Data scientist jobs in Bowling Green, KY

The Procurement Data Analyst will be a key member of the newly formed Corporate Procurement team at Helix Traffic Solutions, supporting the company's transformation towards a centralized and data-driven purchasing function. This role is critical in analyzing procurement data, optimizing purchasing strategies, and driving operational improvements across a network of diverse business units. The ideal candidate will possess strong analytical capabilities, a solid understanding of procurement and supply chain processes, and a collaborative mindset to help identify and realize cost savings, process efficiencies, and supplier performance enhancements. Core responsibilities will include supporting Request for Proposal (RFP) processes, developing data models and dashboards, conducting market and supplier research, and establishing key procurement performance metrics. The Procurement Data Analyst will help ensure goods and services are sourced in a manner that balances cost, quality, and performance-ultimately enabling sustained organizational growth and value creation. The role will report to the Director of Procurement, who oversees the strategic, operational, and tactical execution of the company's centralized purchasing capabilities. This Director role oversees the procurement and purchasing activities, ensuring that goods and services are sourced cost-effectively and efficiently - balancing cost, quality, and performance to enable our organization's value growth. The procurement organization works cross-functionally with finance, sales operations, risk/safety, legal, and M&A Integration to stay aligned and help the organization stay ahead of needs. If you are a meticulous and strategic-minded procurement professional looking to make an impact in a high-growth organization, we invite you to apply for this exciting opportunity! Key Responsibilities: · Analyze purchasing data from multiple divisions to identify cost-saving opportunities, supplier consolidation strategies, and procurement efficiencies. · Develop and maintain purchasing dashboards (KPI's) and reports to provide visibility into spending trends, supplier performance, and key procurement metrics. · Support the implementation of corporate-wide purchasing initiatives, including standardization of suppliers, contracts, and procurement policies. · Assist in the development and execution of strategic sourcing initiatives by gathering data, conducting market research, and benchmarking industry trends. · Collaborate with divisional procurement teams to ensure alignment with corporate purchasing objectives and compliance with company policies. · Work closely with finance and operations teams to validate cost savings and ensure procurement decisions aligning with budgetary goals. · Utilize ERP to streamline data analysis, reporting, and purchasing workflows. · Monitor supplier performance, lead times, and pricing structures to ensure optimal procurement decisions. Qualifications: · A Bachelor's degree in Supply Chain Management, Business, Finance, or a related field is a plus, but not required. We welcome candidates with equivalent experience. · 3+ years of experience in purchasing, procurement analytics, or supply chain management within a multi-site or high-growth environment. · Experience in M&A environments and centralizing purchasing functions is highly desirable. · Strong analytical and data management skills, with proficiency in Excel, Power BI, and/or other data visualization tools. · Experience working with ERP systems and procurement software, Oracle NetSuite a definite plus · Knowledge of supplier negotiations, contract management, and procurement best practices. · Excellent problem-solving, organizational, and communication skills. · Ability to work cross-functionally and influence decision-making at various levels. Why Join Helix · Be a part of a fast-growing company that is shaping the future of traffic management and roadway safety. · Opportunity to play a pivotal role in building a corporate-wide purchasing function in a dynamic, M&A-driven environment. · Work with a team of industry professionals committed to operational excellence and innovation. · Competitive salary, benefits, and professional growth opportunities.

Apply now Work Type: Office Working Employment Type: Permanent Job Description: This role is a role within the Deposit pricing analytics team in SCMAC. The primary focus of the role is: * To develop AI solutions that are fit for purpose by leveraging advanced data & analytical tools and technology with in WRB. The individual will be responsible for end-to-end analytics solution development, deployment, performance assessment and to produce high-quality data science conclusions, backed up by results for WRB business. * Takes end-to-end responsibility for translating business question into data science requirements and actions. Ensures model governance, including documentation, validation, maintenance, etc. * Responsible for performing the AI solution development and delivery for enabling high impact marketing use cases across products, segments in WRB markets. * Responsible for alignment with country product, segment and Group product and segment teams on key business use cases to address with AI solutions, in accordance with the model governance framework. * Responsible for development of pricing and optimization solutions for markets * Responsible for conceptualizing and building high impact use cases for deposits portfolio * Responsible for implementation and tracking of use case in markets and leading discussions with governance team on model approvals Key Responsibilities Business * Analyse and agree on the solution Design for Analytics projects * On the agreed methodology develop and deliver analytical solutions and models * Partner creating implementation plan with Project owner including models benefit * Support on the deployment of the initiatives including scoring or implementation though any system * Consolidate or Track Model performance for periodic model performance assessment * Create the technical and review documents for approval * Client Lifecycle Management ( Acquire, Activation, Cross Sell/Up Sell, Retention & Win-back) * Enable scientific "test and learn" for direct to client campaigns * Pricing analytics and optimization * Digital analytics including social media data analytics for any new methodologies * Channel optimization * Client wallet utilization prediction both off-us and on-us * Client and product profitability prediction Processes * Continuously improve the operational efficiency and effectiveness of processes * Ensure effective management of operational risks within the function and compliance with applicable internal policies, and external laws and regulations Key stakeholders * Group/Region Analytics teams * Group / Region/Country Product & Segment Teams * Group / Region / Country Channels/distribution * Group / Region / Country Risk Analytics Teams * Group / Regional / Country Business Teams * Support functions including Finance, Technology, Analytics Operation Skills and Experience * Data Science * Anti Money Laundering Policies & procedures * Modelling: Data, Process, Events, Objects * Banking Product * 2-4 years of experience (Overrall) About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: * Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do * Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well * Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. * Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. * Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. * Flexible working options based around home and office locations, with flexible working patterns. * Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits * A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. * Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Apply now Information at a Glance * * * * *

