Data scientist jobs in Georgia

About the Job WE are seeking a skilled and motivated professional with 8 years of total IT experience, including 3 years in Master Data Management (MDM) and at least 2 year of hands-on experience with the Profisee platform. The ideal candidate will bring strong technical expertise, analytical thinking, and collaborative spirit to help drive data excellence across our organization. Your Role As a Master Data Management Specialist, you will: Design, implement, and maintain MDM solutions using the Profisee platform. Collaborate with business and technical teams to define and manage master data domains. Develop and optimize SQL queries and ETL processes for data integration and transformation. Monitor data quality and ensure compliance with governance standards. Support ongoing enhancements and troubleshoot issues related to MDM systems. Your Skills and Experience We're looking for someone with: Proven experience in Profisee MDM platform (minimum 2 year). Strong proficiency in SQL, data modeling, and ETL tools. Solid understanding of data integration and data governance principles. Experience with cloud platforms like Microsoft Azure (preferred). Familiarity with other MDM tools and technologies (a plus). Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace (**************************************************************************** UpdateUrns=urn%3Ali%3Aactivity%3A**********048001024) **Your role at Clorox:** As a Data Scientist in Marketing, you will have the opportunity to apply data science techniques across our portfolio of brands to develop novel tools and analyses that push the boundaries of marketing analytics within the company. You will support building data products and translating data into clear and compelling insights ensuring proper activation that leads to business impact. You'll work closely with other data scientists, engineers and business partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate is curious, collaborative, and passionate about data science and product analytics with business facing experience. **In this role, you will:** + Contribute to the development and deployment of end-to-end AI/ML/Gen AI models, focusing on marketing, measurement, and predictive analytics. + Explore, test and implement GenAI solutions (e.g., LLMs, embeddings, RAG pipelines) for use cases like personalized marketing, customer insights, or content generation. + Scope and define data science projects, set clear deliverables, and collaborate with stakeholders to develop and deploy impactful models. + Write clean, well-organized code in GitHub repositories, following version control and collaboration best practices for development with other members of the team + Collaborate closely with data engineers to ensure data quality, feature engineering, and the development of efficient data pipelines. + Act as a strategic partner to business stakeholders, helping them frame problems in a data-driven way and translating business goals into analytical solutions. + Lead discovery sessions with marketing, product, and leadership teams to understand pain points and identify opportunities where data science can create value. + Present analytical findings and model results through compelling storytelling, using visualizations and business context to drive alignment and decision-making. \#LI-Hybrid **What we look for:** + Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. CPG experience is preferred + 1+ years of relevant experience with a Master's degree, or 2-3+ years of experience with a Bachelor's degree. + Proven experience working with business stakeholders; business-facing or consulting experience is preferred. **Technical Skills** + **Programming** : Proficiency in Python and SQL. + **AI/ML Expertise** : + Experience developing and deploying machine learning and generative AI (e.g., LLMs, embeddings, RAG pipelines) models. + Skilled in predictive modeling, personalized marketing, or customer analytics use cases. + **Data Handling** : + Comfortable working with unstructured/messy data. + Skilled in data exploration, cleaning, and feature engineering. + **Tools & Technologies** : + Familiarity with GitHub and collaborative version control best practices. + Experience with cloud platforms such as Google Cloud (BigQuery, GCS) or Azure Synapse is a plus. + Knowledge of Docker and cloud-based deployment is an advantage. **Analytical & Strategic Skills** + Ability to translate business problems into data science solutions and scope data projects with measurable impact. + Comfortable leading discovery sessions and contributing strategically to cross-functional teams. + Skilled in data storytelling and communicating findings clearly through visualizations and business context. **Soft Skills** + Strong communication and collaboration skills; able to work with both technical and non-technical stakeholders. + Highly curious, self-motivated, and able to work independently. + Strong project management and time management capabilities. + Open to learning new tools and methods; adaptable to fast-changing environments. + Demonstrates business acumen, **Workplace type:** Hybrid role - 3 days in our of our offices in US **Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive.** Learn more (********************************************************************************************************* **.** **[U.S.]Additional Information:** At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $88,700 - $165,900 -Zone B: $81,300 - $152,100 -Zone C: $73,900 - $138,300 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes. **Who we are.** We champion people to be well and thrive every single day. We're proud to be in every corner of homes, schools, and offices-making daily life simpler and easier through our beloved brands. Working with us, you'll join a team of passionate problem solvers and relentless innovators fueled by curiosity, growth, and progress. We relish taking on new, interesting challenges that allow our people to collaborate and thrive at work. And most importantly, we care about each other as multifaceted, whole humans. Join us as we reimagine what's possible and work with purpose to make a difference in the world. **This is the place where doing the right thing matters.