Data Science Internship Jobs in Columbus, OH

About the job Southwestern Advantage is seeking college students from all majors for a paid summer work/internship position. Optional 3 upper division transferrable college credits are available for Communications and Marketing. This is an outside sales internship where students will learn how to run their own business and be effective in creating relationships with consumers. Students will have the opportunity to travel to another state. You will receive 100 to 300 hours of professional sales, leadership, and marketing coaching. The average student will make $10,000 dollars in the summer but top first-year performers make up to $25,000. The ideal candidate for this position will take over the following responsibilities and have these qualifications. Responsibilities • Students will be engaged in consultative sales • Communicating with anywhere with 2 to 5,000 families with all economic backgrounds • Create relationships and build rapport with customers • Direct sales of educational products • Students will execute all ordering, inventory, sales, accounting, scheduling, and delivery of product Qualifications • Must be a college student or college grad • Positive attitude • Goal Oriented • Personal motivation • Strong work ethic • Teachable and coachable • Willingness to learn and develop business skills • Independent decision maker Check us out below! Website: ********************************** Instagram: ****************************************************** Facebook: *********************************************** Reviews: **************************************** For more info call Aiden: ************** ****************************************

We are seeking a highly motivated and innovative Data Analyst with 2-5 years of experience to join our dynamic team. In this role, you will leverage your analytical skills to drive insights that will shape the strategic direction of our business. You will collaborate with cross-functional teams to develop data-driven solutions that address unique business challenges and support key product initiatives. Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista's end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Responsibilities As a Data Analyst, you will have strong attention to detail and accuracy in data analysis, with proven experience in interpreting data, designing metrics, and ability to manage large projects independently, driving them from concept to completion. You resposibilites will include: Design and develop compelling data visualizations and dashboards that effectively monitor, measure, and communicate the impact of product initiatives and business challenges. Work with Product Management, Data Engineering, Client Services, Flight Operations, Finance, and other teams to deliver actionable insights. Investigate complex data questions and present findings in a clear, actionable manner. Ensure data accuracy and integrity in collaboration with data engineering and business teams. Focus on developing and maintaining operational, financial, and customer analytics metrics. You will also be responsible for taking analytic findings and working with stakeholders to implement the methods used within the analysis to drive analytic insight around the findings. Lead the design, development, testing and release efforts for new dashboards and enhancements to existing dashboards. Provide ad-hoc analysis and insights to support business decisions. Required Skills and Experience Master's degree in Business Analytics, Information Technology, Engineering, Data Science, Computer Science, Statistics, or a related field, with at least 2 years of relevant experience. Expertise in SQL, including writing complex queries, optimizing performance, and managing databases. Capable of developing production-level code for organizational implementation. Experience with ETL processes and data modelling, particularly with unstructured data across various business functions. Strong expertise in Tableau for creating impactful data visualizations and report automation, with a strong emphasis on storytelling through data. Customer analytics experience is a plus. Experience with additional BI tools (e.g., Power BI) or programming languages (e.g., Python, R) is a plus. This position is paying between $80,000 - $110,000, depending on the amount of experience.

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are seeking a highly skilled and experienced Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, with a keen eye for detail and the ability to interpret complex data sets. The Data Analyst will be responsible for collecting, organizing, and analyzing large sets of data to provide insights and recommendations to support business decisions. Key Responsibilities: - Collect, organize, and analyze large sets of data from various sources - Develop and implement data collection systems and strategies - Identify patterns and trends in data sets and provide insights and recommendations to support business decisions - Create and maintain databases and data systems - Develop and implement data quality control procedures - Collaborate with cross-functional teams to identify and address data-related issues - Present findings and recommendations to stakeholders in a clear and concise manner - Stay up-to-date with industry trends and best practices in data analysis and reporting Qualifications: - Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field - Proven experience as a Data Analyst or in a similar role - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - Proficient in SQL and data visualization tools such as Tableau or Power BI - Experience with statistical analysis and data mining techniques - Knowledge of programming languages such as Python or R is a plus - Excellent communication and presentation skills - Ability to work independently and in a team environment - Strong problem-solving and critical thinking skills - High level of proficiency in Microsoft Excel and other data analysis tools We offer a competitive salary and benefits package, as well as opportunities for growth and development within the company. If you have a passion for data and a desire to make a significant impact on business decisions, we encourage you to apply for this exciting opportunity.

