Data Science Internship Jobs in Reynoldsburg, OH

Columbus, OH Contract-to-Hire 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). At least one year of experience with project management or task leadership with proven ability to meet project deadlines on schedule and in budget. Ability to learn and understand new programing languages and mathematical concepts. Must be a U.S. Citizen with the ability 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.

About Outlier Outlier is the world's leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Biology experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Biology Develop and answer Biology-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Master's degree or higher (PhD preferred) in Biology or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Biology experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

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.

Are you a highly motivated college student eager to gain hands-on experience and build your business skills? Kimball Midwest, a national leader in maintenance, repair, and operation products, is looking for a dynamic Data Governance Intern to join our team in Columbus, OH. This is your chance to dive into the world of IT data, work on impactful projects, and grow your career with a company that values innovation and excellence. As a Kimball Midwest associate, you will experience why we have been recognized as one of the Top Workplaces in Columbus TWELVE years in a row! Our sales revenue growth is dynamic, increasing from $1 million in 1983 to over $500 million today. Throughout all our growth we have kept the family owned and operated culture alive. At Kimball Midwest, you are a name and not a number and we pride ourselves on our unique culture. Responsibilities Take ownership of a project related to data governance, Microsoft Purview, governance of terms, or data lineage, making a tangible impact on the organization. Learn about data management, classifying, organization, and retention policies. Collaborate with a diverse team of data developers, IT leaders, and business stakeholders to ensure top-notch data quality and thorough documentation. Partner with architects to support and drive data governance initiatives. Contribute to the development and maintenance of robust data governance standards, controls, and processes. Assist in creating and maintaining a comprehensive data glossary and data catalog. Engage in dynamic discussions to refine and enhance data governance practices and policies. Integrate data governance tools and technologies into the organization's data ecosystem. Qualifications Currently enrolled in a bachelor's degree program in Computer Science, Software Engineering, or related field. Strong communication and collaboration skills. Ability to work independently and within a team. Detail-oriented with strong analytical skills. Additional Information We offer a benefits package that includes health, dental and vision insurance, company sponsored life, optional life and disability insurance, Health Savings Accounts and Flexible Spending Accounts, a 401(k) plus match, Tuition Assistance, Paid Parental Leave, Paid Time Off (PTO), a Dress for your Day dress code and paid holidays. Kimball Midwest is an equal opportunity employer that is committed to a program of recruitment of females, minority group members, individuals with disabilities, qualifying veterans and any other classification that is protected by federal, state, or local law. We Participate in E-Verify. Participamos en E-Verify.

Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace. With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including. • Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here) • Collabera listed in GS 100 - recognized for excellence and maturity • Collabera named among the Top 500 Diversity Owned Businesses • Collabera listed in GS 100 & ranked among top 10 service providers • Collabera was ranked: • 32 in the Top 100 Large Businesses in the U.S • 18 in Top 500 Diversity Owned Businesses in the U.S • 3 in the Top 100 Diversity Owned Businesses in New Jersey • 3 in the Top 100 Privately-held Businesses in New Jersey • 66th on FinTech 100 • 35th among top private companies in New Jersey *********************************************** Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description • Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining scope of impact • Recommend options to resolve issues • Find meaningful insights and communicate insights effectively • Design, implement and work audit processes • Develop reports and communicate research and findings • Manage multiple responsibilities and deadlines • Work independently with little supervision Experience • Experience developing SQL statements required • Experience with R or SAS required. • Experience with Oracle or Teradata database desired • Prior experience in a data analytics role strongly preferred • Knowledge of statistical methods required Education • BS in Statistics, Computer Science, or Applied Mathematics required with advanced degree preferred. Other relevant work experience may be substituted Qualifications • BS in Statistics, Computer Science, or Applied Mathematics required with advanced degree preferred. Other relevant work experience may be substituted Additional Information If you are interested please send me your resume at [email protected] or call me at ************

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.

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.