** Doing the right thing is the compass that guides every decision we make-and we're proud to be globally recognized and awarded for our continuous corporate responsibility efforts. Clorox is a signatory of the United Nations Global Compact and the Ellen MacArthur Foundation's New Plastics Economy Global Commitment. The Clorox Company and its Foundation prioritize giving back to the communities we call home and contribute millions annually in combined cash grants, product donations, and cause-marketing. For more information, visit TheCloroxCompany.com and follow us on social media at @CloroxCo. **Our commitment to diversity, inclusion, and equal employment opportunity.** We seek out and celebrate diverse backgrounds and experiences. We're always looking for fresh perspectives, a desire to bring your best, and a nonstop drive to keep growing and learning. Learn more about our Inclusion, Diversity, Equity, and Allyship (IDEA) journey here (*********************************************** . The Clorox Company and its subsidiaries are an EEO/AA/Minorities/Women/LGBT/Protected Veteran/Disabled employer. Learn more to Know Your Rights (*********************************************************************************************** . Clorox is committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans during the hiring and interview process. If you need assistance or accommodations due to a disability, please contact us at ***************** . Please note: this inbox is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions/application statuses. The Clorox Company and its subsidiaries are an EEO/AA/ Minorities/Women/LGBT/Protected Veteran/Disabled employer.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/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.

You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data Scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years - scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company's most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible - insurance, buy/sell, registration, loans, safety, repairs, parking, etc - a $2T market in the U.S. We started with insurance in 2019, and since then we've launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor's degree in a quantitatively or intellectually rigorous discipline * 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company's C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* The successful candidate's starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America's first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers - and we're just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that's disrupting a massive market.

ADP is hiring a Lead Data Scientist. In this position you will lead and collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools. The successful candidate effectively communicates the analytics approach (e.g., relevance, tradeoffs) and how it will meet and address objectives to business partners. This role advocates and educates on the value of data-driven decision making focusing on the “how and why” of solving problems. You will lead implementation of analytic approaches, integrating work into applications and tools with data scientists, data engineers, business leads, etc. You will be an active participant in the data science community, responsible for upholding community-wide norms and standards and supporting the development and continuous learning of data scientists. At ADP we are driven by your success. We engage your unique talents and perspectives. We welcome your ideas on how to do things differently and better. In your efforts to achieve, learn and grow, we support you all the way. If success motivates you, you belong at ADP. We strive for every interaction to be driven by our CORE values: Insightful Expertise, Integrity is Everything, Service Excellence, Inspiring Innovation, Each Person Counts, Results-Driven, & Social Responsibility. RESPONSIBILITIES: Consider implementation constraints, both business and technical, and defines approach across increasingly complex/large analytics use cases Autonomously define the master table for increasingly complex engagements with a good understanding of all trade-offs in model building Contribute to feature validation Independently deliver one or multiple workstreams over the full duration of a project Have an excellent understanding of leading-edge methodologies with emerging spikes in one or more methodologies (e.g., deep learning) or domains. Can apply these rigorously to a range of problems Guide junior colleagues in the application of analytics approaches Create series of outputs/plots that build upon each other to guide problem solving with business teams. Suggests outputs across all workstreams Write production code optimized for efficiency and memory Conduct code reviews with junior colleagues Lead overall model validation/QA approach across the engagement Excellent understanding of risks and how to mitigate Raise potential ethical issues related to analytics to leadership EXPERIENCE: Strong understanding of agile methodologies and experience as a Sr Data Scientist on a cross functional agile team preferred Proficiency applying data science techniques on large scale data sets. E.g., machine learning to solve clustering, classification, regression, anomaly detection problem statements; and optimization or simulation techniques to solve prescriptive problems Proven ability to derive new insights by merging and transforming internal and external data sets in business contexts Experience with supporting deployment, monitoring, maintenance, and enhancement of models preferred Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space QUALIFICATIONS REQUIRED: 4+ years of directly related experience in a data science environment. Bachelor's degree required, MS or PhD preferred in the field of data science, computer science, engineering, mathematics, statistics, or related fields Python or R required; SQL preferred