JobID: 210597907 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $142,500.00-$210,000.00; Jersey City,NJ $142,500.00-$210,000.00; San Francisco,CA $142,500.00-$210,000.00 Join the team that provides expertise in data science and analytics for JP Morgan Private Client! As a Data Scientist Lead, within the JPM Private Client Data and Analytics team, you will be responsible for supporting partner relationships within the Private Client Sales Strategy team through analytical data exploration and reporting on outcomes, ad-hoc deep dives, test design building and reading, and overall portfolio performance analysis. Job responsibilities: * Collaborate with stakeholders to solve quantitative problems and optimize business processes using analytic methods such as predictive modeling, clustering, text mining, machine learning, statistical forecasting, optimization, and simulations. * Lead the analytical optimization of the sales funnel and act as a subject matter expert to identify opportunities that impact sales. * Work with business partners and Technology to set quantifiable goals, advise on strategies, and experiment to achieve business objectives. * Deliver marketing, sales, finance, and business insights through analytics, reporting, and advanced visualization techniques. * Communicate complex analytical results effectively and develop insights from data analysis to make recommendations to management. * Prepare, write, and transform data from diverse sources to support analytical efforts using languages such as Python, SAS, or Scala. * Stay updated on industry trends and test new tools and techniques to address business challenges. Required qualifications, capabilities, and skills: * Masters or PhD in a related field, or bachelor's with 5+ years' experience in a related discipline; 6+ years of related Marketing Analytics experience * Hands-on experience in delivering analytics and insights to multiple levels of management (Including Test Design, Financials, Conversion/Response Reporting, Response Analysis, Incremental Analysis, Response Profiling and Target/Segmentation Analysis) * Advanced knowledge of complex statistical and data science techniques, ML algorithms: linear/logistic regression, Clustering, Decision Trees, Random Forest, Neural Networks, Gradient Boosting, text mining using Machine learning toolkits (Python, R) * Experience working with various databases (Teradata, Oracle), Snowflake, AWS and advanced level database querying languages (SQL, HQL, SparkSQL) with modern cloud-based data architectures. * Technical understanding of data extraction, transformation, and load processing and proficiency in web analytics (Adobe Insight/Adobe Site Catalyst) * Tangible experience with business strategy and tactical implementation, with the ability to define business KPIs and establish measurement frameworks * Strong written and oral presentation / communication skills - the ability to convey complex information simply and clearly to senior business leaders and business partners and influence internal and external partners

Join the team that provides expertise in data science and analytics for JP Morgan Private Client! As a Data Scientist Lead, within the JPM Private Client Data and Analytics team, you will be responsible for supporting partner relationships within the Private Client Sales Strategy team through analytical data exploration and reporting on outcomes, ad-hoc deep dives, test design building and reading, and overall portfolio performance analysis. Job responsibilities: Collaborate with stakeholders to solve quantitative problems and optimize business processes using analytic methods such as predictive modeling, clustering, text mining, machine learning, statistical forecasting, optimization, and simulations. Lead the analytical optimization of the sales funnel and act as a subject matter expert to identify opportunities that impact sales. Work with business partners and Technology to set quantifiable goals, advise on strategies, and experiment to achieve business objectives. Deliver marketing, sales, finance, and business insights through analytics, reporting, and advanced visualization techniques. Communicate complex analytical results effectively and develop insights from data analysis to make recommendations to management. Prepare, write, and transform data from diverse sources to support analytical efforts using languages such as Python, SAS, or Scala. Stay updated on industry trends and test new tools and techniques to address business challenges. Required qualifications, capabilities, and skills: Masters or PhD in a related field, or bachelor's with 5+ years' experience in a related discipline; 6+ years of related Marketing Analytics experience Hands-on experience in delivering analytics and insights to multiple levels of management (Including Test Design, Financials, Conversion/Response Reporting, Response Analysis, Incremental Analysis, Response Profiling and Target/Segmentation Analysis) Advanced knowledge of complex statistical and data science techniques, ML algorithms: linear/logistic regression, Clustering, Decision Trees, Random Forest, Neural Networks, Gradient Boosting, text mining using Machine learning toolkits (Python, R) Experience working with various databases (Teradata, Oracle), Snowflake, AWS and advanced level database querying languages (SQL, HQL, SparkSQL) with modern cloud-based data architectures. Technical understanding of data extraction, transformation, and load processing and proficiency in web analytics (Adobe Insight/Adobe Site Catalyst) Tangible experience with business strategy and tactical implementation, with the ability to define business KPIs and establish measurement frameworks Strong written and oral presentation / communication skills - the ability to convey complex information simply and clearly to senior business leaders and business partners and influence internal and external partners

