Data scientist jobs in Sanford, NC

Our client in Durham NC, a company in the healthcare industry is seeking to hire a Software Engineer, hybrid remote, full-time. Candidates must be a GC holder or a US citizen, (no H1B or OPT visa) Requirements: • Python (production experience) • SQL (hands-on querying with large datasets) • Google Cloud Platform (GCP) (real-world usage) • Experience working with large-scale or distributed data systems • Healthcare / HealthTech experience • Exposure to medical data or regulated data environments (e.g., medical imaging, clinical data, HIPAA/GDPR compliance) STRONG TECH PREFERENCES • BigQuery • Dataflow (major positive) • Apache Beam • App Engine • Cloud Functions (GCP preferred) • GitHub / GitHub Actionsark

Immediate need for a talented Principal Big Data Engineer. This is a 12+ months contract opportunity with long-term potential and is located in Durham, NC(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-94747 Pay Range: $63 - $73 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: We are seeking a highly motivated Data Engineer to join the Data Aggregation team. Data Aggregation is a growing area and we are looking for a skilled engineer to drive design and development of industry leading external facing API solutions. The comprehensive API / data solutions will seek to bring together retail, clearing and custody capabilities to help external fintech partners with the financial goal planning, investment advice and financial projections capabilities to better serve our clients and more efficiently partner with them to accomplish their financial objectives. Key Requirements and Technology Experience: Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 10 years of working experience Big Data Processing: Apache Spark (EMR), Scala, distributed computing, performance optimization Cloud & Infrastructure: AWS (S3, EMR, EC2, Lambda, Step Functions), multi-region DR strategy Databases: Cassandra/YugaByte (NoSQL), Oracle, PostgreSQL, Snowflake Data Pipeline: ETL design, API integration, batch processing DevOps & CI/CD: Jenkins, Docker, Kubernetes, Terraform, Git Monitoring & Observability: Splunk, Datadog APM, Grafana, CloudWatch Orchestration: Control-M job scheduling, workflow automation Financial domain experience Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Title: Azure Data Engineer Job Type: Contract Key Responsibilities Have 8+ years of hands on experience in providing technical expertise in IT projects , enterprise integration solution and SOA - Well versed with best practices in software design & development using Kafka , Spark & Streaming Frameworks - Good knowledge of RDBM ( PostgreSQL/Oracle/ SQL Server ) - Good knowledge of ADF Pipelines and Big Data solutions (Spark/Azure/Databricks ) - Have a good knowledge of Data Warehouse solutions. - Have a fairly good knowledge of Financial Services domain - Have experience in leading a team of technocrats, especially for high performance, large scale systems - Have excellent understanding of object oriented design, database design and development. - Have excellent written and verbal communication skills and an ability to work as part of a global team Thanks Aatmesh *************************

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a skilled Data Engineer to join our team and help implement and advance our data strategy. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines in Azure, automating workflows, and ensuring data quality across our systems. You will collaborate closely with analysts and subject matter experts in a fast-paced, global environment to deliver scalable data solutions. Responsibilities: Design, develop, and maintain efficient data pipelines in Azure to support data ingestion, processing, and storage. Automate both real-time and batch data workflows to ensure timely and reliable data delivery. Integrate data from various sources and synchronize data across multiple systems. Implement and monitor data quality checks to ensure data integrity, consistency, and reliability. Assist in building infrastructure and DevOps pipelines to support deployment and monitoring. Collaborate with cross-functional teams to optimize data workflows and architecture. Contribute to the development of data governance, security, and compliance practices. Requirements: Proven experience working with cloud data platforms, specifically Azure. Strong proficiency with Azure/Power Platform data technologies including:Data Factory Data Lake Storage Data Fabric SQL Database Data Explorer Synapse Analytics Purview Knowledge of Azure Identity Management tools such as:Azure Key Vault (AKV) User Assigned Managed Identities (UAMI) We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Only USC and GC Experience in developing and proficient in SQL and knowledge on Snowflake cloud computing environments Knowledge on Data warehousing concepts and metadata management Experience with data modeling, Data lakes multi-dimensional models and data dictionaries Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning. Experience in query performance tuning and cost optimization in a cloud data platform Knowledge in Snowflake warehousing, architecture, processing and administration , DBT , Pipeline Hands-on experience on PLSQL Snowflake •Excellent personal communication, leadership, and organizational skills. •Should be well versed with various Design patterns Knowledge of SQL database is a plus Hands-on Snowflake development experience is must Work with various cross-functional groups, tech leads from other tracks Need to work with team closely and guide them technically/functionally Must be a team player with good attitude