ADP is hiring a Lead Data Scientist. In this position you will lead and collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools. The successful candidate effectively communicates the analytics approach (e.g., relevance, tradeoffs) and how it will meet and address objectives to business partners. This role advocates and educates on the value of data-driven decision making focusing on the “how and why” of solving problems. You will lead implementation of analytic approaches, integrating work into applications and tools with data scientists, data engineers, business leads, etc. You will be an active participant in the data science community, responsible for upholding community-wide norms and standards and supporting the development and continuous learning of data scientists. At ADP we are driven by your success. We engage your unique talents and perspectives. We welcome your ideas on how to do things differently and better. In your efforts to achieve, learn and grow, we support you all the way. If success motivates you, you belong at ADP. We strive for every interaction to be driven by our CORE values: Insightful Expertise, Integrity is Everything, Service Excellence, Inspiring Innovation, Each Person Counts, Results-Driven, & Social Responsibility. RESPONSIBILITIES: Consider implementation constraints, both business and technical, and defines approach across increasingly complex/large analytics use cases Autonomously define the master table for increasingly complex engagements with a good understanding of all trade-offs in model building Contribute to feature validation Independently deliver one or multiple workstreams over the full duration of a project Have an excellent understanding of leading-edge methodologies with emerging spikes in one or more methodologies (e.g., deep learning) or domains. Can apply these rigorously to a range of problems Guide junior colleagues in the application of analytics approaches Create series of outputs/plots that build upon each other to guide problem solving with business teams. Suggests outputs across all workstreams Write production code optimized for efficiency and memory Conduct code reviews with junior colleagues Lead overall model validation/QA approach across the engagement Excellent understanding of risks and how to mitigate Raise potential ethical issues related to analytics to leadership EXPERIENCE: Strong understanding of agile methodologies and experience as a Sr Data Scientist on a cross functional agile team preferred Proficiency applying data science techniques on large scale data sets. E.g., machine learning to solve clustering, classification, regression, anomaly detection problem statements; and optimization or simulation techniques to solve prescriptive problems Proven ability to derive new insights by merging and transforming internal and external data sets in business contexts Experience with supporting deployment, monitoring, maintenance, and enhancement of models preferred Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space QUALIFICATIONS REQUIRED: 4+ years of directly related experience in a data science environment. Bachelor's degree required, MS or PhD preferred in the field of data science, computer science, engineering, mathematics, statistics, or related fields Python or R required; SQL preferred

Hertz Revenue Management is seeking a highly motivated, intellectually curious, and talented data scientist to join a team that is responsible for optimizing Hertz's revenue offers. The data scientist will collaborate on designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz. The role partners across Revenue Management, Pricing, Sales and Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype products, and deliver end-to-end solutions The salary range for this position is expected to be between $90k-100k. **What You'll Do:** + Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or optimization modeling + Enhance existing analytical tools and develop new solutions/tools based on large data sets + Own and deliver end-to-end solutions, including coordination with stakeholders and IT, implementation, and support + Promote the long-term customer vision that supports Hertz's business strategy as the marketplace evolves, and new products are introduced + Actively develop close relationships and coordinate with commercial business units, Operations Research, Finance, IT and senior management to ensure timely execution of Hertz Revenue Management sponsored projects + Maintain a pulse on industry efforts, disruptive technologies, and champion solutions to further Hertz's position as industry leader + Balance multiple priorities in a fast-paced environment + Understand the interrelationships between Fleet, Pricing, and Revenue Management, and the combined impact on the Hertz Customer experience **What We're Looking For:** + Master's degree (or current enrollment) in operations research, statistics, computer science, or a related quantitative field required. + Highly proficient communication skills and ability to actively advocate for Hertz Revenue Management solutions across the enterprise + Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, etc.) + Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.) + Experience with big data: processing, filtering, and presenting large quantities of data + Ability to understand and work with large, unstructured data sets + Proven success in solving complex quantitative problems + Must be able to work well with diverse groups in a time-sensitive team environment with minimal supervision, be results oriented and able to meet or exceed deadlines with attention to detail and follow through + Demonstrated ability to handle multiple projects through to solution delivery + Consistently prioritizes safety and security of self, others, and personal data. + Embraces diverse people, thinking, and styles. **Preferred Qualifications:** + 2+ years of graduate coursework of Ph.D. in operations research, statistics, computer science, or related science field. + Experience with time series forecasting, reinforcement learning, machine learning, or optimization. + 2+ years of industry experience in data science or operations research. + Knowledge of revenue management theory or travel industry systems/data **What You'll Get:** + 40% off any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching. + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Charter Global is a