CURRENT ROOT EMPLOYEES - Please apply using the career page in Workday. This career site is for external applicants only. The Opportunity We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry. At Root, the Quantitative Science team is responsible for the majority of all marketing capital allocation, using quantitative methods to test, maintain, and enhance our marketing strategies across numerous distribution channels. As a Lead Data Scientist II on the Growth Data Science team, you will spearhead R&D initiatives ranging from optimizing campaign strategies to launching experimental campaigns in new channels, particularly those in the mid and upper funnel. With deep experience in full funnel marketing, you will provide domain-wide thought leadership on experimentation, targeting, measurement, and best practices. You will proactively identify new opportunities for expansion and optimization, shepherding solutions from R&D into production. You will influence your leader to help shape and prioritize the team's experimentation roadmap. Root is a “work where it works best” company. This means we will support you working in whatever location that works best for you across the US. Salary Range: $151,200 - $189,000 (Bonus and LTI eligible) How You Will Make an Impact Spearhead the research and development of quantitative marketing models to drive profitable growth Perform rapid testing and rigorous measurement of novel marketing strategies Provide domain-wide thought leadership on mid-upper funnel experimentation, targeting, measurement, and best practices based on industry experience Proactively identify and frame greenfield opportunities for expansion and optimization of direct marketing at Root Build data science pipelines to quickly iterate on research ideas and put them into production Influence tactical and strategic planning for the team, including sprint planning and quarterly goal-setting Take end-to-end ownership of problem domains and continuously improve upon quantitative solutions What You Will Need to Succeed Advanced degree in a quantitative discipline (PhD preferred) and 6+ years of applying advanced quantitative techniques to problems in industry Mid-upper funnel marketing experience Developing targeted, data-driven marketing strategies and deploying them on DSPs such as The Trade Desk, DV360, or Meta Creating and deploying machine learning targeting models for social, video, display, and/or email campaigns Designing and implementing A/B tests to measure the incremental lift of new campaigns Technical Skills: Advanced programming skills with experience using modern packages in Python or R; expertise in databases and SQL; familiarity with version control (e.g. Git) Experience with AWS (or analogous) utilities, e.g., EC2, SageMaker, S3, Athena Excellent business intelligence and visualization skills, with the ability to speak to many different audiences Ownership mentality: takes the initiative to identify, champion, and execute on the highest impact work Ability to consider problems from first principles, with the instinct to use expertise and prior experience to guide by not dictate the solution Preferred but not required: Building and operationalizing media mix models, with rigorous post-deployment analysis of their efficacy Experience using identity graphs to enhance targeting and measurement of marketing campaigns MLOps: experience with automation and building scalable and efficient ML solutions, familiarity with software engineering best practices Insurance industry experience Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Root, Inc., we are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway! Join us At Root, we judge people based on the merit of their work, not who they are. If you are passionate about what this role entails and solving real problems, we encourage you to apply. We want to learn about you and what you can add to our team. Who we are We're harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, we've built one of the most innovative FinTech companies in the world. And we're just getting started. What draws people to Root Our success is in large part due to our unwavering standards in hiring. We recognize that our products are only as good as the people building and promoting them. We want individuals who find solutions by going through the cycle of ideation to implementation with curiosity, rigor, and an analytical lens. Ask anyone who works here and you'll hear similar reasons for why they joined: Autonomy-for assertive self-starters, the opportunities to contribute are limitless. Impact-by challenging the way it's always been done, we solve problems that have a big impact on our business. Collaboration-we encourage rich discussion and civil debate at every turn. People-we are inspired by the collection of crazy-smart people around us.