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health * We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. * We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. * We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job Responsibilities Summary The Principal Clinical Data Scientist provides strategic and operational leadership for end-to-end clinical data collection, cleaning, and quality oversight across complex clinical studies. This role serves as the functional lead for Clinical Data Science, ensuring clinical data deliverables are fit for purpose, compliant with regulatory and contractual requirements, and aligned with sponsor expectations and study timelines. The position partners cross-functionally to drive data quality, risk mitigation, analytics innovation, and timely delivery of clinical data milestones. Responsibilities * Serve as the Data Management Functional Lead for Clinical Data Science on complex, multi-scope clinical projects and act as the primary liaison between Clinical Data Science, Project Management, Clinical Monitoring, and other functional groups. * Develop Data Management Plan, Communicate, troubleshoot, and resolve complex data-related issues; recommend solutions and escalate issues impacting patient safety, data integrity, or study analysis * Act as the central steward of clinical data quality through holistic review of clinical and operational data using detailed protocol and therapeutic area knowledge. * Ensure required data elements and corresponding data quality oversight steps are identified to support defined study analyses. * Coordinate cross-functional data cleaning activities to meet quality standards, timelines, and contractual obligations. * Communicate, troubleshoot, and resolve complex data-related issues; recommend solutions and escalate issues impacting patient safety, data integrity, or study analysis. * Develop Clinical Data Acquisition Plans and data flow diagrams for complex studies and align data flow with study protocols, regulatory requirements, and study endpoints. * Assess risks related to protocol design, program-level strategies, and study parameters that may impact data credibility and trial reliability. * Design and drive development of analytical tools and dashboards to identify potentially unreliable or high-risk data. * Perform analytic reviews as defined in the scope of work and data acquisition plans; identify root causes and implement systematic resolutions. * Demonstrate understanding of advanced technologies and assess their applicability to individual studies or programs. * Monitor and communicate project progress using status reports, tracking tools, and metrics to Sponsors and internal teams. * Ensure launch, delivery, and completion of Clinical Data Science milestones in compliance with contracts, SOPs, guidelines, and regulatory requirements. * Collect and analyze metrics to support continuous process improvement initiatives. * Review and manage Clinical Data Science budgets, identify out-of-scope activities, and initiate change orders through Project Management. * Plan, manage, and allocate Clinical Data Science resources and coordinate the work of assigned team members. * Develop and maintain project plans, specifications, and documentation in compliance with SOP requirements. * Maintain ongoing documentation and ensure Trial Master File (TMF) completeness and accuracy. * Participate in and present at internal, Sponsor, investigator, and third-party meetings. * Provide input to proposals, bid defenses, and RFP responses and promote new Clinical Data Science business opportunities aligned with Sponsor strategies. * Prepare documentation for and participate in internal and external audits. * Train and mentor junior team members and maintain proficiency in Clinical Data Science systems through ongoing training. * Perform other duties as assigned. Qualifications Education * Bachelor's degree in Biological Sciences, Computer Science, Mathematics, Data Science, or related discipline required. * Master's degree preferred. * Equivalent relevant experience may be considered in lieu of degree. Experience * Minimum of 10 years of experience in Clinical Data Management and/or Clinical Data Science. * At least 5 years of project management experience. * Experience with Clinical Data Science practices and relational database management systems. * In-depth knowledge of the drug development lifecycle, including risk-based data quality approaches and biometrics workflows. Skills & Knowledge * Expertise in protocol interpretation, data collection strategies, and data cleaning specification development. * Knowledge of ALCOA++ data quality principles. * Knowledge of medical terminology, clinical trial data, and ICH/GCP regulatory requirements. * Proficiency with Microsoft Word, Excel, PowerPoint, email, and Windows-based applications. * Strong leadership, communication, organizational, and time-management skills. * Ability to manage multiple priorities in a fast-paced, dynamic environment. * Ability to work independently and collaboratively across multidisciplinary teams. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $95,000.00 - $175,700.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. *************************** Additional Information Tasks, duties, and responsibilities as listed in this are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Principal Clinical Data Scientist- Clinical Data Management Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Reports To: Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 - 120k Please note: We are only able to consider candidates who are U.S. citizens or lawful permanent residents (green card holders) and who do not require current or future visa sponsorship of any sort. Position Overview We are seeking a highly skilled and analytical Data Scientist to join our team. The ideal candidate will leverage data-driven insights to solve complex business problems, develop predictive models, and support strategic decision-making. This role requires strong expertise in statistical analysis, machine learning, and data visualization, combined with the ability to communicate findings effectively to both technical and non-technical stakeholders. A successful candidate will be curious, self-directed, and thoughtful as they apply analysis to business issues. Mission: Provide actionable insights to IONNA Key Responsibilities Collect, clean, and preprocess large datasets from multiple sources. Develop and implement predictive models and machine learning algorithms to address business challenges. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Design and execute experiments to validate hypotheses and measure impact. Create dashboards and visualizations to communicate insights clearly and effectively. Collaborate with cross-functional teams (engineering, product, marketing) to integrate data solutions into business processes. Stay current with emerging technologies, tools, and best practices in data science and AI. Required Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, and a minimum of 3 years of relevant experience. Proven experience in data analysis, statistical modeling, and machine learning. Proficiency in programming languages such as Python or R. Strong knowledge of SQL and experience working with relational databases. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Excellent problem-solving skills and attention to detail. Strong communication skills to present complex findings in a clear and actionable manner. Preferred Qualifications Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of cloud platforms (AWS, Azure, GCP). Background in deploying machine learning models into production environments. Understanding of business intelligence and data governance principles. At IONNA, we believe in recognizing talent with a compensation package that truly stands out! Our competitive base salary is just the beginning. Dive into a world of rewarding bonus programs and a comprehensive benefits package that covers medical, dental, vision, and life insurance-planning for your future? We've got you covered with a robust 401(K) plan after 90 days! Enjoy the freedom of unlimited PTO and a generous schedule of paid holidays, along with invaluable employee assistance programs. We know every candidate is unique, so our base salaries reflect your individual skills, experience, and certifications. Join us and thrive in a supportive environment where your contributions are celebrated! We are committed to an inclusive and diverse team. IONNA is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