global Information Technology and Solutions provider with more than 19 years of proven track record in gaining customer confidence. We support our customer needs in Asia-Pacific, Europe and the Americas (North and Latin). Our customers are in a variety of vertical industries: Energy, Finance, Healthcare, Government, Retail, Fulfillment Logistics, Manufacturing and Telecom. Charter Global has honed the processes, methodologies, tools and functions to deliver software services via a Global Delivery Model which blends in local and remote resources to get the job done - consistently Here is the Job details: Title: Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Job Description: · Oversees and performs end-top-end data based research. Design data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, leveraging knowledge and a broad understanding of E2E business processes and requirements. · Defines the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership (segments of the project/engagement). This includes:- Analyzing the data and identifying data sources- Determining appropriate types of data analytics to be performed- Selecting and applying data analysis techniques to ensure that recommendations and predictions provide an adequate level of confidence based on defined coverage criteria- Designing repeatable, verifiable and traceable analytical models · Identifies and analyses new data analytic directions and their potential business impact to determine the proper prioritization of data analytics activities based on business needs and analytics ROI. · Identifies data sources, oversees the data collection process and designs the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality. · Constructs data models (algorithms and formulas) for required business needs and predictions. · Works closely with content experts and managers to pinpoint queries, map data, and validate results. Maintains and enhances the professional and business relationship with internal stakeholders. · Facilitates presentations on how to use the data. Offers practical solutions to be used by the end decision makers. · Presents results, including the preparation of patents and white papers and facilitating presentations during conferences. · Effectively participates in and/or leads formal and informal reviews with stakeholders, applying knowledge and experience and providing insights from a professional perspective. · Prepares results in such a way they will be convenient for use. Provides professional support for team members and keeps them informed of assignments/ project status. Provides for training and support for other team members. · Explores and examines data from multiple sources. The Data Scientist sifts through all incoming data with the goal of discovering previously hidden insights, which, in turn, can provide a competitive advantage or address a pressing business problem. A Data Scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, and then recommends ways to apply the data. · Participates in technical designs of the wrapped product, which will run the model. Ensures that the model is properly used, that data inputs are supplied correctly and in a timely manner. Verifies that the correct data population is being processed. Ensures that that the output of the model is used correctly and that business objectives are being targeted. · Participates in the development stages of the wrapped product, including design, development, QA, implementation and production. This is particularly critical when the Development and Implementation teams find it difficult to understand and evaluate the model's objectives and benefits) Critical Experiences : · Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred · 5 or more years of relevant quantitative and qualitative research and analytics experience · Solid knowledge of statistical techniques · The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets · Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modeling (like SAS or R) · Experience using machine learning algorithms · High proficiency in the use of statistical packages · Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms · Strong communication and interpersonal skills · Knowledge of telecommunications and of the subject area being investigated - advantage. Additional Information Technical Expertise

THE FIRM As a leading international law firm, we are dedicated to excellence through impactful communication, collaboration, and community involvement. Our company culture has earned us one of the "100 Best Companies to Work For" for 26 consecutive years. This honor, along with many others, highlights our commitment to innovation and professional development. At Alston & Bird LLP, our foundation is made of trust, reliability, and compassion. JOB DESCRIPTION We are in search of visionary Data Scientist to join our Practice Innovation team-a group dedicated to transforming how legal services are delivered through cutting-edge technology. In this role, you'll lead the charge in deploying enterprise AI platforms like Microsoft Copilot Studio and Azure OpenAI, helping to craft smarter, data-driven legal strategies. If you're passionate about legal tech, fluent in data science, and excited by the possibilities of AI, we'd love to meet you. ESSENTIAL DUTIES Design, develop, and maintain predictive models to support administrative and legal departments. Configure and deploy AI solutions using Copilot Studio, Azure OpenAI, and other Microsoft 365 AI tools to enhance legal workflows. Collaborate with attorneys, innovation leads, and IT to identify opportunities for automation and data-driven decision-making. Build and maintain dashboards and analytics tools for internal stakeholders (e.g., attorney development, DEI, legal operations). Evaluate third-party legal tech tools and assist in integration with firm systems. Support AI governance, including ethical use, data privacy, and compliance with firm policies. SKILLS NEEDED TO BE SUCCESSFUL Knowledge of legal data types (e.g., timekeeping, matter metadata, court filings). Understanding of AI governance, model evaluation, and responsible AI practices. Strong communication skills and ability to translate technical concepts for non-technical stakeholders. Preferred: experience working in or with law firms or legal departments. EDUCATION AND EXPERIENCE Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field preferred. 