Are you an expert in converting data into meaningful insights using the industry leading Machine Learning/Business intelligence tools and have interest working in Sales optimization? Then this is the right fit for you !The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. Leverages industry-leading tools, Machine Learning / Business Intelligence to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. As a Data Scientist Lead in the Sales Optimization & Modeling function, you will partner with the various Lines of Business to analyze the performance of the bankers, financial and lending advisors in over 5,000 Chase branches. The role will develop key capabilities to analyze the sales interaction and identify opportunities to optimize how you engage customers with to improve customer acquisition and retention. You must be able to operate in a collaborative environment and will require you to engage with a wide variety of partners to socialize and move forward all Sales initiatives. Job responsibilities Develop the roadmap and execution of strategic initiatives to better manage Chase bankers with data and insights to help leadership identify strategic areas for improvement. Research, develop and implement new methods of measuring and analyzing data sets. Facilitate use case and requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs. Understand the entirety of the sales funnel through incorporation of interaction data, quantification of opportunity and analysis of the pipeline data to identify opportunities. Collaborate across functions and Line of Business to drive Analytics and Insights, formulate quantifiable goals, advise on strategies and experimentation to achieve business goals. Support partnership with key Stakeholders with strong understanding of underlying data Develop advanced analytics using an assortment of modeling methods, algorithms and techniques, e.g., predictive modeling, text mining, statistical forecasting and analysis, optimization, and simulation modeling. Use data analysis techniques to develop insights that lead to new recommendations presented to management. Profile, wrangle, and prepare data from diverse sources to support analytical efforts. Write data transformation logic in languages such as Python, R, or Scala. Required qualifications, capabilities, and skills 6+ years of experience with analysis supporting an operating line of business Bachelors with 5+ years' experience in a quantitative or related discipline Advanced knowledge of complex statistical and data science techniques, ML algorithms: linear/logistic regression, Clustering, Decision Trees, Random Forest, Neural Networks, Gradient Boosting, text mining using Machine learning toolkits (Python, R and SAS) Comfortable communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization Experience working with various databases (Teradata, Oracle), Snowflake, AWS and advanced level database querying languages (SQL, HQL, Spark SQL) with modern cloud-based data architectures Problem-solving skills are essential. Must be able to think outside the box to implement creative solutions that solve business problems. Demonstrated ability to define business KPIs and establish measurement frameworks Proven ability to work in a fast paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. Preferred qualifications, capabilities, and skills Masters or PhD in a quantitative field preferred: Statistics, Applied Mathematics, Computing and Information Theory, Econometrics, Biostatistics, Operations Research, or Industrial / Electrical Engineering Financial services experience preferred. "Relocation is not offered/supported for this role"

