Senior Data Scientist Jobs in North Little Rock, AR

**Specialty/Competency:** IFS - Clients & Markets **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 20% A career in National Special Functions, within Business Services, will provide you with the opportunity to support service, sector, and market leaders to deliver the unique PwC client experience to our clients. You'll play an important part in continuously innovating and improving Firm operations so that we can continue to provide the highest quality of services to our current and prospective clients. Our PwC Intelligence team is responsible for serving as a strategic business partner for an assigned customer to identify and pursue new opportunities, conduct market analysis, and prepare revenue projections. You'll also develop new service offerings and solutions, enhance existing delivery capabilities, and support the delivery of solutions on engagements. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: + Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. + Deal effectively with ambiguous and unstructured problems and situations. + Initiate open and candid coaching conversations at all levels. + Move easily between big picture thinking and managing relevant detail. + Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. + Contribute technical knowledge in area of specialism. + Contribute to an environment where people and technology thrive together to accomplish more than they could apart. + Navigate the complexities of cross-border and/or diverse teams and engagements. + Initiate and lead open conversations with teams, clients and stakeholders to build trust. + Uphold the firm's code of ethics and business conduct. **Job Requirements and Preferences:** **Basic Qualifications:** **Minimum Degree Required:** Bachelor's Degree **Minimum Year(s) of Experience:** 6 year(s) **Preferred Qualifications:** **Degree Preferred:** Master's Degree **Preferred Fields of Study:** Computer and Information Science,Mathematics,Engineering,Economics,Statistics **Preferred Knowledge/Skills:** Demonstrates intimate abilities and/or a proven record of success as a team leader: - Owning thorough statistical knowledge with preference given to experience with time-series forecasting and machine learning; - Having a thorough knowledge of software engineering industry-leading practices, including version control, Github, testing, and validation; - Performing complex data analysis using tools such as Python (pandas, Anaconda python distribution); - Demonstrating experience with API or rest service integrations, advanced SQL (common table expressions, use of temp tables, indexing), and other technical methods to extract and combine data from various sources; - Displaying experience with SQL Server, as well as data transformation tools such as SSIS, Informatica, and DBT; - Exhibiting experience working with financial data providers such as S&P Global, Refinitiv, Dealogic, or Audit Analytics; - Being responsible for the creation and maintenance of data science pipelines with a focus on time series forecasting and model evaluation; - Conducting quantitative and qualitative analyses of large and complex datasets; - Building and managing ETL processes to transform data and schedule jobs; - Working on multiple projects simultaneously; - Revealing a conviction to high standards for data quality with a client-service focus; - Taking ownership of developing relationships across the organization and serving as a data subject matter specialist (SMS); - Laboring independently and with a team and able to efficiently communicate in written and verbal formats to both technical and non-technical audiences; - Establishing relationships and work well across functions; - Building, maintaining, and troubleshooting development and production environments; - Cooperating with other areas of the firm to source data as needed; - Possessing facilitation skills and the ability to coach/teach others; - Demonstrating written and verbal communication skills, including problem/conflict resolution skills; and, - Having direct engagement with functional leaders/staff and LOS leaders/staff. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $89,000 - $315,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: *********************************** \#LI-Remote

Oracle Financial Services Software (OFSS) Consulting, US is responsible for the implementation and support of Oracle's Financial Services Analytical Applications. Our business is growing at an all-time pace in the risk management, anti-money laundering, fraud, and regulatory compliance analytics applications. Oracle software is used by 70% of Global Systemically Important Financial Institutions (GSIFS). Our market-leading financial crime and compliance software suite is used by over one hundred leading financial institutions globally and underpins Anti-Money Laundering, Operational Risk, and Enterprise Fraud systems at some of the largest financial institutions in the world. As a recognized authority and leading contributor within the Consulting practice, this senior-level position provides consistent high quality and innovative solution leadership to a project team. With focus on Financial Crimes, data science, data modelling and next generation technologies, you will exercise judgment and business acumen in selecting methods and techniques to deliver functional and technical solutions on non-routine and very complex aspects of applications and technology installations. Provide direction and mentoring to project teams, leads technical team, and effectively influences customer leadership on key decisions. Assign tasks, mentors team, tracks deliverables, and oversees activities of the team. Coordinate technical interviews. Provide performance feedback to management for team. Interact with sales and product management to recommend future product enhancements. Support business development efforts by pursuing new opportunities and extensions. Collaborate with consulting sales team by providing domain expertise. Resolves complex customer issues by recommending and implementing solutions. Demonstrates expertise in multiple business processes across two or more product families or ability to architect and design technology solutions encompassing multiple products and make decisions based on impact across the stack. May be assigned to various, unanticipated sites throughout U.S. May telecommute. (6181.1181) Job Requirements + Comprehends and stays abreast of the ever-changing US bank Compliance laws and regulations. + Possess the ability to translate US bank compliance laws and regulations into actionable outcomes for our clients. + Ability to effectively communicate, both written and verbal, with Financial Institution and Insurance level business heads like the Bank Secrecy Act Officer (BSAO), Chief Compliance Officer (CCO), Chief Risk Officer (CRO). + Positioning Oracle Financials Crimes and Compliance Management (FCCM) solutions to meet our clients business needs. + Provide Compliance law and regulation information to other Consultants. + Collaborate and exchange Compliance law and regulation knowledge with Product Development teams to improve and advance our solution set capabilities on behalf of our clients. + Provide comprehensive business requirements and transform them to technical specifications and/or Cloud Service Solution set process maps. + Assist Product Development in the design of rules and algorithms to identify fraudulent activity such as real-time transaction fraud and Identity Fraud and Cybercrime. Qualifications + Familiarity of Oracle Financial Crime and Compliance Management solutions for financial sectors. + Strong functional domain expertise in Financial Crime and Compliance Management (FCCM), Regulatory Reporting, Anti-Money Laundering, Compliance Studio. + Data modeling, AI and next generation technologies. + Python, R, and other advanced technology languages. + Oracle Database SQL & PL/SQL. + PL/SQL Developer, SQL Developer. + 10+ years of experience in building machine models in R, Python or SAS and/or hands-on knowledge of graph analytics. + Hands-on expertise with SQL databases such as Oracle. + ACAMS certification preferred. Responsibilities displayed in the job posting Qualifications displayed in the job posting Career Level - IC4 **Responsibilities** Analyzes business needs to help ensure Oracle solution meets the customer's objectives by combining industry best practices, product knowledge, and business acumen. Exercises judgment and business acumen in selecting methods and techniques to deliver functional and technical solutions on non-routine and very complex aspects of applications and technology installations. Provides direction and mentoring to project teams, and effectively influences customer leadership on key decisions. Supports the business development efforts by pursuing new opportunities and extensions. Collaborates with the consulting sales team by providing domain expertise. Resolves complex customer issues by recommending and implementing solutions. Demonstrates expertise in multiple business processes across two or more product families or ability to architect and design technology solutions encompassing multiple products and make decisions based on impact across the stack. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $88,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one. **Disclaimer:** Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. *** Which includes being a United States Affirmative Action Employer**