1-3+ years of experience in a data science or machine learning role, preferably in a professional services or legal environment. Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau). Experience with Copilot Studio, Azure OpenAI, or similar enterprise AI platforms. Familiarity with natural language processing (NLP), large language models (LLMs), and prompt engineering. EQUAL OPPORTUNITY EMPLOYER Alston & Bird LLP is an Equal Opportunity Employer does not discriminate on the bases of any status protected under federal, state, or local law. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to our recruiting, hiring, and promoting practices. The statements contained in this position description are not necessarily all-inclusive, additional duties and responsibilities may be assigned, and requirements may vary from time to time. Professional business references and a background screening will be required for all final applicants selected for a position. If you need assistance or an accommodation due to a disability you may contact *************************. Alston & Bird is not currently accepting resumes from agencies for this position. If you are a recruiter, search firm, or employment agency, you will not be compensated in any way for your referral of a candidate even if Alston & Bird hires the candidate.

About Oversight Oversight is the world's leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world's most innovative companies and government agencies to digitally transform their spend audit and financial control processes. Oversight's AI-powered platform works across our customers' financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More. Position Overview: Job Purpose Oversight Systems is a leading provider of cloud-based artificial intelligence solutions automating and analyzing financial payment transactions to identify fraud, non-compliant purchases, and wasteful spending. Oversight analyzes over $2 trillion in expenditures annually at Fortune 5000 companies and government agencies worldwide. We are looking for an enthusiastic and talented Senior Data Scientist to join our team. You will collaborate with a strong team of data scientists, product managers, and developers on designing and building AI solutions to expand our analytic platform and spend risk products. Responsibilities Lead development projects, engaging with the project stakeholders, collecting high level requirements, testing different machine learning models and designing and delivering systems with machine learning at their cores Design and maintain a Machine Learning pipelines - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying, and diagnosing over fitting Research and develop analysis, and optimization methods to improve the quality of Oversight's user facing analytics Identify and present opportunities to leverage advanced analytical methods to solve difficult non-routine business problems Provide technical direction, mentoring, training, and guidance to team members Skills Applied experience with machine learning on large datasets Strong SQL experience in processing and analyzing data Strong quantitative analytical experience, including hands-on use of statistics, regression modeling, decision trees, random forest, support vector machine, kernel-based methods, clustering, and similar methods Ability to analyze a wide variety of data: structured and unstructured, observational, and experimental, to drive system designs and product implementations Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference Understanding of the different machine learning approaches and techniques and able to research and test new ones Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data Demonstrated leadership and self-direction Hands-on experience with Linux distributions Strong communication skills, data presentation skills, and ability to collaborate with other teams Experience in both R&D environment and software product development is a plus Experience Must possess a minimum of 3 years work experience using Python Education Bachelor's degree in Computer Science with Data Science Emphasis and 5 years of Data Science experience (emphasis in Machine Learning)

As a Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. **** **Roles and Responsibilities** : + Design, develop, and deploy machine learning models and algorithms under guidance from senior team members + Develop, verify, and validate analytics to address customer needs and opportunities. + Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. + Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). + Ensure efficient data retrieval and augmentation processes to support LLM training and inference. + Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. + Perform exploratory and targeted data analyses using descriptive statistics and other methods. + Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization + Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. + Communicate methods, findings, and hypotheses with stakeholders. **Minimum Qualifications:** + Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with a minimum of 2+ years of experience + 2 years of proficiency in Python. + Familiarity with statistical machine learning techniques as applied to business problems + Strong analytical and problem-solving skills. + Strong communication and collaboration skills. + **Note:** Military experience is equivalent to professional experience Eligibility Requirement: + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. **Desired Characteristics:** + Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. + Experience with handling unstructured data, including images, videos, and text + Ability to work in a fast-paced, dynamic environment. + Experience with data preprocessing and augmentation tools. + Demonstrated experience applying critical thinking and problem-solving + Demonstrated experience working in team settings in various roles + Strong presentation and communications skills **Note:** To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. _This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3))._ **Additional Information** GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (****************************************************************************************** . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). **Relocation Assistance Provided:** No GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit and Cash Balance plans. Section 2: Job Functions, Essential Duties and Responsibilities * Review, prepare and/or certify client projects and ensure accurate client deliverables including: * Actuarial valuations and reports * Benefit statements * Plan documents, amendments, employee communications (SPDs, etc.) * Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) * IRS determination filings and PBGC (Form 500 series) termination submissions * ASC 715/960 * Perform and review combined plan non-discrimination testing * Answer technical questions posed by staff * Research the Internal Revenue Code and other technical resources to resolve client issues * Provide technical training for staff * Provide back up to other teams as necessary * Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. * Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. * Assist with other tasks and projects as assigned Supervision * N/A Section 3: Experience, Skills, Knowledge Requirements * Bachelor's degree in actuarial science, math or math related field * Enrolled Actuary designation with 5 years industry experience * Advanced understanding of: * Pension law * Plan documents and IRS favorable determination letters * Actuarial valuations and software systems * Excellent technical/analytical skills * Ability to research technical issues * Ability to explain technical issues to all levels of associates * Good verbal and written communication skills * Demonstrated expertise with Microsoft Office, particularly Excel applications * Demonstrated expertise with industry recognized pension valuation software * Detail and accuracy oriented * Good time management skills * Team Player We are proud to be an Equal Opportunity Employer Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: As a Data Scientist in Marketing, you will have the opportunity to apply data science techniques across our portfolio of brands to develop novel tools and analyses that push the boundaries of marketing analytics within the company. You will support building data products and translating data into clear and compelling insights ensuring proper activation that leads to business impact. You'll work closely with other data scientists, engineers and business partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate is curious, collaborative, and passionate about data science and product analytics with business facing experience. In this role, you will: * Contribute to the development and deployment of end-to-end AI/ML/Gen AI models, focusing on marketing, measurement, and predictive analytics. * Explore, test and implement GenAI solutions (e.g., LLMs, embeddings, RAG pipelines) for use cases like personalized marketing, customer insights, or content generation. * Scope and define data science projects, set clear deliverables, and collaborate with stakeholders to develop and deploy impactful models. * Write clean, well-organized code in GitHub repositories, following version control and collaboration best practices for development with other members of the team * Collaborate closely with data engineers to ensure data quality, feature engineering, and the development of efficient data pipelines. * Act as a strategic partner to business stakeholders, helping them frame problems in a data-driven way and translating business goals into analytical solutions. * Lead discovery sessions with marketing, product, and leadership teams to understand pain points and identify opportunities where data science can create value. * Present analytical findings and model results through compelling storytelling, using visualizations and business context to drive alignment and decision-making. #LI-Hybrid What we look for: * Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. CPG experience is preferred * 1+ years of relevant experience with a Master's degree, or 2-3+ years of experience with a Bachelor's degree. * Proven experience working with business stakeholders; business-facing or consulting experience is preferred. Technical Skills * Programming: Proficiency in Python and SQL. * AI/ML Expertise: * Experience developing and deploying machine learning and generative AI (e.g., LLMs, embeddings, RAG pipelines) models. * Skilled in predictive modeling, personalized marketing, or customer analytics use cases. * Data Handling: * Comfortable working with unstructured/messy data. * Skilled in data exploration, cleaning, and feature engineering. * Tools & Technologies: * Familiarity with GitHub and collaborative version control best practices. * Experience with cloud platforms such as Google Cloud (BigQuery, GCS) or Azure Synapse is a plus. * Knowledge of Docker and cloud-based deployment is an advantage. Analytical & Strategic Skills * Ability to translate business problems into data science solutions and scope data projects with measurable impact. * Comfortable leading discovery sessions and contributing strategically to cross-functional teams. * Skilled in data storytelling and communicating findings clearly through visualizations and business context. Soft Skills * Strong communication and collaboration skills; able to work with both technical and non-technical stakeholders. * Highly curious, self-motivated, and able to work independently. * Strong project management and time management capabilities. * Open to learning new tools and methods; adaptable to fast-changing environments. * Demonstrates business acumen, Workplace type: Hybrid role - 3 days in our of our offices in US Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. Learn more. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $88,700 - $165,900 -Zone B: $81,300 - $152,100 -Zone C: $73,900 - $138,300 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Why Jerry.ai * Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain * Disrupt a massive market and take us to a $10B business in the next few years * Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article * Be immersed in a talent-dense environment and greatly accelerate your career growth * Impact millions of users experience with car maintenance and auto insurance About the opportunity We are looking for a detail-obsessed Applied Data Scientist to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions. This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis. How you will make an impact * Model Ownership: Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges * Data Quality: Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies * Problem Investigation: Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy * Cross-Functional Collaboration: Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy and definition of our centralized feature store, ensuring it becomes the 'single source of truth' for all ML models * Documentation: Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions Who You Are * Obsessed with Details: You have an exceptional eye for detail and a low tolerance for errors. You believe that accuracy and precision are non-negotiable * A Strategic Thinker: You can see the bigger picture and are passionate about building robust systems and processes that will stand the test of time * Proactive & Persistent: You don't wait for problems to find you. You actively seek out data quality issues and are persistent in seeing an investigation through to its resolution. * Curious & Adaptive: You are inherently curious and possess a strong desire to understand how things work. You're comfortable with ambiguity and skilled at breaking down complex problems Requirements * Education: Bachelor's degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.) * Programming: Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation * Data Quality: Hands-on experience with data cleaning techniques and data validation frameworks * Tooling: Familiarity with data visualization tools to help identify and communicate data issues While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* The successful candidate's starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America's first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers - and we're just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that's disrupting a massive market.

Charter Global is a global Information Technology and Solutions provider with more than 19 years of proven track record in gaining customer confidence. We support our customer needs in Asia-Pacific, Europe and the Americas (North and Latin). Our customers are in a variety of vertical industries: Energy, Finance, Healthcare, Government, Retail, Fulfillment Logistics, Manufacturing and Telecom. Charter Global has honed the processes, methodologies, tools and functions to deliver software services via a Global Delivery Model which blends in local and remote resources to get the job done - consistently Here is the Job details: Title: Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Job Description: · Oversees and performs end-top-end data based research. Design data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, leveraging knowledge and a broad understanding of E2E business processes and requirements. · Defines the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership (segments of the project/engagement). This includes:- Analyzing the data and identifying data sources- Determining appropriate types of data analytics to be performed- Selecting and applying data analysis techniques to ensure that recommendations and predictions provide an adequate level of confidence based on defined coverage criteria- Designing repeatable, verifiable and traceable analytical models · Identifies and analyses new data analytic directions and their potential business impact to determine the proper prioritization of data analytics activities based on business needs and analytics ROI. · Identifies data sources, oversees the data collection process and designs the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality. · Constructs data models (algorithms and formulas) for required business needs and predictions. · Works closely with content experts and managers to pinpoint queries, map data, and validate results. Maintains and enhances the professional and business relationship with internal stakeholders. · Facilitates presentations on how to use the data. Offers practical solutions to be used by the end decision makers. · Presents results, including the preparation of patents and white papers and facilitating presentations during conferences. · Effectively participates in and/or leads formal and informal reviews with stakeholders, applying knowledge and experience and providing insights from a professional perspective. · Prepares results in such a way they will be convenient for use. Provides professional support for team members and keeps them informed of assignments/ project status. Provides for training and support for other team members. · Explores and examines data from multiple sources. The Data Scientist sifts through all incoming data with the goal of discovering previously hidden insights, which, in turn, can provide a competitive advantage or address a pressing business problem. A Data Scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, and then recommends ways to apply the data. · Participates in technical designs of the wrapped product, which will run the model. Ensures that the model is properly used, that data inputs are supplied correctly and in a timely manner. Verifies that the correct data population is being processed. Ensures that that the output of the model is used correctly and that business objectives are being targeted. · Participates in the development stages of the wrapped product, including design, development, QA, implementation and production. This is particularly critical when the Development and Implementation teams find it difficult to understand and evaluate the model's objectives and benefits) Critical Experiences: · Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred · 5 or more years of relevant quantitative and qualitative research and analytics experience · Solid knowledge of statistical techniques · The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets · Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modeling (like SAS or R) · Experience using machine learning algorithms · High proficiency in the use of statistical packages · Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms · Strong communication and interpersonal skills · Knowledge of telecommunications and of the subject area being investigated - advantage. Additional Information Technical Expertise