Join the team that provides expertise in data science and analytics for JP Morgan Private Client! As a Data Scientist Lead, within the JPM Private Client Data and Analytics team, you will be responsible for supporting partner relationships within the Private Client Sales Strategy team through analytical data exploration and reporting on outcomes, ad-hoc deep dives, test design building and reading, and overall portfolio performance analysis. Job responsibilities: Collaborate with stakeholders to solve quantitative problems and optimize business processes using analytic methods such as predictive modeling, clustering, text mining, machine learning, statistical forecasting, optimization, and simulations. Lead the analytical optimization of the sales funnel and act as a subject matter expert to identify opportunities that impact sales. Work with business partners and Technology to set quantifiable goals, advise on strategies, and experiment to achieve business objectives. Deliver marketing, sales, finance, and business insights through analytics, reporting, and advanced visualization techniques. Communicate complex analytical results effectively and develop insights from data analysis to make recommendations to management. Prepare, write, and transform data from diverse sources to support analytical efforts using languages such as Python, SAS, or Scala. Stay updated on industry trends and test new tools and techniques to address business challenges. Required qualifications, capabilities, and skills: Masters or PhD in a related field, or bachelor's with 5+ years' experience in a related discipline; 6+ years of related Marketing Analytics experience Hands-on experience in delivering analytics and insights to multiple levels of management (Including Test Design, Financials, Conversion/Response Reporting, Response Analysis, Incremental Analysis, Response Profiling and Target/Segmentation Analysis) Advanced knowledge of complex statistical and data science techniques, ML algorithms: linear/logistic regression, Clustering, Decision Trees, Random Forest, Neural Networks, Gradient Boosting, text mining using Machine learning toolkits (Python, R) Experience working with various databases (Teradata, Oracle), Snowflake, AWS and advanced level database querying languages (SQL, HQL, SparkSQL) with modern cloud-based data architectures. Technical understanding of data extraction, transformation, and load processing and proficiency in web analytics (Adobe Insight/Adobe Site Catalyst) Tangible experience with business strategy and tactical implementation, with the ability to define business KPIs and establish measurement frameworks Strong written and oral presentation / communication skills - the ability to convey complex information simply and clearly to senior business leaders and business partners and influence internal and external partners

Company DescriptionJobs for Humanity is collaborating with Safelite to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life. Company Name: Safelite Job Description Does this position interest you? You should apply - even if you don't match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work. This Data Scientist is instrumental in the development of insights, models, and advanced analyses to drive measurable, profitable data-driven decision-making across Safelite's business. This position combines disparate data from multiple internal and external sources, determines the best model to address the business question at hand, creates actionable insights, and contributes to a holistic understanding of consumer behavior as it relates to Safelite products and services. What You'll Do Identify and apply optimal statistical analysis, supervised, and unsupervised modeling techniques to drive decision-making and KPI improvement; techniques may include A/B and multivariate testing, predictive analysis, clustering, anomaly detection, and exploratory analyses. Discover, quantify, and make actionable data-driven conversion opportunities across a variety of data domains, including customer experience, supply chain, and field operations. Manage the modeling and insights portion of the data science pipeline independently, from data tidying, preparation, and visualization to model creation and training; support and learn from senior team members to expand into the data acquisition and model deployment portions of the data science lifecycle. Support the testing of key conversion and pricing strategies, including the ability to model and present key financial results and outcomes. Performs other duties as assigned. Comply with all policies and standards. What You'll Need Bachelor's degree in Statistics, Analytics or related quantitative field Minimum 1-3 years relevant experience as a data scientist or advanced analyst Strong problem-solving skills, detail-oriented, and ability to manage multiple projects simultaneously. Experience with modeling for practical business execution: Demonstrated expertise in developing, validating, and implementing models that have driven concrete business value. Strong in Microsoft Excel and Tableau or similar BI tools, with direct experience presenting model driven insights and trends to stakeholders. Demonstrated competence in tidying, visualization, descriptive and predictive statistical analysis, machine learning, and model delivery using at least one modern open-source statistical programming language. Intermediate understanding of applied statistics and fundamental machine learning concepts. Familiarity with and understanding of e-commerce, digital and voice lead channels, and B2C pricing strategies. Intermediate SQL skills: Demonstrated experience querying databases and integrating data from multiple sources. Intermediate experience with top statistical programming languages (i.e., R or Python) #LI-TD1 #LI-Hybrid -- Internal Associates: Already a member of the Safelite team? Apply through your Workday account by searching 'Find Open Jobs'. Diversity: Safelite welcomes everyone. We value our diverse workforce and suppliers, and we're proud to be an equal opportunity employer. Learn more at Safelite.com/Careers. Benefit amounts are estimates only. Actual values will depend on benefit elections during enrollment. This position description is not all inclusive for every aspect of this role. Reasonable accommodation will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job's essential duties because of an ADA disability. Other qualifications may be required to ensure employment eligibility in accordance with local laws and regulations and with Safelite Group, Inc. policies and practices. --

**_What Data Science contributes to Cardinal Health_** The Data and 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. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **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:** 4/18/2025 *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 (***************************************************************************************************************************