**Our Company** At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers' customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. **What You'll Do** Our team is a blend of data science and analytical engineering, and in this role, you'll collaborate closely with the analytics engineer. As a data scientist, you will work on in-database analytics functions, ensuring high accuracy, efficient workload management, and supporting proof-of-concept (POC) use cases. Meanwhile, you will leverage cutting-edge AI technologies to create solutions and develop scalable models that integrate into Teradata's analytics platform. This position will play a key role in shaping the future of AI-driven applications, such as retrieval-augmented generation (RAG), recommendation systems, and multimodal solutions across diverse enterprise use cases. **Who You'll Work With** We are a market leader and innovator in cloud analytics and data platforms for AI, specializing in the management of structured, unstructured, and semi-structured data. Our team delivers analytic insights to enterprises through powerful products such as the massively parallel, linearly scalable Teradata Database and best-in-class, high-performance in-database analytics. Our Gen AI product, Vector Store, serves as the backbone for applications like RAG and recommendation systems. This role reports directly to the manager of the ClearScape Analytics team, the core AI product group. **What Makes You a Qualified Candidate** + Master's degree in Statistics, Data Science, Computer Science, a related field, or equivalent practical experience. + Experience programming in Python, SQL, or related languages. + 2 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). **What You'll Bring** + PhD or Master's in Computer Science, Data Science, Machine Learning, or a related field, with focus on GenAI, RAG, vector database, and AI Agents. + Experience in information retrieval or Text summarization, Experience in NLP (Natural Language Processing), RAG and Large Language Model (LLM) + Experience with training, evaluating, or interpreting large language models or multimodal models. Pay Rate: $108,600.00 - $135,700.00 - $163,000.00 Annually **Why we think you will love Teradata** We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Pay Rate: 108600.0000 - 135700.0000 - 163,000.00 Annually Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Learn more about Teradata's competitive Total Rewards package at **************************************************

With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. **About the Role:** The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a high-growth company. As a Product Data Scientist at Confluent, you will be a key player in helping define the experiences and driving product strategy at Confluent. You will collaborate with our Product leadership team and cross-functional partners across the Data organization. You will use data and analysis to identify and solve product development's challenges, unlocking growth of our product adoption funnel. This role requires a strong blend of technical skills, strategic thinking and communication skills to influence product strategy and investment decisions. **What You Will Do:** + Collaborate with product managers, product engineers, and other stakeholders to define and measure success metrics for product features and initiatives. + Develop and maintain dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders. + Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps. + Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization. + 3+ years of experience in Product Data Science/Analytics + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Exceptional problem solving skills and analytical skills + Strong proficiency in data manipulation with data querying languages (e.g. SQL). Proficiency in scripting languages (e.g. Python) preferred. + Proficiency in data visualization and building dashboards with tools such as Tableau + Experience and familiarity with A/B testing and experiment best practices + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Experience and knowledge of causal inference, machine learning and other advanced analytical methods + Experience in SaaS/Product-led Growth companies **Come As You Are** At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $139,230 - $163,620, an annual bonus, and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (******************************* . Click HERE (******************************************************************* to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees. \#LI-Remote

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. **Position Summary** Responsible for security strategies utilizing industry security standards, normative comparisons with industry peers, best practice research and Aetna specific business and technology requirements. Helping define, drive and deliver all aspects of the data science product lifecycle, from requirements gathering, education, and strategy, to study design, solution architecting, programming, testing, implementation, delivery, and iteration of data science analytics products. **Required Qualifications** + 10+ years of expertise in machine learning, statistical analysis, security, and network data to model risk-driven models of workforce behavior and provide context to security analysts to drive business decisions. + 8+ years of experience in tensorflow or pytorch and knowledge of Gen AI/LLM/NLP/MLOps or similar methodologies. + 8+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical clients in written and verbal form, and reliable executive presence. + Capability to provide strategic leadership by proactively recommending innovative research techniques and customer engagement opportunities. + Master's Degree in Data Science, Mathematics, Statics. PhD is ideal. . **Preferred Qualifications** + Extensive experience developing computational methods and algorithms as demonstrated by publications, Python etc. + Extensive experience in software development + Experience developing and applying data science methods to anomaly detection and/or times series problems. + Extensive experience in software development + Experience in Cloud computing environment. **Education** Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience) **BUSINESS OVERVIEW** Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities **Pay Range** The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit Benefits | CVS Health (****************************************** We anticipate the application window for this opening will close on: 12/31/2024 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