As a Senior Data Scientist II, you will leverage your advanced analytical skills to extract insights from complex datasets. Your expertise will drive data-driven decision-making and contribute to the development of innovative solutions. You will collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis. · Leading the development of advanced AI and machine learning models to solve complex business problem · Working closely with other data scientists and engineers to design, develop, and deploy AI solutions · Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs · Building models, performing analytics, and creating AI features · Mentoring junior data scientists and provide guidance on AI and machine learning best practices Working with product leaders to apply data science solutions We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 3-5+ years of professional experience (POST GRAD) as a delivery-focused Data Scientist or ML Engineer Understand how LLMs integrate to complex systems Deep understanding of RAG Strong in Python Expeirence creating AI Agents and Agentic Workflows Masters and PHD

Job Description Note: Only on W2 Must be local to either Cary, NC or Irving, TX Client: Caterpillar Education: • Bachelors or Masters are required Qualifications: • 5+ years of experience are required Top Skills: • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow) • Strong foundation in statistics, probability, and machine learning • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Duties: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges

Temp Data Scientist - Boston, MA or NC, NH, RI, TX, MA, or CO (18 month contract- probable extension or permanent conversion) Notes: Master's Degree Required Python development to build time series models Run SQL queries Linux OS administration Any web development experience preferred. Experience working with Artificial Intelligence, Machine learning algorithms, neural networks, decision trees, modeling, Cloud Machine Learning, time series analysis and robotics process automation. Description: We are seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate's key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of customers. Absolutely critical is the associate's ability to carry an initiative from idea through to execution. 5+ years' experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred Natural programmer, and confirmed industry experience with statistics and data modeling Experience with one or more of the following tools/frameworks - python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc Education- At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc. Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation We are looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.