Job Description About Oversight Oversight is the world's leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world's most innovative companies and government agencies to digitally transform their spend audit and financial control processes. Oversight's AI-powered platform works across our customers' financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More. Position Overview: Job Purpose Oversight Systems is a leading provider of cloud-based artificial intelligence solutions automating and analyzing financial payment transactions to identify fraud, non-compliant purchases, and wasteful spending. Oversight analyzes over $2 trillion in expenditures annually at Fortune 5000 companies and government agencies worldwide. We are looking for an enthusiastic and talented Senior Data Scientist to join our team. You will collaborate with a strong team of data scientists, product managers, and developers on designing and building AI solutions to expand our analytic platform and spend risk products. Responsibilities Lead development projects, engaging with the project stakeholders, collecting high level requirements, testing different machine learning models and designing and delivering systems with machine learning at their cores Design and maintain a Machine Learning pipelines - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying, and diagnosing over fitting Research and develop analysis, and optimization methods to improve the quality of Oversight's user facing analytics Identify and present opportunities to leverage advanced analytical methods to solve difficult non-routine business problems Provide technical direction, mentoring, training, and guidance to team members Skills Applied experience with machine learning on large datasets Strong SQL experience in processing and analyzing data Strong quantitative analytical experience, including hands-on use of statistics, regression modeling, decision trees, random forest, support vector machine, kernel-based methods, clustering, and similar methods Ability to analyze a wide variety of data: structured and unstructured, observational, and experimental, to drive system designs and product implementations Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference Understanding of the different machine learning approaches and techniques and able to research and test new ones Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data Demonstrated leadership and self-direction Hands-on experience with Linux distributions Strong communication skills, data presentation skills, and ability to collaborate with other teams Experience in both R&D environment and software product development is a plus Experience Must possess a minimum of 3 years work experience using Python Education Bachelor's degree in Computer Science with Data Science Emphasis and 5 years of Data Science experience (emphasis in Machine Learning)

As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. **** **Roles and Responsibilities** : + Design, develop, and deploy machine learning models and algorithms + Understand business problems and identify opportunities to implement data science solutions. + Develop, verify, and validate analytics to address customer needs and opportunities. + Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. + Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). + Ensure efficient data retrieval and augmentation processes to support LLM training and inference. + Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models. + Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. + Perform exploratory and targeted data analyses using descriptive statistics and other methods. + Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization + Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. + Communicate methods, findings, and hypotheses with stakeholders. **Minimum Qualifications:** + Bachelor's degree from accredited university or college with minimum of **3** years of professional experience OR an associate's degree with minimum of **5** years of professional experience + 3 years of proficiency in Python (mandatory). + 2 years' experience with machine learning frameworks and deploying models into production environments + **Note:** Military experience is equivalent to professional experience Eligibility Requirement: + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. **Desired Characteristics:** + Strong analytical and problem-solving skills. + Excellent communication and collaboration abilities. + Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. + Experience with handling unstructured data, including images, videos, and text. + Understanding of computer vision techniques and tools + Ability to work in a fast-paced, dynamic environment. + Experience with data preprocessing and augmentation tools. + Demonstrated expertise in critical thinking and problem-solving methods + Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services + Demonstrated skill in defining and delivering customer value. + Demonstrated expertise working in team settings in various roles + Demonstrated expertise in presentation and communications skills. + Experience with deep learning and neural networks. + Knowledge of data governance and compliance standards. **Note:** To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. _This role requires access to U.S. export-controlled information. Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government._ **Additional Information** GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (****************************************************************************************** . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). **Relocation Assistance Provided:** Yes GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.