Description & Requirements This role offers hands-on experience in supporting our Business Development teams to identify and engage with potential partners. This role will focus on providing research and analyzing small businesses and technology partners, including SBIR (Small Business Innovation Research) awardees, to help Maximus expand its partnerships and innovative solutions in the federal space. Essential Duties and Responsibilities: - Conduct business analysis to support the Business Development department. - Support process improvements and project deliverables. - Research potential market trends. - Assist in special projects in the Business Development department. - Assist with ad-hoc reporting and other tasks. Maintain and update partnership database, ensuring accurate records of potential and existing partner interactions. Assist in preparing reports, presentations, and briefing materials for internal stakeholders. Minimum Requirements - Currently enrolled in an accredited college or university and pursuing a college degree in a related field. - Must have completed a minimum 2 years of coursework. - Ability to perform comfortably in a fast-paced, deadline-oriented work environment. - Skilled in standard computer applications and platforms such as Outlook and MS Office Suite, PowerPoint, and Excel. - Excellent interpersonal communication, teamwork, and customer service skills. - Demonstrated ability to juggle multiple priorities with superior attention to detail. Strong research and analytical skills with an interest in government contracting and small business development. Excellent communication and writing skills, with the ability to summarize findings clearly and concisely. Proficiency in Microsoft Office (Excel, PowerPoint, Word) and ability to work with data. EEO Statement Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce. We recognize your unique skills and experiences, and want to provide you with a career path that allows you to continue making a difference for our country. We're proud of our connections to organizations dedicated to serving veterans and their families. If you are transitioning from military to civilian life, have prior service, are a retired veteran or a member of the National Guard or Reserves, or a spouse of an active military service member, we have challenging and rewarding career opportunities available for you. A committed and diverse workforce is our most important resource. Maximus is an Affirmative Action/Equal Opportunity Employer. Maximus provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disabled status. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Minimum Salary $ 22.00 Maximum Salary $ 26.00

Brooksource is a hiring a Data Scientist/Research Engineer to join our client's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Defense business line. We are looking for someone with knowledge of physical/mathematical phenomena and are programming savvy. The Hazard Modeling Team within CBRNE Defense provides its customers with technical analyses as well as modeling capabilities to inform their preparedness and response planning efforts to mitigate risk to the United States or their company. *MAJOR RESPONSIBILITIES* * Lead model development and data analysis activities concerning inhalation, ingestion, dermal, and radiation exposure hazards, response to CBRNE events, and decision support. * Perform rigorous mathematical and statistical analysis on large data sets. * Design and develop graphical user interfaces for mathematical models. * Direct code testing for accuracy and performance. * Test model code for accuracy and performance. * Collect, reduce, process, and present model input and output data. * Write reports of methods used and results obtained. *THE FOLLOWING IS REQUIRED* * Education reflecting on of the following: * Bachelor's with 2+ years of experience, Master's, or Ph.D. in Physics, Physics engineering, Mathematics, Biology, Chemistry, Statistics, or Engineering with a minor, certificate, or emphasis in computer science or relevant work experience requiring computer programming. * Strong understanding higher-level mathematics (e.g., calculus, differential equations, linear algebra). * Ability to learn and understand new programing languages and mathematical concepts. * Must be eligible to obtain and maintain a Secret DoD clearance. *THE FOLLOWING IS DESIRED* * 3 to 8 years of experience in modeling & simulation, statistical analysis, quantitative risk assessment, data science, or related field. * Knowledge of advanced statistics and/or probability. * Experience in modeling & simulation on a government program. * Experience using object-oriented programming in C++, C#, Java, or similar to develop mathematical models. * Experience with advanced data analysis techniques, such as machine learning, artificial intelligence, or natural language processing. _Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws._ Job Type: Full-time Pay: $90,000.00 - $100,000.00 per year Compensation Package: * Hourly pay Schedule: * 8 hour shift * Day shift * Monday to Friday Location: * Columbus, OH 43201 (Required) Ability to Commute: * Columbus, OH 43201 (Required) Ability to Relocate: * Columbus, OH 43201: Relocate before starting work (Required) Work Location: In person