A pioneering life sciences research organization is looking for a Data Scientist or Senior Data Scientist specializing in statistical genetics and computational biology. The mission centers on leveraging advanced computational approaches and in vivo model systems to deepen insights into the biological and genetic mechanisms controlling human aging. The work enables innovative interventions that support longer, healthier lives. The environment offers a strong emphasis on fundamental discovery science, integration of academic and industry partnerships, and a dynamic therapeutic R&D pipeline. Key Responsibilities: Apply and advance statistical and computational methods for interpreting biobank\-scale and large cohort datasets, encompassing high\-dimensional phenotypes and longitudinal health data. Design and lead investigations to understand the genetic architecture of age\-related diseases and trait trajectories across populations. Merge multiple biological datasets (e.g., clinical, genetic, multi\-omics) to build new hypotheses for novel treatments targeting aging\-associated conditions. Develop reusable software tools and workflows streamlining analysis and data processing in diverse cohort research projects. Communicate results and collaborate closely with interdisciplinary teams spanning multiple scientific domains-internally and with external research partners. Requirements Ph.D. or equivalent advanced training in genetics, statistical genetics, computational biology, bioinformatics, or a related discipline. Demonstrated expertise in creating and deploying computational or statistical methodologies for large, complex biological\/phenotypic datasets. Proficiency with modern genetic analysis tools-including GWAS, burden tests, fine\-mapping, LD score regression, QTL mapping (eQTL\/pQTL), colocalization, polygenic risk scoring, Mendelian randomization-and specific techniques for studies involving diverse ancestry groups. Hands\-on experience analyzing large\-scale clinical and molecular data, such as genomics, imaging, multi\-omics, and longitudinal datasets. Knowledge of or experience with substantial human cohort research (e.g., UK Biobank, FinnGen, All of Us, or similar repositories). Advanced coding skills in Python and\/or R, with a portfolio of developed tools, libraries, or pipelines accessible to other scientists. Excellent communication and teamwork abilities, with a strong history of collaborating across varied scientific specialties. Onsite work required a minimum of 4 days per week. "}}],"is Mobile":false,"iframe":"true","job Type":"Full time","apply Name":"Apply Now","zsoid":"688258619","FontFamily":"Verdana, Geneva, sans\-serif","job OtherDetails":[{"field Label":"Industry","uitype":2,"value":"Science & Technology"},{"field Label":"City","uitype":1,"value":"Raleigh"},{"field Label":"State\/Province","uitype":1,"value":"North Carolina"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"27709"}],"header Name":"Senior Data Scientist, Statistical Genetics","widget Id":"**********00072311","is JobBoard":"false","user Id":"**********00248003","attach Arr":[],"custom Template":"3","is CandidateLoginEnabled":false,"job Id":"**********15404062","FontSize":"12","google IndexUrl":"https:\/\/callieregroup.zohorecruit.com\/recruit\/ViewJob.na?digest=u6RCQRHkFYC6J5ac54igRZ41KjdHuFUrHtGNB3loNr8\-&embedsource=Google","location":"Raleigh","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do","logo Id":"1gvk5a9fa9ad9912143c8885985d92ce2ae5f"}

We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in machine learning model development and production deployment, particularly in predictive and prescriptive analytics. The ideal candidate will have a strong technical background in Python, PySpark, TensorFlow/PyTorch, advanced ML algorithms (XGBoost, LightGBM, structural time series), and experience building scalable AI/ML architectures using platforms like Databricks and cloud services. This role also requires strong collaboration and mentoring capabilities to translate ambiguous business challenges into end-to-end data science solutions, work effectively with cross-functional stakeholders, and guide junior team members through Agile development cycles. This position is 4 days in office, 1 day remote per week, based at our corporate headquarters in Raleigh, North Carolina (North Hills) Key Responsibilities Model Development & Technical Expertise Collaborate with cross-functional teams- IT Product, Merchandising, Supply Chain, and Finance-to Design and deploy machine learning solutions for demand forecasting, pricing, labor optimization, and supply chain efficiency. Hand-on expertise in training models such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM) using Gigabyte/petabyte scale data using pyspark or similar frameworks. Hands-on Expertise and knowledge of MLOps best practices and ML Engineering, to design and build robust batch and inference ML architectures. Establish best practices for model development, validation, and monitoring to ensure accuracy, scalability, and impact. Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch. Create robust and scalable AI/ML frameworks and build robust architectures. Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus. Collaboration & Communication Promote data-driven culture through analytical storytelling and stakeholder engagement. Work closely with stakeholders to understand business challenges and translate vague business requirements into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes. Ability to mentor and provide guidance to junior team members. Monitoring & Visualization Rapidly prototype and test hypotheses to validate model approaches. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, shapley values etc. Agile Execution Operate effectively in Agile environments, contributing to iterative development cycles and sprint planning. Adapt quickly to changing priorities while maintaining high standards of quality and innovation. Education & Experience: 5+ years of experience in Data Science, Machine Learning, AI/GenAI. Master's degree in computer science, Statistics, Operations Research or similar. Preferred: Experience in Retail Industry AI/ML certifications in Vertex AI/Databricks/AWS. 1+ years of experience as team lead. California Residents click below for Privacy Notice: ***************************************************

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

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *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 _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 (***************************************************************************************************************************

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do This position will primarily be responsible for supporting the data requirements of our E-Commerce and payments functions. The data scientist will work in a cross-functional team environment under the direction of the Platform Data Science Lead with support and direction from the E-Commerce Product Director. In addition to other responsibilities, this position will own and optimize processes and programming logic needed to capture data, transform into high usability data models, maintain, and validate the quality of both internally and externally sourced data that is critical in our financial and accounting processes. In this role, you will Work across Accounting, E-Commerce, Finance, and Analytics teams sharing KPI-driven reporting and insights Partner with ECOM product and programming to design, run, and report experiments to optimize front end and back end payment processing operations Develop and maintain standards for dashboards and reporting initiatives. This includes making sure data is visualized appropriately, creating consistent standards, and confirming that all data is accurate Partner with stakeholders and programmers to implement best in class data practices Provide insights and research into our payment ecosystem from a technical, financial, and user experience perspective Document requirements, develop, and deliver both written reports with analysis and charts on a dashboard Take accountability for the quality of data reported by our products, and work with programming and QA to consistently monitor and improve our data in order to produce a world class data ecosystem Perform statistical data analysis and next level analyses to showcase the impacts of various decisions around the product What we're looking for Minimum 5 years of professional experience as a data science professional in a payments or e-commerce environment Expert-level skills in Tableau, including dashboard design, performance optimization, and data storytelling Strong data modeling capabilities, with the ability to design scalable, efficient, and business-relevant data models Solid foundation in statistics and quantitative analysis, with the ability to design experiments, evaluate models, and interpret complex real world data Proficiency in Python for data analysis, managing DAGs and ETL, and data manipulation in PySpark Deep understanding of payment flows, e-commerce systems, and the payments landscape, including processors, gateways, and transaction lifecycles Ability to bring structure and clarity to ambiguous stakeholder environments through thoughtful frameworks and strong communication Very strong communication skills, capable of translating technical insights for executives, collaborating with developers, and aligning cross-functional teams Proficiency in query, analysis, and reporting tools such as SQL (any dialect), PySpark, Python, Tableau, Astronomer, GitHub, and Databricks User-focused and solutions-driven mindset, with a bias toward action, adaptability, and innovation in fast-paced environments This role is open to multiple locations in North America (including CA, NYC, & WA). Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren't limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic's generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). New York City Base Pay Range$181,477-$266,166 USDCalifornia Base Pay Range$159,700-$234,226 USDWashington Base Pay Range$145,181-$212,933 USD ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Immediate need for a talented Data Engineer. This is a 12+ months contract opportunity with long-term potential and is located in Durham, NC(Onsite). Please review the job description below and contact me ASAP if you are interested. Job Diva ID: 25-95096 Pay Range: $65 - $70 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; SQL Stored Procedures Aurora Postgres AWS (S3, Glue, Lambda functions) Java API Development Basic Snowflake experience Disaster Recovery Bachelor's degree in Computer Science (or closely related) 5+ years of experience in application and REST API development using Java Proven experience writing microservices with Java Strong in managing API to database connections using different relational database drivers (Oracle, PostgreSQL, etc.) Demonstrated experience developing, debugging and tuning complex SQL statements, PL/SQL packages and procedures Hands-on experience building highly resilient, scalable, and efficient solutions using AWS services like Lambda, Glue, step functions, etc. Hands-on experience with Aurora Postgres a big plus Experience with DevOps or CI/CD Pipelines using Maven, Jenkins, Terraform, Github, Ansible, etc. Experience in managing high volume customer-facing application traffic for API's Knowledge of Messaging Technologies (Kafka, Kinesis, SNS, SQS) Desire and ability to learn and implement new technologies Keen ability to see complex challenges from multiple perspectives, and leaning in to solve independently or with others Knowledge of how to develop highly scalable distributed systems using Open-Source technologies Proven knowledge of AWS via Associate, Professional, or Specialty Certification(s) a big plus Ability to validate, monitor, and solve issues during development, testing, or in production Excellent communication skills, both through written and verbal channels Our client is a leading financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. By applying to our jobs, you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.