML system development, deployment, and maintenance lifecycle - 3+ years of experience working with advanced NLP models and methodologies - 3+ years of experience with python and ML frameworks (e.g., scikit-learn, Pandas, Numpy) Preferred Qualifications: - Deep understanding of ethical considerations and fairness in AI model development - Proven solid analytical thinking and problem-solving abilities - Proven excellent written and verbal communication skills *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.