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. --

Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. The Data Scientist role at Bread Financial is responsible for generating data-driven insights to support enterprise data science needs within the organization. The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data science needs, as well as enhancing the team's industry competence through research in Artificial Intelligence (AI). Essential Job Functions Lead the design, build, deployment, and periodic maintenance of AI solutions. - (30%) Build strong relationships with internal business partners to drive the delivery of enterprise solutions. - (20%) Establishing and executing the framework for engaging enterprise partners to plan new AI solutions. - (15%) Assisting with documentation, compliance, model governance, and maintenance of AI solutions. - (15%) Research advanced modeling and AI techniques to improve predictive modeling and maintain business acumen in relevant industries. - (10%) Training and mentoring to junior Data Scientists. Lead projects as needed or required - (10%) Minimum Qualifications Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics 8+ years experience in building sophisticated models using machine learning, segmentation, time series, and other advanced analytics methodologies. Preferred Qualifications Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields Advanced machine learning modeling and/or technical expertise in developing market differentiation data science products. Experience in bank card/credit card business, consulting, retail, marketing, loyalty, and/or financial services. Skills Data Manipulation Machine Learning Python (Programming Language) R Statistics Statistical Analysis Statistics Time Series Analysis Cloud Environment Reports To: Senior Manager and above Direct Reports: 0 Work Environment Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if within 60 miles of a posted Bread Financial location. Travel Ability to travel up to 5% annually Physical and Mental Requirements To perform this job successfully, an individual must be able to perform each essential job function satisfactorily and meet the physical, mental and work environment requirements. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions, absent undue hardship. Communicate/Hearing Communicate/Talking Stationary Position/Seated Typing/Writing Focus and complete tasks in situations that have a speed or productivity metric Maintain focus in high pressure or fast-paced work environment #INDPROF Other Duties This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time. Salary Range (unless otherwise noted below): $120,500.00 - $218,300.00 Full Salary Range for position: California: $138,600.00 - $272,900.00Colorado: $120,500.00 - $229,200.00New York: $132,500.00 - $272,900.00Washington: $126,500.00 - $251,100.00Maryland: $126,500.00 - $240,200.00Washington DC: $138,600.00 - $251,100.00Illinois: $120,500.00 - $240,200.00New Jersey: $138,600.00 - $251,100.00 The actual base pay within this range may be dependent upon many factors, which may include, but are not limited to, work location, education, experience, and skills. Bread Financial offers medical, prescription drug, dental, vision, and other voluntary benefits (including basic and optional life insurance, supplemental medical plans, and short and long-term disability) to eligible associates (regular full-time associates scheduled to work 30 hours per week or more) and their spouses/domestic partners, and child(ren) under the age of 26. New associate elected coverage begins on date of hire (with the exception of disability coverage which has a 6-month waiting period). Six weeks of 100% paid parental leave for eligible parents is available after a 180-day waiting period. Hired associates can immediately enroll in Bread Financial's 401(k) plan. All associates receive 11 paid holidays. Associates have discretion in managing their time away from work through the Flexible Time Off (FTO) program and may need to notify and receive approval from their manager prior to taking the time off. Associates (except those located in Illinois) receive 80 hours of Paid Sick and Safe Time (“PSST”) upon hire and at the beginning of each subsequent calendar year. Illinois associates receive 40 hours of Illinois PSST upon hire and at the beginning of each subsequent calendar year and 40 hours of Illinois Paid Leave upon hire and at the beginning of each subsequent calendar year. Illinois Paid Leave must be used before associates in Illinois will be approved to take FTO. Hired associates will be able to elect the purchase company stock during offering periods in June and December. You will be eligible for an annual incentive bonus based on individual and company performance. Click here for more Benefits information. About Bread Financial At Bread Financial, you'll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We've been consistently recognized as a best place to work nationally and in many markets and we're proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled-both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression. Bread Financial (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers. To learn more about Bread Financial, our global associates and our sustainability commitments, visit breadfinancial.com or follow us on Instagram and LinkedIn. Bread Financial offers competitive pay, a comprehensive selection of benefit options including 401(k). The Company is an Equal Opportunity Employer. Any applicant offered employment will be required to establish that they are legally authorized to work in the United States for the Company. The Company participates in E-Verify. The Company will consider for employment all qualified applicants, including those with a criminal history, in a manner consistent with the requirements of all applicable federal, state, and local laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. Applicants with criminal histories are encouraged to apply. The Company complies with the Americans with Disabilities Act (ADA), as amended, and all applicable state/local laws. The Company will provide accommodations to applicants needing accommodations to complete the application process. Applicants with disabilities may contact the Company to request and arrange for accommodations. If you need assistance to accommodate a disability, you may request an accommodation at any time. Please contact the Recruiting Team at ************************. Job Family: Data and Analytics Job Type: Regular