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **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 + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **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:** 1/26/2025 *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 (***************************************************************************************************************************

JobID: 210602984 JobSchedule: Full time JobShift: Day : If you are passionate about Predictive Science, join us to leverage Artificial Intelligence (AI)/Machine Learning (ML) and analytics for anticipating trends and driving informed decisions. As a Lead Data Scientist in Workforce Planning (WFP), you will spearhead the development and implementation of advanced AI/ML solutions to address complex, data-intensive challenges within the organization. You will be responsible for quickly assessing unstructured problems, devising innovative problem-solving strategies, and delivering impactful data science solutions that enhance real-time inference and decision-making capabilities. Your role will involve analyzing key topics, developing solution proposals, and collaborating with management to prioritize, time, and deliver projects that align with business objectives. You will lead efforts in data management, model development, and continuous improvement, ensuring that solutions are efficient, ethical, and aligned with the company's strategic goals. Your expertise will be pivotal in driving the next generation of data-driven decision-making processes within the workforce planning domain. The WFP organization is a part of Consumer and Community (CCB) Operations division. The WFP Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP organization supports Chase's call centers, back office, and 5,200 retail branches. Job Responsibilities * Design and development of Machine Learning, Artificial Intelligence and Statistical models. * Lead Artificial Intelligence (AI)/Machine Learning (ML) projects along with mentor and coach junior team members. * Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. * Identify and select the correct method to solve the problem while staying up to data on the latest AI/ML research * Ensure the robustness of any data science solution. * Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story. * Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required Qualifications, Capabilities, and Skills * Master's Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines. * 2+ years of experience leading AI/ML projects with multiple team members * Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models. * Deep understanding of math and theory behind AI/ML algorithms. * Proficient in data science programming languages like Python, R or Scala. * Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.). * Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred Qualifications, Capabilities, and Skills * Advanced expertise with Time Series and Operations Research techniques. * Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills. * Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP). * Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 7. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 8. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Join the team that provides expertise in data science and analytics for JP Morgan Private Client! As a Data Scientist Lead, within the JPM Private Client Data and Analytics team, you will be responsible for supporting partner relationships within the Private Client Sales Strategy team through analytical data exploration and reporting on outcomes, ad-hoc deep dives, test design building and reading, and overall portfolio performance analysis. Job responsibilities: Collaborate with stakeholders to solve quantitative problems and optimize business processes using analytic methods such as predictive modeling, clustering, text mining, machine learning, statistical forecasting, optimization, and simulations. Lead the analytical optimization of the sales funnel and act as a subject matter expert to identify opportunities that impact sales. Work with business partners and Technology to set quantifiable goals, advise on strategies, and experiment to achieve business objectives. Deliver marketing, sales, finance, and business insights through analytics, reporting, and advanced visualization techniques. Communicate complex analytical results effectively and develop insights from data analysis to make recommendations to management. Prepare, write, and transform data from diverse sources to support analytical efforts using languages such as Python, SAS, or Scala. Stay updated on industry trends and test new tools and techniques to address business challenges. Required qualifications, capabilities, and skills: Masters or PhD in a related field, or bachelor's with 5+ years' experience in a related discipline; 6+ years of related Marketing Analytics experience Hands-on experience in delivering analytics and insights to multiple levels of management (Including Test Design, Financials, Conversion/Response Reporting, Response Analysis, Incremental Analysis, Response Profiling and Target/Segmentation Analysis) Advanced knowledge of complex statistical and data science techniques, ML algorithms: linear/logistic regression, Clustering, Decision Trees, Random Forest, Neural Networks, Gradient Boosting, text mining using Machine learning toolkits (Python, R) Experience working with various databases (Teradata, Oracle), Snowflake, AWS and advanced level database querying languages (SQL, HQL, SparkSQL) with modern cloud-based data architectures. Technical understanding of data extraction, transformation, and load processing and proficiency in web analytics (Adobe Insight/Adobe Site Catalyst) Tangible experience with business strategy and tactical implementation, with the ability to define business KPIs and establish measurement frameworks Strong written and oral presentation / communication skills - the ability to convey complex information simply and clearly to senior business leaders and business partners and influence internal and external partners