*****CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***** This job builds new analytical solutions which inform business processes and operations at the heart of our advanced analytics capability. The incumbent designs, executes and synthesizes point analytics to support specific business questions, programs or initiatives predominantly related to unstructured medical documents. The incumbent is a data-driven problem solver who understands and utilizes the Organization's business partner's strategies, goals and processes to answer critical business questions by leveraging and synthesizing the large volume and variety of data available to them. Draws on tools and methods from statistics and machine learning to perform analysis, create predictive models, visualize data, and drive projects through to delivery of the intended outcome. Continuously scans and tests new data sources, tools, and analytical techniques and partners with leading institutions and experts to contribute to our portfolio of next-generation analytic projects. **ESSENTIAL RESPONSIBILITIES** + Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for: + Outlining complex new use cases + creating high level impact estimates. + Identifying data elements needed and where to get them (including proxies). + Assembling data sets independently using knowledge of Highmark operational and analytic data structures. + Delivering the analytical solution to several complex business problems simultaneously. + Documenting objectives, assumptions and processes and enriching/expanding our standards as needed + Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires: Proficiency of a substantial number of advanced analytical techniques and mastery of a few, evidenced by in-depth knowledge and delivery record (for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing) + Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will include: Written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications for a broad range of audiences, the analyses performed, and how the results link directly back to business objectives, and lead implementation which drives frontline workflow. + Plan, prepare and deliver/coordinate all elements of several analyses largely independently in such a way that it is delivered on time, to a high standard and ready to implement on a production basis (including dissemination through the Organization's user systems). This includes identifying the best route to implementation (developing the analytical solution accordingly). + Expertise and in-depth understanding of subject, be the face of major projects within ED&A, external presence/earned credibility (conferences, white papers, local/national associations); mentoring/teaching others + Other duties as assigned or requested. **EDUCATION** **Required** + Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field **OR** Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree **Preferred** + PhD in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field **EXPERIENCE** **Required** + 5 years of Data Science + 3 years Data Science (if PhD Education) **Preferred** + Natural Language Processing + Computer Vision + Experience in Healthcare/Health Insurance is a plus **LICENSES OR CERTIFICATIONS** **Required** + None **Preferred** + None **SKILLS** + Analysis of business problems/needs + Analytical and Logical Reasoning/Thinking + Collaborative Problem Solving + Data Analysis with SQL, BigQuery + Statistical Analysis with Python, R + Written & Oral Presentation Skills + Basic proto-typing/front end skills **Language (other than English)** None **Travel Required** 0% - 25& **PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS** **Position Type** Office-Based Teaches / trains others regularly Occasionally Travel regularly from the office to various work sites or from site-to-site Never Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Frequently Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely **_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._ **_Compliance Requirement:_** _This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._ _As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._ _Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._ **Pay Range Minimum:** $108,000.00 **Pay Range Maximum:** $199,800.00 _Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._ Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability. EEO is The Law Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity ( _********************************************************************************************************* ) We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact number below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J250489

Remote - US Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry's most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years. As a Data Scientist, you will play a critical role in analyzing and interpreting complex supply chain data, identifying trends, and developing predictive models to inform strategic business decisions. Your expertise will help our customers optimize their supply chains, improve efficiency, and drive business growth. **What You Will Be Doing** + Collect, process, and analyze large datasets relating to supply chain operations from Cleo Integration Cloud. + Develop and apply advanced statistical models, machine learning algorithms, and data visualization techniques to identify trends, patterns, and correlations. + Collaborate with cross-functional teams to integrate data insights into business decisions, driving supply chain optimization and improvement. + Design and implement data-driven solutions to address supply chain challenges, provide insights, and detect anomalies in supply chain execution + Stay up-to-date with industry trends, emerging technologies, and innovative data science methodologies. + Communicate complex data insights effectively to both technical and non-technical stakeholders. **Your Qualifications** + Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field + Proven experience (3+ years) in data science + Strong programming skills in languages such as Python, R, or SQL + Experience utilizing visualization tools to take advantage of the growing volume of available information + Experience working with large datasets and integration platforms **A few things we have to offer:** + Competitive compensation + Great Healthcare + Dental + Vision + Flexible PTO + Culture of support, encouraging Life-Work balance + 401k match + FSA and HSA options + Employee Assistance Program + Paid Parental Leave + Representing a company with 4,000+ clients and a 99% retention rate + Accelerated title and salary growth potential + A fun and energetic work environment that makes you excited to go to work every day _Cleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law._

Provide statistical support for the development of measurement/re-measurement techniques, data analysis and reporting of quality improvement projects, surveys and HEDIS needs. Assist in the coordination of data activities for specific projects and assure compliance with established protocols and contractual requirements. Works under the direct supervision of Supervisor or Manager. Support the organization's mission, vision, and values by exhibiting the following behaviors: Honesty, Excellence, Accountability, Respect and Teamwork. ESSENTIAL JOB FUNCTIONS: Act as second analyst on assigned projects. Develop and write suitable data sampling frames to meet project goals and objectives. Download/export data from large data sets/databases and generate SAS code to edit data for accuracy and completeness; conduct analyses using SAS statistical package or geospatial software. Transfer data into formats conducive to appropriate analyses. Interpret, summarize, and document results from statistical analyses. Produce graphs, charts, and other visual representations of data. Demonstrate knowledge of commonly used concepts, practices, and procedures related to program evaluation. Prepare summary reports of analysis for presentation to internal and external clients. Assist with presentations to be given at local, state, or national conferences. Ensure projects follow AFMC and/or certified survey protocol in terms of abstract design, data collection, statistical analysis, and contractual requirements. Write or update project methodologies as needed to accomplish project goals and objectives. Assist with analysis plans and detailed specifications for analysis files, consistency checks, tables, and figures. Communicate effectively with internal and external clients. Assist with data entry, data verification, verification of results and database maintenance as required or directed. Assist with report production, adhering to format, content, and style guidelines, giving consideration to usability, and ensuring accuracy, consistency, and quality. Assist with workshops, seminars and staff training as needed. Follow AFMC, state and federal protocols regarding data confidentiality/security and HIPAA compliance. Additional duties as assigned. KNOWLEDGE, SKILLS, AND ABILITIES: Intermediate skill level with MS Office (Word, Excel, Outlook, and PowerPoint). Type 40 wpm Advanced skill level with SAS. Ability to apply statistical and mathematical concepts. Possess a strong understanding of quantitative methods. Ability to maintain confidentiality. Strong oral and written communication skills. Creativity. Customer service. Ability to meet deadlines. Attention to detail. Flexibility. Ability to work collaboratively and independently to achieve stated goals. Initiative. Must be able to relate professionally and positively with staff, business partners, customers, constituents, recipients, and the public. Ability to multitask. Ability to prioritize. Strong organizational skills. Problem solving skills. Professionalism. Ability to read, interpret and apply laws, rules, and regulations. Time management skills. Medical terminology. Requirements Physical and Sensory Requirements (With or Without the Aid of Mechanical Devices): Mobility, reaching, bending, lifting, grasping, ability to read and write, ability to communicate with personnel, ability to remain calm under stress and ability to travel. Must be able to lift and transport 25 pounds. Must be capable of performing the essential functions of this job, with or without reasonable accommodations. EDUCATION: : Bachelor's degree in computer science, mathematics, statistics, or related field Desirable: Masters in statistics or related field EXPERIENCE: : One (1) year experience in statistical analysis including writing SAS programs, data manipulation, model estimation and model evaluation INTERNET REQUIREMENTS: Reliable, high-speed wireless internet service (Wi-Fi)

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Imagine the possibilities at Ford! Great ideas evolve into extraordinary products and customer experiences. When you bring passion and dedication to your job, there's no telling what you can accomplish. The Digital Manufacturing Systems team is seeking a Staff Data Scientist to help imagine, invent, and implement the technology used to manufacture the next generation of Ford vehicles. Our environment fosters product innovation, rapid iteration, and a significant amount of autonomy. Our development stack is diverse and includes a wide range of technologies, including low-level and server-side programming. Our team values fun, camaraderie, learning, and collaboration, and we are looking for someone who shares these values. We hold ourselves and our solutions to the highest standards, which we maintain through constructive code reviews, brainstorming sessions, and pair programming when appropriate. Additionally, we prioritize personal relationships and take the time to get to know each other and our partners. Sound good? We would love to hear from you. **In this position...** The Digital Manufacturing Systems team is seeking a highly skilled and experienced Staff Data Scientist to join our growing data science team. The ideal candidate will have a proven track record of successfully designing, developing, and deploying data-driven solutions to complex business problems. This role requires strong technical skills, excellent communication abilities, and the ability to work independently and collaboratively within a team. **What you'll do...** + **Lead and execute data science projects:** Independently manage the entire lifecycle of data science projects, from problem definition and data acquisition to model development, deployment, and monitoring. This includes defining project scope, setting timelines, and managing resources effectively. + **Develop and implement advanced analytical models:** Build and deploy machine learning models, statistical models, and other analytical techniques to solve business problems across various domains. This may involve a variety of techniques, including regression, classification, clustering, time series analysis, and deep learning. + **Data mining and analysis:** Extract, clean, transform, and analyze large datasets from various sources. This involves working with SQL, NoSQL databases, and potentially cloud-based data warehouses. + **Develop and maintain data pipelines:** Design and implement robust and scalable data pipelines to ensure efficient data flow and accessibility for analysis and model training. + **Collaborate with cross-functional teams:** Work closely with engineers, product managers, and other stakeholders to understand business needs, define project scope, and communicate findings effectively. Strong communication and presentation skills are crucial. + **Mentor junior data scientists:** Provide guidance and support to less experienced team members, fostering a collaborative and learning-oriented environment. + **Stay current with the latest advancements in data science:** Continuously learn and explore new techniques and technologies to enhance the team's capabilities. + **Contribute to the improvement of data infrastructure and processes:** Identify areas for improvement in data quality, data governance, and data infrastructure and propose solutions. **You'll have...** + PhD degree in Computer Science, Statistics, Data Science or a related field or a combination of education and equivalent work experience + 10 + years of experience as a Data Scientist. + 5 + years of programming experience in Python or R, including experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). + 5 + years of experience in statistical modeling, machine learning, and data mining techniques. + 3 + years of experience with SQL and NoSQL databases. **Even better, you may have...** + PhD degree in Computer Science, Statistics, Data Science, or a related field + Experience with cloud computing platforms (Azure, GCP) + Excellent communication, presentation, and collaboration skills. + Ability to work independently and manage multiple projects simultaneously. + Demonstrated ability to translate business problems into analytical solutions. + Experience with specific industry domains (e.g., manufacturing) + Experience with A/B testing and experimentation + Experience with model deployment and monitoring + Publication record in relevant conferences or journals + Experience with data visualization tools (e.g., Steamlit) You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including: + Immediate medical, dental, and prescription drug coverage + Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more + Vehicle discount program for employees and family members, and management leases + Tuition assistance + Established and active employee resource groups + Paid time off for individual and team community service + A generous schedule of paid holidays, including the week between Christmas and New Year's Day + Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ********************************************************************************************************************* This position is a leadership level 6 Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. \#LI-remote \#LI-LA1 **Requisition ID** : 38278

The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R) to build scalable machine learning data products and solutions. The Data Scientist's responsibilities include collaborating with internal and external stakeholders to identify insight requirements and applying creativity to test hypotheses, prepare data, build models, analyze and visualize results, and integrate the solution into innovative data products. The Data Scientist will be a champion of the latest and greatest Machine Learning and Artificial Intelligence technologies, with a specialization in Generative AI.What you will do: * Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products. * Specialize in building data pipelines, developing machine learning models, and performing advanced analytics and statistical analysis. * Build, evaluate and optimize models which incorporate machine learning, artificial intelligence, and Generative AI. * Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue. * Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation. * Build expert knowledge of the various data sources brought together for audience segmentation solutions - survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data. * Work with Product and Engineering teams to transition development projects to production systems. * Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences. * Provide mentorship and guidance to data scientists where necessary. **Required Skills:** * Expert-level experience with Adobe's analytics tools (e.g., Adobe Journey Analytics) and third-party SaaS tools (e.g., Databricks, R). * Experience with applying statistics and data science tools on large datasets. * Deep knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques. * Specialization in Generative AI. * Expert at model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches. * Extensive experience with data preparation (normalization, scaling, etc.) for modeling. * Proficient in Python/R, APIs, Excel, LLMs, SQL, and Power Automate. * Exposure to Spark/PySpark systems in a distributed computing environment. * SQL mastery, including techniques for writing efficient code over large datasets. * Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models. * Excel at handling both structured and unstructured data. * Strong analytical skills and proven track record in deploying innovative SaaS solutions in the tech industry. * Attention to detail and time management delivering high-quality work for multiple projects across several engagements while meeting deadlines. * Bachelor's Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Master's Degree in a quantitative field and relevant work experience. **Qualifications:** * Bachelor's Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Master's Degree in a quantitative field and relevant work experience. * Proven experience in developing and implementing machine learning models in a business environment. * Demonstrated ability to handle complex data sets and perform sophisticated data analysis. * Strong programming skills in Python and/or R. * Experience with APIs and integrating them into data solutions. * Advanced proficiency in Excel for data analysis and reporting. * Familiarity with Large Language Models (LLMs) and their applications. * Strong SQL skills for database management and data manipulation. * Strong problem-solving skills and ability to think creatively and critically about data. * Excellent communication skills, both written and verbal, with the ability to present complex data insights to non-technical stakeholders. * Ability to work collaboratively in a team environment and mentor junior data scientists. * Self-motivated with a strong desire to learn and stay updated with the latest advancements in data science and machine learning technologies. **Primary Location City/State:** Homebased - Conway, Arkansas**Additional Locations (if applicable):** Mexico CityAcxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City , Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact ******************. We are leaders in helping brands achieve the number one mantra for every business - know your customer. For fifty years, we've helped marketers deal with a fast-changing future of growing channels, data and technology. By understanding the customer, marketers can communicate with relevance everywhere and drive better customer experiences that build a better brand and, in turn, better business. We're one of the marketing industry's most experienced, respected and forward-thinking leaders. For nearly fifty years, we've helped the world's best marketers understand their customers so that they can reach people with relevance rather than randomness. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel. Our job opportunities will give you the opportunity to showcase your talents, grow your skills, and expose you to cutting-edge technologies, whether you're an engineer, developer, products guru, systems and security expert, sales and consulting executive, or an intern looking to gain real experience with a company that will make you stand out. At Acxiom, our values begin with our associates, who are the single most important driver of our success. We're looking to hire people who share our core values: collaboration, excellence, innovation, a focus on outcomes, and being empowered to make and own decisions that benefit our clients and our company. Our values represent our brand promise - to our clients and to our associates - and define our company culture. If you are interested in applying for employment with Acxiom and need special assistance or an accommodation to apply for a posted position, contact our recruiting department at **************. **We highly recommend you create an account to monitor your resume submissions. Click on the Sign In link above to create an account or sign up at the end of your appli

**Responsibilities** Professionals in data science are responsible for extracting insights and value from large and complex datasets to inform decision-making and drive innovation within organizations. They utilize their expertise in statistics, machine learning, and data analysis techniques to identify trends, patterns, and relationships in data and develop predictive models and actionable insights. Typical responsibilities include collecting and cleaning data from various sources, performing exploratory data analysis to understand data characteristics and relationships, and applying statistical and machine learning algorithms to analyze data and extract insights. Data science roles also involve developing and deploying data-driven solutions and models to solve business problems and optimize processes, and communicating findings and recommendations to stakeholders in a clear and understandable manner. Additionally, professionals may be involved in designing and implementing data pipelines and infrastructure to support data processing and analysis, and collaborating with cross-functional teams, such as software engineers, business analysts, and domain experts, to integrate data science solutions into applications and workflows. Their expertise in areas such as programming languages (e.g., Python, R), data visualization tools, and domain-specific knowledge enables organizations to harness the power of data to drive strategic decision-making, improve efficiency, and gain competitive advantage. This position sits at the forefront of artificial intelligence and data analytics. You will be responsible for designing and developing AI and machine learning capabilities for our growing client base. You should have strong programming skills and must have professional experience in one or more of the following areas: + Natural Language Processing + Deep Learning + Neural Networks You will join a team of experienced engineers, scientists and entrepreneurs bringing practical AI solutions to support innovation with our federal customers. As part of the team, you will work closely with government clients to understand current issues and challenges, conduct rigorous data analysis, design and build solutions, and foster the clear understanding of the results. Your responsibilities will include: + Designing and developing machine learning models + Running AI and machine learning tests and experiments + Evaluating new techniques and making technical recommendations + Running numerous experiments in a fast-paced and fun environment + Mentoring junior data analytics and machine learning engineers to improve their technical skills **Required Qualifications** + Bachelors in Computer Science, Engineering, or related and 3+ years of experience. Or, a Masters degree in Computer Science, Engineering, or related and 1+ years of experience. + Programming experience with TensorFlow, C++, PyTorch, Python and R. + Ability to help visualize the data for analysis and to display results. + Experience with Large Language Models, Vector and Graph databases. + Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels. + Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment. **Desired Qualifications** + Experience performing analysis of data through use of mathematical equations, sortation, tools, and optimization techniques. + Experience in quantitative research. **Overview** Noblis (*********************** and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Noblis -About Us (***************************************** **Why work at a Noblis company?** Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards (************************************ . Noblis maintains a drug-free workplace. **Total Rewards** At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits (************************************* page on our Careers (**************************** site. Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package. **Posted Salary Range** USD $61,600.00 - USD $96,250.00 /Yr. **Equal Employment Opportunity** Noblis is an Equal Opportunity Employer. Employment decisions are made without regard to race (as well as because of or on the basis of traits historically associated with race, including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law. Noblis is committed to the full inclusion of all qualified individuals. As part of this commitment, Noblis will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact ********************************* **.** **Apply for this job** Make a Referral (**************************************************************************************************************** **Connect With Us!** Want to know about available job opportunities at Noblis? Want to receive personalized alerts with jobs that match your skills and interests? Join the Noblis Talent Connection. **Posted Date** _2 weeks ago_ _(11/13/2024 9:46 AM)_ **_Requisition #_** _23947_ **_Security Clearance_** _None_ **_Employment Type_** _Full Time_ **_Portal Location : Location_** _US-Remote_ **_Telework Options_** _Remote_ **_Company_** _Noblis_

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Engineer, Product Analytics Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems 2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way 4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership 5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 10. Influence product and cross-functional teams to identify data opportunities to drive impact 11. Mentor team members by giving/receiving actionable feedback **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent 13. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 14. 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) **Preferred Qualifications:** Preferred Qualifications: 15. Master's or Ph.D degree in a STEM field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

* Having a Master's or a Ph.D. degree in Computer Science, Information Science, or a related discipline is a plus; * Having a data engineer certification (e.g., IBM Certified Data Engineer) is a plus; * A candidate with prior experience in data engineering and data management roles in social media data will be given preference. **Job Duties and Responsibilities****:** * Collecting and analyzing raw data from various sources including social media platforms; * Organize and maintaining datasets; * Improving data quality and efficiency; * Design and manage data pipelines that encompass the journey of data from source to destination systems; * Setup and manage the infrastructure required for ingestion, processing, and storage of data; * Evaluate the model needs and objectives; * Interpret trends and patterns of data; * Conduct complex data analysis and report on results; * Prepare data for analysis and reporting by transforming and cleansing it; * Combine raw information from different sources; * Explore ways to enhance data quality and reliability; * Identify opportunities for data acquisition; * Develop analytical tools and programs; * Collaborate with teams at COSMOS on several projects; * Other tasks as asked. * Technical expertise in data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques; * Excellent knowledge of programming/scripting languages (e.g., Java and Python); * Experience with data integration platforms and SQL database design; * Great numerical, analytical, and data security skills; * Degree in Computer Science, IT, or a similar field; a Master's is a plus; * Data engineering certification (e.g., IBM Certified Data Engineer) is a plus; * Prior experience as a data engineer or in a similar role is a plus. The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry ( MVR ) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. The below report is provided in compliance with the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act) and the Higher Education Opportunity Act (HEOA). The report will provide you with information on campus safety and security including information on various policies and procedures for reporting crime, safety and security prevention and protection programs, victim assistance services, fire safety, and other materials to assist you in maintaining your safety and security.

We are Mercedes-Benz Tech Innovation! We develop technological innovations, digital products and future-oriented software solutions and set new standards in car connectivity and the digitization of vehicles and sales. With over 1,400 employees in Ulm, Stuttgart, Berlin and Karlsruhe as well as in project hubs in Asia, we are not only a trustworthy partner and strategic ally, but also the largest software development subsidiary of Mercedes-Benz. What unites us? Our enthusiasm for innovation, the passion for modern technology, an agile mindset and the clear goal in mind: the transformation of Mercedes-Benz into "100% digital". Your tasks: In the area of Car Sales Forecasting & Distribution, we are looking for a Data Engineer (m/f/d) / Data Scientist (m/f/d) in the field of Advanced Analytics, Planning and Forecasting in Expert Data Intelligence for our Data Management & Analytics team. In customer projects, we use our deep expertise in analytics and our understanding of customer and vehicle data to generate new insights from data that enable our customers to make strategically important decisions. In the Data Management & Analytics team, you will work in an interdisciplinary manner with expert crews from Data Integration, Data Management, Data Intelligence and Data Experience to develop holistic analytics solutions tailored to our customers. In the Mercedes-Benz Tech Innovation Analytics Lab, you have the opportunity to permanently expand and contribute your professional and technological analytics know-how together as part of a team. "Making others better" is an important part of our culture - it is important to us that you and your team have the opportunity to constantly develop and challenge yourself every day. Your profile: The most important thing: You share our enthusiasm for data, use the possibilities of the latest technologies in the cloud and enjoy educating yourself constantly. You have a good understanding of business processes as well as a high interest in data architectures and modern data-driven analytics solutions. You have relevant experience in building data warehouse architectures and creating ETLs and have several years of secure development skills in Python, PySpark and/or Databricks. You have gained experience in data analysis with SQL and data visualization using Power BI or similar tools. You complement our team with very good written and spoken German and English skills. You have a solid and consolidated foundation with a bachelor's degree in computer science, business informatics, economics or a comparable education. Benefits Mobile Work In our work and leadership culture, "how" and "we" are more important to us than "where". Freedom and personal responsibility are, therefore, very important to us! Would you rather work remotely than in the office? Here, we are flexible and will find the optimal solution for you and your team after consultation! Flexible working hours We offer you flexible options for organizing your working hours: In addition to 30 vacation days and working hours which can be planned independently, you can also convert plus hours into free time and receive them permanently with a working time depot. In this way, we create harmonious spaces for the compatibility of private and professional life. In addition, almost all of our positions are suitable for part-time work. Personal development opportunities Through extensive internal and external training offers, conferences and online trainings, you can deepen your expertise and further advance yourself and your team. With Udemy Business, we also give you unlimited access to more than 6,000 online courses - learn whenever and wherever you want. Our culture At Mercedes-Benz Tech Innovation, we are a team! Our cooperation is based on mutual trust and respect. Flat hierarchies, an appreciative atmosphere, openness and open-mindedness are part of our daily work. Leadership Career We promote talent! With innovative processes and a wide range of possibilities, we unfold your potential holistically: After your leadership potential has been confirmed, we accompany and support you intensively on your way to becoming a leader. In addition to the possibilities of classic personnel management, you can also take on professional responsibility as a "Lead Expert". Health & Fitness Your health is important to us! In addition to discounted sports offers for your physical fitness in selected fitness studios in the region, we also offer you psychological counseling options around the clock with Instahelp. Corporate Benefits The security of a corporation and the flexibility of an independent company applies not only to your workplace, but also to your finances: You can benefit from a company pension plan or discover many great offers in the world of corporate benefits. A Great Place to Work Awards say more than words - Mercedes-Benz Tech Innovation has already received the "Great Place to Work - Best Employers" award several times. Maybe we will soon be your Great Place to Work!

Triple Point was founded in 2004 with the belief that connecting investing insights with the right resources and partners can deliver powerful solutions. Today, we manage more than £3.6 billion of assets for a broad range of investors, through four distinct investment strategies: Social Housing, Clean Heat, Private Credit and Venture. These are all areas where our expertise, empathy and resourcefulness make a real difference in unlocking long-term value. Our distinctiveness comes from our ability to connect the dots to get to the heart of any challenge, which makes us an essential partner to our clients and our investors, while leaving the world demonstrably better than we found it. We take our commitments seriously, which is why we're a certified B-Corp and signed up to the Principles for Responsible Investment. There are 250 of us at Triple Point. Engineers rub shoulders with lawyers, and accountants work alongside investment professionals. It's important to us everyone's voices are heard, and that everyone can contribute to decision-making. We're looking for people who share our values because applying different perspectives towards a common goal drives us forward in unexpected and exciting ways. Role Summary We are seeking a Senior Data Engineer to join our team on a critical system and data migration project. This role will play a key role in an ongoing initiative that has been underway throughout the calendar year, supporting the migration and consolidation of data across our organisation. The ideal candidate will possess extensive experience across the full data lifecycle, with particular proficiency in ETL processes, data collection from diverse sources, high-speed data cleansing, and rigorous testing and validation to ensure data integrity and quality. This role requires a deep understanding of data movement tools and advanced programming skills in Python, enabling efficient data transfer and transformation to meet organisational needs. Additionally, the successful candidate will collaborate with business users, providing guidance and technical insights to data providers and validation teams on effective data handling techniques. What you will bring As we are in the early stages of building a Snowflake based data warehouse, experience in architecting and implementing data warehouses from the ground up is essential, alongside a strong understanding of how to optimise for scalable and resilient reporting frameworks. Knowledge of Snowflake, ETL best practices, and the ability to construct a data infrastructure that supports sophisticated, future-proof reporting are key. Prior experience in the financial lending sector would be advantageous, as much of the data you will be working with is within this area. An affinity with financial products and lending will enable you to hit the ground running in this highly paced project. Furthermore, this individual will work closely with team members of varying levels of data engineering experience, sharing best practices, mentoring on data warehousing and ETL techniques, and fostering a culture of technical excellence. Main Responsibilities Lead and execute data migration tasks, working closely with cross-functional teams to ensure seamless integration and data quality. Design, implement, and optimise ETL processes to facilitate data collection, transformation, and loading from diverse sources. Build, maintain, and improve the Snowflake data warehouse, ensuring scalability and resilience for future reporting needs. Collaborate with business users, providing guidance on data management practices and troubleshooting data quality issues. Develop and maintain Python scripts and data pipelines for automation and streamlined data processes. Conduct rigorous data cleansing, validation, and testing to uphold high standards of data integrity across all systems. Support and mentor team members in best practices for data engineering, ETL, and warehousing, fostering a collaborative environment. Identify and address issues within the financial lending data set, applying industry knowledge to improve data reliability. Knowledge and Experience Extensive experience with the full data lifecycle, including data collection, ETL processes, cleansing, testing, and validation. Good knowledge of data sharing back to business users either via BI tools or direct data access for self-analysis in excel. Strong programming skills in Python for data engineering tasks, automation, and scripting. Proficient with data movement tools and techniques, ensuring efficient data integration and transformation across systems. Hands-on experience with Snowflake, including data warehousing architecture, setup, and optimisation for reporting. Familiarity with data governance principles, data quality standards, and best practices in ETL and data warehousing. Industry experience within the financial lending sector is highly desirable, especially in addressing domain-specific data challenges. Proven ability to mentor and develop less experienced data engineers, sharing best practices in data management and ETL. Strong analytical skills with attention to detail, ensuring data accuracy and reliability. Qualities and Competencies Strong attention to detail and ability to work with large and complex datasets. Collaborative, problem-solving approach Strong interpersonal skills, able to work across teams Must be a detail-oriented individual Ability to work independently and in a team environment Excellent communication and presentation skills Strong organisational and project management skills Proactive and results-driven attitude Inquisitive and curious personality Triple Point offers a wealth of benefits including a contributory pension, hybrid/flexible working and ongoing learning and development opportunities. Check out our comprehensive list of benefits HERE. Apply today for further information! Triple Point is dedicated to providing fair and equal opportunities for all individuals, including both current and potential employees. Discrimination of any kind based on factors such as age, disability, gender, sexual orientation, pregnancy, race, ethnicity, religion, gender identity, or marital status is not tolerated by the company. Our aim is to create a welcoming and diverse work environment where people from all walks of life feel valued and supported. We actively encourage individuals from various backgrounds to apply for job vacancies and become part of our team. STRICTLY NO AGENCIES

This is a greenfield opportunity to design and build new AI native cloud applications from the ground up. We are growing fast, still at an early stage, and working on new initiatives. You will be part of a team of hard-working, motivated, a diverse set of people, and given the autonomy as well as support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. We operate with a startup mindset providing the best of two worlds -- the autonomy to iterate on new ideas, working on cutting-edge technology, while sitting within a stable, larger organization at Oracle. We're working on big goals, and we need talented folks with equally big ambitions. Join us! **About the Job** We're seeking a highly skilled Data Scientist to modernize OHAI's Payer product portfolio with AI native applications. As a Data Scientist specializing in AI/ML, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our Payer product suite. You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to unlock machine learning capabilities in all our products. Our new platform will be built directly on Oracle Cloud Infrastructure (OCI) based on cloud native principles. We build to scale globally, leveraging state-of-the-art tooling, with zero downtime. **Responsibilities** **What You will Make Happen** + Design and develop solutions for + medical language learning through language models + interpreting health documents like health plans, prior authorization guidelines, patient charts and deriving meaningful insights through summarization, rule generation, etc + transforming rules and workflows into knowledge graphs and automate downstream processing + Work with Engineering team for training data acquisition and data analysis + Follow the process for ML use case evaluation and planning + Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval + Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts + Fine-tune and optimize large language models such as Cohere for specific use cases in the healthcare. + Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases. + Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance **About You (Qualifications** ) + Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience + 4+ years of experience in data science + Focus on building and deploying language AI + Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R. + Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes). + Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation. + Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models. + Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems. + Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders + You are comfortable with ambiguity. You have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion + You are excited to learn new technologies and stay on the cutting edge of what's possible + You have taken a product or platform from 0 to 1, you know what it takes to launch something Career Level - IC2 **Responsibilities** Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $65,600 to $158,200 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one. **Disclaimer:** Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. *** Which includes being a United States Affirmative Action Employer**

At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. **Job description** Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. **Key duties and responsibilities** In this role as a Data Scientist, you will: + Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products + Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams + Contributes towards the common data science platform + Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments **Key requirements** + 3+ years of experience developing AI / ML applications and data driven solutions + Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience + Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques + Deep understanding of CS fundamentals, computational complexity and algorithm design + Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes + Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries + Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems + Experience mentoring junior team members + Excellent problem solving and communication skills + Nice to have + M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences. + Knowledge of the healthcare domain and experience with applying AI to healthcare data + Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake + Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs **Our Guiding Principles at Norstella** 01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. 02: Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. 03: Kindness, Empathy, Grace We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. 04: Resilience, Mettle, Perseverance We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. 05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Education benefits Paid parental leave Paid time off **_*Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.*_** The expected base salary for this position ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] . Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

**Our Company** At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers' customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. **What You'll Do** In this age of disruption, organizations need to navigate the future with confidence, embracing decision-making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The Revenue Marketing & Analytics team leverages the power of data, analytics, science and technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making to optimize revenue. Work together with the Marketing Leadership Team, GTM Team and LOB by architecting organizational intelligence programs and differentiated strategies to win assist in maximizing marketing programs. To succeed in this role, you must have significant experience with analytics software, such as Google Analytics, Power BI and other relevant tools, and programming languages (SQL/Python/R). + Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. + Leverage automation and data science-based techniques to manage data, predict scenarios and prescribe actions. + Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing data intelligence for continuous insights and improvements. + Travel up to 30% **What Makes You a Qualified Candidate** + 8+ years of relevant data management and/or cloud analytics (AWS, GCP, Azure) consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling) + 4+ years of experience leading and managing data delivery project teams through all phases of the project lifecycle from scoping and planning, requirements gathering, design, development, testing, and go live. + Significant experience leading complex data management engagements and team sizes ranging from 5 to 20 resources. + Bachelor's Degree or equivalent professional experience **What You'll Bring** + Experience with other data management toolsets: Salesforce, Eloqua, 6sense, Aprimo, Google Analytics, Teradata, Microsoft BI, etc. + An advanced degree in the area of specialization + Proven skills as a team member, team lead or project manager on multiple full life cycle implementations. + A proven resource in defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines. + Eagerness to mentor junior staff and raise the quality of data strategy, design and implementation across the practice by sharing insights and methods through training, community, etc. + Committed to gaining exposure to multiple industries while further developing your career. + Adept at implementing technology-enabled business solutions for clients as part of a high-talent team. + Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint) Pay Rate: $128,900.00 - $161,200.00 - $193,400.00 Annually **Why We Think You'll Love Teradata** We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. \#LI-OC1 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Pay Rate: 128900.0000 - 161200.0000 - 193400.0000 Annually Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Learn more about Teradata's competitive Total Rewards package at **************************************************