Hybrid Work Model- Van Wert, OH, Dublin, OH We are a team of data scientists who are passionate and inquisitive problem-solvers. We work together to deliver innovative, best-in-class analytic solutions to our business partners. We prioritize Integrity, Relationships and Excellence in everything we do. Our employees have the opportunity to fully utilize their talents and areas of expertise while simultaneously expanding their technical and business skill set. We encourage each employee to bring their best self to work each day; we believe who you are is just as important as what you do! As a Data Scientist II, you will be squarely in the middle of honing your expertise and domain knowledge of insurance while bringing your best to deliver the data science practices among your peers. You will be carrying the torch to refine and hone-in our existing models and their revisions while at the same time pioneering your own greenfield projects to deliver new capabilities. You will also have the opportunity to influence the department's short- and long-term strategic goals. The Data Scientist II will be expected to use statistical techniques to solve real world problems and should be adept at interpreting and communicating key findings to employees within and external to the Data Science group. To summarize, you will be critical to strengthening our core product platforms, building new capabilities, and have Central's strong values and history at your back to provide the assurance to build products that are directly tied to our success! How You'll Make an Impact Mines and extracts data and applies statistics and algorithms necessary to derive insights for Central Insurance Supports the generation of an automated insights generation framework for Central Insurance's business partners to effectively interpret data Provides actionable insights through data science Conducts statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage Grows understanding beyond the fundamental knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects Serves as a junior member on automation and analytical projects, at times collaborating across various functions Works with more senior level scientists on the team to translate requirements into an analytical approach Contributes to, or builds the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelines Gathers and assimilates data according to the project plan; works with the team to discuss analysis and findings Under the tutelage of senior team members, develops final recommendations, ensuring solutions are actionable in the business What you will bring Bachelor's degree in Computer Science or related field and 1 years of related experience Or 3 years related experience Strong analytical and problem-solving skills Strong data visualization development experience Ability to set priorities and plans to meet business goals and objectives Ability to shift & balance strategic, high-level thinking with attention to detail Ability to lead, motivate & influence without having formal authority Ability to act as a thought leader with a focus on innovative & high-quality solutions Ability to work both independently and in a team environment with internal /external customers Ability to understand, design & implement end-to-end BI workflows Strong organizational, planning & problem-solving skills Ability to communicate with stakeholders and business partners Preferred Experience in performing predictive Experience in performing predictive analytics in a large-scale enterprise SQL experience in querying large datasets Programming experience (Python or R) Experience with visualization tools such as Power BI, Tableau, etc. Experience in a Data Science or Analytics role in Financial Services Exposure to version control, GIT Hub Exposure to Cloud computing, AWS, Azure, GCP, etc Work Authorization Central will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer It is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-Hybrid, #LI-AS1 Other details Job Family Data Science and PDDS

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

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 (***************************************************************************************************************************

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

Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace. With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including. • Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here) • Collabera listed in GS 100 - recognized for excellence and maturity • Collabera named among the Top 500 Diversity Owned Businesses • Collabera listed in GS 100 & ranked among top 10 service providers • Collabera was ranked: • 32 in the Top 100 Large Businesses in the U.S • 18 in Top 500 Diversity Owned Businesses in the U.S • 3 in the Top 100 Diversity Owned Businesses in New Jersey • 3 in the Top 100 Privately-held Businesses in New Jersey • 66th on FinTech 100 • 35th among top private companies in New Jersey *********************************************** Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description • Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining scope of impact • Recommend options to resolve issues • Find meaningful insights and communicate insights effectively • Design, implement and work audit processes • Develop reports and communicate research and findings • Manage multiple responsibilities and deadlines • Work independently with little supervision Experience • Experience developing SQL statements required • Experience with R or SAS required. • Experience with Oracle or Teradata database desired • Prior experience in a data analytics role strongly preferred • Knowledge of statistical methods required Education • BS in Statistics, Computer Science, or Applied Mathematics required with advanced degree preferred. Other relevant work experience may be substituted Qualifications • BS in Statistics, Computer Science, or Applied Mathematics required with advanced degree preferred. Other relevant work experience may be substituted Additional Information If you are interested please send me your resume at [email protected] or call me at ************

Battelle's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Defense business line, in our National Security business unit, is currently seeking persons with knowledge of physical/mathematical phenomena and 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. Successful applicants will have the opportunity to make this Nation and Battelle's clients safer and better prepared. Responsibilities * Serve as technical lead for a small team of data scientists in the execution of an annual quantitative risk assessment for CBRNE terrorism attacks against the U.S. using existing software models and architecture. * Determine improvements and maintenance activities to improve the efficiency of the existing risk execution system/software. * Maintain detailed internal-facing documentation on the execution process and high-level client-facing documentation for the risk analysis/results. * Present risk results and modeling/data updates on an annual basis to clients and other external stakeholders. * Monitor task completion and communicate progress to the client on weekly teleconferences. * Write annual reports of methods used and results obtained. Key Qualifications * Education reflecting on of the following: o Bachelor's with 5+ years of experience, Master's with 2+ years of experience, or Ph.D. in Physics, Mathematics, Engineering or other scientific field. * Strong understanding of higher-level mathematics (e.g., calculus, differential equations, linear algebra). * At least one year of experience with project management or task leadership with proven ability to meet project deadlines on schedule and within budget. * Excellent communication and presentation skills of scientific, technical data to non-technical and semi-technical audiences. * Ability to travel domestically up to 10%. * Must be a U.S. Citizen with the ability to obtain and maintain a Secret DoD clearance Preferred Qualifications * At least 3 years of experience in modeling & simulation, statistical analysis, quantitative risk assessment, data science, systems engineering or related field. * Knowledge of advanced statistics and/or probability. * Strong technical writing skills. * Experience with data visualization techniques. * 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. * A U.S. Citizen with the ability to obtain and maintain a Top Secret DoD clearance.

**_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 (***************************************************************************************************************************

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.

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