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Hi, I hope you are doing good. I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further. Role: Sr. Data Scientist Duration: Full Time / Permanent Location: Memphis, TN Required Skills: Overall Responsibilities: Senior data scientist. Research various analytical approaches Recommend and develop mathematical algorithms for related business problems Communicate and direct development teams on implementation of statistical models Interface with Business users and gather feedback on delivered analytical data. Deploy solutions on to big data platforms Functional Responsibilities: Specific tasks include but are not limited to: Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD Validation of analytical approaches produced by vendor and 3rd party consulting teams Developing data validation methods Required Skills: Technical / Analytical Skills: Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.) Experience with regression techniques for modeling the relationship between an output variable and several input variables Experience with Big Data technologies Experience with visualization tools like Tableau Experience creating interface specification documents, attribute mapping documents, functional specifications Experience with web scraping Experience with Text Matching applications Nice to have: Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities Essential Skills Strong verbal and written communication skills Strong research skills Python, R, SQL, Hive, Spark Statistical analysis: To understand and work around possible limitations in models Being able to develop hypothesis and test the Hypothesis with careful experiments Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas Should have experience with time series modeling Should have experience with optimization approaches Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools Strong experience in data manipulation using SQL on Hive/Impala or other Databases Experience in developing and deploying model with Mahout, Spark MLLib is preferable. Must be proficient in programming either R/Python/Scala. Should have experience in Financial services industry -Capital market would be preferable Should have exposure to Data Visualization tools: Tableu(Preferable)/Qlickview/Excel Additional Information All your information will be kept confidential according to EEO guidelines.

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Job Description This role focuses on backend development and integrations for building and maintaining enterprise data warehouses and data lakes. The ideal candidate will possess a deep understanding of data architecture, ETL pipelines, and integration technologies, ensuring seamless data flow and accessibility across the organization. Key Responsibilities: · Design, develop, and maintain scalable backend systems to support data warehousing and data lake initiatives. · Build and optimize ETL/ELT processes to extract, transform, and load data from various sources into centralized data repositories. · Develop and implement integration solutions for seamless data exchange between systems, applications, and platforms. · Collaborate with data architects, analysts, and other stakeholders to define and implement data models, schemas, and storage solutions. · Ensure data quality, consistency, and security by implementing best practices and monitoring frameworks. · Monitor and troubleshoot data pipelines and systems to ensure high availability and performance. · Stay up-to-date with emerging technologies and trends in data engineering and integration to recommend improvements and innovations. · Document technical designs, processes, and standards for the team and stakeholders. Qualifications: · Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience considered. · Proven experience as a Data Engineer with 5 or more years of experience; or in a similar backend development role. · Strong proficiency in programming languages such as Python, Java, or Scala. · Hands-on experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, Talend, Informatica, etc.). · Extensive knowledge of relational and non-relational databases (e.g., SQL, NoSQL, PostgreSQL, MongoDB). · Expertise in building and managing enterprise data warehouses (e.g., Snowflake, Amazon Redshift, Google BigQuery) and data lakes (e.g., AWS S3, Azure Data Lake). · Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their data services. · Experience with API integrations and data exchange protocols (e.g., REST, SOAP, JSON, XML). · Solid understanding of data governance, security, and compliance standards. · Strong analytical and problem-solving skills with attention to detail. · Excellent communication and collaboration abilities. Preferred Qualifications: · Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.) · Experience with big data technologies (e.g., Apache Hadoop, Spark, Kafka). · Knowledge of data visualization tools (e.g., Tableau, Power BI) for supporting downstream analytics. · Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins). Please note: Relocation assistance will not be available for this position.

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI