Data scientist jobs in Jacksonville, NC - 606 jobs

*Top Skills' Details*** * *Data Engineering experience* * Experience with AWS/Public Cloud *Strong Python experience *Snowflake experience *Data Automation with AI (very important to this role) Building agents- using langchain or langraph They are using using langgraph Aws- understanding how to deploy on those *Description* Our client is currently seeking a Data Engineer with AI Automation experience. This role is a short-term role until they find funding to extend, but the manager said it could be 6 months before that happens with budget constraints. The person we put into the role could also be under consideration for the perm role. These are the areas where we can utilize someone who has experience in one of these areas: AI engineer - Experience building AI agents, MCP server/tools, etc. Data/ETL Engineer - Experience with Apache Airflow, Glue ETL, and Snowflake Python developer with AWS experience - to build scripts for different use cases and strong AWS knowledge is important UI developer(Angular) - we have a design ready for a dashboard where we can use them to finish that project. Ideally, someone would have experience in all 4 areas above but if someone is an SME in one of these areas, they will consider them. Data Engineer with AI Experience What You Will Do: * Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers. * Develop predictive models for drift detection, cost anomaly detection, and forecasting of public cloud resources and spend. * Automate operational workflows using machine learning and intelligent scripting. * Integrate AI-driven insights with Cloud Service Providers like AWS, GCP, Azure, and existing data and tools. * Conduct anomaly detection for security, cost optimization, and performance analytics. * Design, build, and maintain scalable ETL pipelines using AWS Glue and other cloud-native services. * Utilize AWS Athena for interactive querying of data stored in data lakes. * Manage and optimize data storage and processing using Snowflake cloud data platform. * Orchestrate complex workflows and data pipelines using Apache Airflow DAGs. * Continuously evaluate emerging AI technologies and tools for operational improvements. * Maintain documentation and best practices for AI/ML integration in cloud systems. Our Minimum Requirements Include: * Bachelor's or Master's degree in Computer Science, Data Science, or related technical field, or equivalent experience. * Proven ability building and deploying ML models, with at least 2 years focused on cloud operations. * Solid knowledge of cloud technologies (AWS, GCP, Azure, OCI). * Experience with Python, PySpark, and ML libraries such as PyTorch, TensorFlow, or scikit-learn. * Comfortable working with streaming data, APIs, and telemetry systems. * Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs. * Strong communication and multi-functional collaboration skills. * Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins). * Proficient in general-purpose programming languages (Python, Golang, Bash) and development platforms and technologies. Preferred Qualifications: * Understanding of Cloud Technologies and Services of one or more providers including AWS, GCP, Azure, Oracle, and Alibaba. * Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment. * Hard-working, dedicated to providing quality support for your customers. * Full stack development experience with Angular for frontend and Flask for backend application development *Additional Skills & Qualifications* Cloud management and optimization * Cloud account provisioning * Multi cloud management * Managed services Public cloud infrastructure- all public accounts- not deployments- they have top level governance of clouds- gov/security/ etc. they oversee that- GPC/Azure/ AWS/ etc. They have administration access to cloud. Responsible for security, governance, cost management Cloudx platform automation- this group of developers helps to rebuild different platforms to support various business units. Data from cost optimization- want to present data to but in a meaningful way Governance control- do that at scale-automation they dont use all LLM models to be used - build a pipeline with only the custom models Building the data pipelines Most deployments are done in AWS Public cloud Snowflake- all the data aggregated here Use Glue pipelines - in AWS Python scripts for the data Will dive more into AI in the coming months. Questions around cloud spend is already avail- they released- agentic AI approach MPC servers build those to support current environment Build AI pipelines for MCP servers Someone who knows data Data automation AI would be a good fit Building agents- using langchain or langraph They are using using langgraph Aws- understanding how to deploy on those They deploy in containers but they have a boiler plate so they don't need that exp necessarily Building Pipelines in Python ETL experience Taking data and making it meaningful into a pipeline Working with developers on the team and AI Organization deployments- monitor resources- if someone deletes- how do we remedy that? Monitoring that data Cost optimization/ security/ etc are the main use cases *Experience Level* Intermediate Level *Job Type & Location*This is a Contract position based out of Morrisville, NC. *Pay and Benefits*The pay range for this position is $40.00 - $45.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) *Workplace Type*This is a fully remote position. *Application Deadline*This position is anticipated to close on Jan 23, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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.

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.

Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Analytics, Data Science, Data Visualization, Statistics Certifications: None Experience: 0 + years of related experience US Citizenship Required: Yes Job Description: Seize your opportunity to make a personal impact as Data Scientist I supporting mission critical work on an exciting program. GDIT is your place to make meaningful contributions to challenging projects, build your skills, and grow a rewarding career. At GDIT, people are our differentiator. As a Human Performance Data Scientist I supporting our customer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Human Performance Data Scientist I joining our team. The Human Performance (HP) Data Scientist I supports the program by conducting basic data entry, data cleaning, and performance analysis that directly contributes to the readiness and resilience of Special Operations Forces (SOF) personnel. The position is designed to maximize the accuracy, integrity, and applied use of HP data across domains, with priority on SOF Operators and Direct Combat Support personnel. HOW A HUMAN PERFORMANCE DATA SCIENTIST I WILL MAKE AN IMPACT: The Human Performance Data Scientist I is responsible for entering, cleaning, and preparing HP data collected through program initiatives. Working with program staff and the Government biostatistician, the Human Performance Data Scientist I assist in building and maintaining databases and spreadsheets that capture performance metrics, wellness indicators, and program participation information. Assists in building and maintaining databases and spreadsheets that capture performance metrics, wellness indicators, and program participation information. Collaborates with strength coaches, dietitians, athletic trainers, physical therapists, psychologists, and cognitive enhancement specialists to identify opportunities for meaningful human performance data collection. Supports preparation of basic reports and presentations that communicate trends, participation metrics, and readiness insights for program leadership. The contractor receives access to Government systems and uses these systems to manage and analyze human performance data. WHAT YOU'LL NEED TO SUCCEED: EDUCATION: Bachelor's degree in quantitative science, social science or related discipline. Proficient with the suite of Microsoft Office programs, including Word, Excel and Access. Basic proficiency with commonly used statistical software applications such as SPSS, SAS, or R. Proficiency may be demonstrated through prior work history in sport science, military human performance, healthcare, research, or through a history of publications. Possess excellent communication skills and shall be highly detail oriented and organized LOCATION: Various CONUS SITES CLEARANCE: Ability to obtain and maintain Secret or Top-Secret Clearance. This is a contingent posting, expected to start in 2026. GDIT IS YOUR PLACE: 401K with company match Comprehensive health and wellness packages Internal mobility team dedicated to helping you own your career Professional growth opportunities including paid education and certifications Cutting-edge technology you can learn from Rest and recharge with paid vacation and holidays The likely salary range for this position is $72,877 - $98,599. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Onsite Work Location: USA FL Hurlburt Field - Hurlburt Fld (FLC017) Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Hello, I hope this message finds you well. I'm reaching out to share an exciting opportunity that I believe aligns with your experience and expertise in the field for my client. If you are interested, I'd love to connect and share more details. GenAI Engineer 100% Remote **NO H1B Candidates** REST ALL CAN APPLY ** Only W2 Candidates Experience - 10+ Years Job description:- Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following, AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles. Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch. Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim. Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools. Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset. Best regards, All done! Your application has been successfully submitted! Other jobs

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

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Use your Data Science skills in the fight against chronic diseases. Our client operates a pioneering disease management platform, focusing on delivering value-based care tailored to individuals with chronic conditions. By seamlessly integrating human expertise with cutting-edge software and analytics, the platform actively engages patients soon after diagnosis, ensuring they receive the most appropriate care swiftly. It offers continuous support by employing targeted, evidence-based interventions, significantly enhancing patient outcomes and making a meaningful difference in their health journey. As a Data Scientist, you will become an integral part of our Data team, tasked with enhancing our analytical capabilities to support our overarching mission. Your role will involve modeling data and crafting visualizations to communicate with stakeholders, delivering insights that prompt actionable measures. A background in working with healthcare data, including claims, prior authorizations, and electronic health records, is crucial for success in this role. You will work closely with teams across Product, Engineering, Clinical, and Operations to pinpoint opportunities for improving outcomes and monitoring the effectiveness of our interventions for our members and clients. Your contributions will be pivotal in establishing strong relationships with providers by developing data products that support practice transformation efforts. Within three months, you will: - Acquire a comprehensive understanding of our data platform, contributing to the enhancement of our data models and pipelines. - Forge relationships with oncology practices and providers, showcasing our expertise in developing data and analytics products. - Collaborate with stakeholders to grasp their business needs and translate these into technical specifications, involving the creation of data models, pipelines, and analytics dashboards using tools such as Looker or RStudio. This may include utilizing dbt to construct models for analyzing medical claims data to identify value care utilization across oncology practices or examining the dispersion of medical care among our members and its impact on out-of-pocket expenses. After six months, you will: - Assume responsibility for and lead the development of data models to assess the impact of our interventions with oncology practices, reporting outcomes both internally and externally. - Play a crucial role in enhancing our data infrastructure and devising a roadmap for a scalable and modular data architecture to accommodate our team's expansion. - Lead in the development of utilization and quality metrics, becoming the primary contact for stakeholder inquiries. You will also utilize our data assets for identifying business opportunities and strategic initiatives. Keys to success include: - Prioritizing our members. The mission of our organization, especially the experience of our members, is of utmost importance to you. - Being action-oriented. You have a knack for identifying and prioritizing the needs of your initiatives, ensuring that urgent and important tasks are addressed promptly. - Valuing diverse perspectives. You are humble, constantly seeking feedback, and are keen on learning and sharing knowledge. - Relevant experience. You have experience handling large healthcare datasets, preferably within a health plan or a healthcare-focused technology startup with advanced data structures and pipelines. Expertise in medical claims, pharmacy claims, eligibility files, and other pertinent healthcare data is vital for creating data marts for reporting and analysis. - Technical proficiency. Your skills in analytics, data modeling, and data transformation are essential. While familiarity with DBT is preferred, we welcome candidates who are eager to learn it swiftly. Experience with Python or R and tools like Looker for data analysis and visualization is advantageous. - Effective communication. You are adept at expressing your ideas clearly to both technical and non-technical team members and stakeholders. - Comfort with ambiguity. You have a proven track record of navigating through challenges and finding solutions in uncertain situations, particularly in fast-paced environments and ambitious startups.

Don't Just Analyze-Influence: Join EVOQ as Our Data Scientist As our Data Scientist, you will be responsible for developing an integrated data ecosystem across our agencies and client portfolios. You'll aggregate, clean, and analyze data from disparate systems (e.g., Shopify, Amazon Seller Central, TikTok Shop, Meta, Google Ads, GA4, HubSpot, and CRM systems) to deliver deep, actionable insights that drive revenue growth. This role is not about generating more data. Our clients need more signal and less noise. You will identify and articulate the strategic implications and deliver recommendations that are specific, actionable, and designed to influence behavior across organizations. You will be at the intersection of data science, strategy, and storytelling. You'll play a pivotal role in helping our clients answer complex questions such as: Are TikTok Shop or Amazon sales cannibalizing our DTC website sales? What is the true blended ROAS across all channels? How do paid, owned, and earned investments correlate with lifetime value and margin by channel? Which creative and influencer strategies drive incremental lift-not just clicks? How can we accurately calculate marketing attribution across channels-and build custom attribution models that reveal true incremental value?" You'll partner with our analytics, media, and strategy teams across all EVOQ agencies to create models, dashboards, and methodologies that help clients understand, predict, and optimize performance across channels. Let us introduce ourselves: EVOQ is not a holding company. It is a strategic collective of best-in-class, independently owned marketing agencies that share a common standard of excellence, a culture of innovation, and a commitment to client success. Each agency operates independently but is united by a shared belief: that collaboration, specialization, and strategic alignment can create marketing that outperforms expectations. EVOQ offers: Access to elite, discipline-specific expertise across the marketing ecosystem A flexible model: a la carte services or fully integrated solutions Scalable resources without the red tape of traditional holding companies A culture grounded in ownership, accountability, and entrepreneurial energy The freedom to innovate, evolve, and lead--not follow What you'll do as Data Scientist: Lead our data strategy: Design and maintain a unified data infrastructure connecting systems like Amazon, Shopify, GA4, TikTok Shop, and more Build robust ETL pipelines and APIs to centralize multi-channel data Develop a scalable data lake/warehouse for cross-agency analytics Establish strategic measurement frameworks that go beyond vanity metrics Build models that matter: Create econometric and attribution models (MMM, MTA) to decode marketing performance Analyze incrementality, channel cannibalization, and blended ROAS Deliver predictive models that uncover efficiency, margin growth, and ROI Translate complex data into insights that directly influence brand and business strategies Communicate for impact: Develop intuitive dashboards (Power BI, Looker Studio, etc.) Synthesize data into clear, compelling stories for both technical and non-technical audiences Define KPIs that align with client success and agency growth Help evolve our analytics culture with storytelling at its core Be a strategic leader: Serve as the group-wide data science expert across all EVOQ agencies Mentor analysts and build data fluency across functions Lead data governance and standardization efforts Stay ahead of trends in AI, marketing analytics, and e-commerce intelligence Knowledge and skills required for the position are: Bachelor's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Economics, or a related quantitative field. 7+ years of experience in data science, marketing analytics, or quantitative marketing roles, preferably in an advertising agency, performance marketing, or e-commerce environment. Proficiency with Python, R, SQL, and modern ETL tools (e.g., Airflow, dbt, Fivetran). Experience with data warehousing solutions (e.g., BigQuery, Snowflake, Redshift). Experience with marketing intelligence and attribution platforms (e.g., Northbeam, TripleWhale, Funnel) Familiarity with API integrations and marketing data connectors Hands-on experience with visualization platforms like Power BI, Tableau, or Looker Studio. Experience developing MMM, MTA, and causal inference models. Deep understanding of marketing and commerce platforms including Google Ads, Meta Ads, Amazon, TikTok Shop, Shopify, Klaviyo, GA4, and CRM systems. Experience analyzing blended ROAS, attribution, and incrementality in omnichannel campaigns. Preferred Qualifications Previous experience working with or within a digital or performance marketing agency. Proven ability to balance hands-on analysis with leadership and cross-team collaboration. Strong understanding of data privacy, governance, and compliance standards. Excellent communication and presentation skills-able to make the complex simple and strategic. Experience in influencing brand or media strategy through insight storytelling. Ability to simplify complex systems into frameworks, models, and stories that non-technical stakeholders can understand and act on. Join EVOQ as a Data Scientist and advance your career! EVOQ offers a competitive benefits package, including top-tier insurance, flexible PTO, and a 401k match. Apply Now!

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.

Must Have Technical/Functional Skills Technical Skills * Machine Learning (ML) techniques and algorithms * Hypothesis Testing and Statistical Analysis * Regression Analysis and Predictive Modeling * Natural Language Processing (NLP) * Programming in Python and/or R * SQL for data manipulation and querying * Experience with PyTorch and TensorFlow Functional Skills * Strong foundation in Mathematics and Statistics * Familiarity with Machine Learning product system design * Understanding of Large Language Models (LLMs) * Proficiency in model documentation and model governance Roles & Responsibilities * Work with business SMEs to understand data requirements and translate them into predictive models and analytical tools. * Apply NLP and applied mathematics techniques to develop text classification tools for automating manual document review processes. * Present insights using data visualization techniques and communicate findings effectively. * Assess the accuracy and effectiveness of new data sources and data gathering techniques. * Develop processes and tools to monitor and analyze model performance. Salary Range- $95,000-$130,000 a year

Are you looking for a Challenge? Looking for an innovative organization and the opportunity to learn and grow professionally? We can help! We are seeking a Data Scientist / Manager to support the United States Department of Agriculture (USDA) Forest Service in North Carolina. I've never heard of Terrestris. What do you do? At Terrestris, we leverage technology to create better mission outcomes through better human performance. We form strong client and team relationships through transparency and strive to create an environment where our team can let their excellence shine through. By finding, developing, and incorporating new ideas, we provide memorable services. Rooted in the USMC values of honor, courage, and commitment, Terrestris seeks to deliver extraordinary value to the American people by helping the Government become more efficient and effective. So, what will the Data Scientist / Manager at Terrestris do? As the Data Scientist / Manager you will be responsible for a wide range of duties including analytics; data input, retrieval and presentation, information gathering and documentation, and implementation of prescribed processes in support of organizational missions. You will further be responsible for performing analytical and evaluative work involving mathematics, statistics, and business knowledge to address workforce or mission issues and generate data-driven solutions in the analysis of FS program operations and decision alternatives. Finally, you will develop models for evaluation and assess data validity and reliability to aid stakeholders in understanding and utilizing analytical reports. What does a typical day look like for the Data Scientist / Manager? You will: Consult with cross-functional teams on the design and conduct of projects or studies to evaluate and resolve complex problems. Advise on the potential of data to provide new insights into the agency's mission. Identify, collect, cleanse, and analyze structured and unstructured data used to support assigned projects or program(s). Explore patterns, correlations, and causations from various systems and datasets to provide a synopsis of emerging trends, challenges, and recommendations for change. Apply data visualization techniques, such as dashboards, scorecards, and graphs, to create solutions that enable enhanced agency performance and decision making. Participate in the preparation and presentation of project briefings to communicate results and recommendations for operational improvements. Manage, input, extract and interpret data using Forest Service asset management software. Perform various routine administrative tasks and interface with multiple resource groups to maintain complete and accurate databases of asset portfolios in accordance with USDA directives. What qualifications do you look for? You might be the professional we're looking for if you have: Authorization to work in the U.S. permanently without sponsorship. A Bachelor's Degree with (2) years of relevant experience OR a Master's degree and (1) year of relevant experience OR (10) years of relevant experience, in lieu of an education credential (Relevant Experience is defined as work involving data analytics; data input, retrieval and visualization; programming and automation using Python, R, or similar; and/or applying statistical techniques and machine learning.). We are extra impressed by folks with: Familiarity with USDA Forest Service missions, data systems, and land management policies. Knowledge of federal data governance standards (e.g., FAIR data principles, OMB policies). What kind of benefits does Terrestris Offer? We offer outstanding benefits including 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. Terrestris is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. Applicants must be authorized to work in the U.S. DILBERT © 2018 Scott Adams. Used By permission of ANDREWS MCMEEL SYNDICATION. All rights reserved.

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. We're actively seeking a talented Senior Actuary to join our Fixed Annuity Valuation team in Newport Beach, CA, or Omaha NE. This role follows a hybrid schedule of four days in the office (on-site). If you are not currently located near one of our offices, you will be required to relocate. As a Senior Actuary, you will be working on Statutory, GAAP and Tax Valuation for the Fixed Annuity products, and will lead and support key valuation initiatives such as support regulatory changes implementation, new product development and valuation integration, model refinement, testing and validation, assumption impact analysis and oversight, reinsurance arrangement support, enhancement of quarter-end analysis and reporting, and process improvement and automation. How you will make an impact: Review quarterly and annual reserves and financial entries for Fixed Annuity products Lead validation of modeling enhancements and modifications, ensuring proper controls and processes aligned with MRM and ICFR guidance Direct the development of analytical tools to explain modeled results and drivers of movement Support quantitative analysis of model output and enhance reporting capabilities Lead implementation of regulatory changes Oversee assumption impact analysis and sign off the assumptions for Fixed products Provide support for Fixed reserve audit requests (e.g., Department of Insurance), and interface with auditors, state regulators, and examiners Support new product development and implementation Communicate and present financial results to management with clarity and appropriate depth; develop and recommend strategies to address issues and improve performance Collaborate with colleagues across departments and divisions; build strong relationships and provide actuarial expertise to internal stakeholders and corporate management Lead and develop a team of actuarial professionals by providing guidance, oversight, and mentorship Perform ad-hoc analysis and contribute to special projects as needed The experience you will bring: Bachelor's degree in Mathematics, Economics, Finance, Actuarial Science, Statistics, or related degree Fellow of the Society of Actuaries (FSA) with 7+years of experience Demonstrated initiative and ownership of responsibilities Strong problem-solving and communication skills What will make you stand out: Proficient in actuarial modeling software; experience with Poly Systems and Prophet is a plus working knowledge of fixed annuity valuation Ability to work independently and collaboratively as part of a team, and to manage long-term projects. You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $163,620.00 - $199,980.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources Analyze data sets to identify quality issues and implement effective cleansing strategies Create and document detailed data lineage, ensuring traceability between data fields and sources Build and maintain high-quality metadata to enable data discoverability, understanding, and governance Support data integration and migration efforts as part of the industrialization process Ensure data quality, integrity, and compliance with governance policies within assigned domains Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills Three years in data management, data engineering, data scientist or related roles Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration Experience with data security, privacy regulations, and data-driven decision-making Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports Collaborative team player with experience working across business and technical stakeholders Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills Experience with advanced data visualization platforms Experience in financial services or similar regulated industries Experience with data cataloging and data discoverability platforms

Vantaca just achieved unicorn status with a $1.25B valuation, so it's safe to say we're past the "scrappy startup phase." We're not just building a successful company - we're building the category-defining platform that will transform how an entire industry operates. Here's the reality of our trajectory: * Growing 100% year-over-year * Our AI product (HOAi) went from $0 to millions in months * Backed by Cove Hill Partners and JMI Private Equity * 6M+ doors on our platform, displacing legacy systems We are a winning team that believes in working together to make big ideas happen. We are a collaborative and visionary group that holds ourselves accountable for our results. Our ability to be nurturing and agile allows us to adapt to change and support each other through any challenges that come our way. We are customer-centric, meaning that we put our customers' needs and preferences at the heart of our work. We are authentic game changers that are building something cool and people like it here. Overview Vantaca is looking for a Senior Data Scientist that wants to work in a high impact, fast paced team that is ready to make a big impact. This individual will be responsible for helping build data products, uncover valuable business insights, and communicate key discoveries. Your work will drive better decision-making for products and customers. You will develop strong partnerships with stakeholders and work cross-functionally with product managements, engineering, finance, and business stakeholders to ensure alignment and success. Responsibilities * Lead advanced analytics initiatives to identify market opportunities, customer behaviors, and product optimization strategies. * Establish predictive modeling and machine learning capabilities that enhance product features and service delivery. * Help foster a culture of analytical rigor and continuous learning. Aid in the development of junior roles. * Develop real-time analytics and reporting capabilities that support operational decision-making across the organization. * Implement customer segmentation and personalization strategies that directly impact revenue and user engagement. * Create high impact learnings that drive the business forward * Ability to understand business needs and deliver on detailed analysis with insights and forward looking recommendations. Qualifications * Master's degree or PHD preferable with concentration in Computer Science, Data Science, Statistics, Applied Mathematics, or related analytical field. * 2+ years of data science work with demonstrated impact on product development and business outcomes * Proven track record of using data science to define, enhance, or create analysis in technology-driven organizations. * Proficiency in statistical analysis. * Proficiency in data visualization tools such as PowerBI. * Strong experience with data science tools and platforms including Python, R, and SQL. * Experience with cloud tools such as Azure (preferred), AWS, or GCP. * Demonstrated ability to translate complex analytical findings into actionable business recommendations and product strategies. * Strong background regression analysis, geospatial analysis, data visualization, and statistical inference methodologies. * Excellent communication and presentation skills with the ability to influence product and business strategy at executive levels. Core Values * Always Growing: Likes change and enjoys finding new ways to improve their knowledge and the product. Always ready to learn quickly, helping themselves and the team grow. * Win as a Team: Builds trust and works together by making sure everyone communicates well. Actively involved in daily work, working closely with the team, listening to their ideas, and celebrating successes together. * Accountability Starts with Me: Notices problems and takes personal action to solve them. * Unwavering Commitment to Customer Experience: Regularly talks to customers, taking personal responsibility to understand what they need, address concerns, and make their experience better with improved Vantaca processes. * Innovate Boldly: We challenge the status quo and push boundaries to create meaningful change. We act with urgency and purpose, knowing that innovation drives our success. Why You Should Join Our Team * Our eNPS is +68! (Google it, that is great). * Benefits: Medical, Dental, and Vision kick in day one. * Unlimited PTO (with a requirement for employees to take a minimum of one continuous week per year). * 401K with Company Match. * Remote Flexible - come to the office when needed. * Great parental leave benefits. * Named on Inc 5000 list of America's Fastest Growing Private Companies. * Named on Inc 5000 Vet 100 Private Companies list multiple years in a row. * Winner of Coastal Entrepreneur Award, Technology Category. * Active employee-led Culture Committee. * Ongoing industry and professional development trainings available to all employees. * Multiple leaders on the executive committee recognized as 40 under 40 recipients for contributions to business and community. * We're playing offense to win! Our product market fit and our world-class employees make us the leader in our space. We're building something cool and people like it here. We receive many resumes for our open positions and each one is reviewed by a human being on our recruiting team. We will compare your background with the qualifications and requirements for the position. If you are selected for an interview you will receive an e-mail from someone on our recruiting team with *************** email address. It may take some time for us to review all of the applications so give us some time to respond. We appreciate your interest in this role.

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

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 ********************

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities Review, prepare and/or certify client projects and ensure accurate client deliverables including: - Actuarial valuations and reports - Benefit statements - Plan documents, amendments, employee communications (SPDs, etc.) - Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) - IRS determination filings and PBGC (Form 500 series) termination submissions - ASC 715/960 - Perform and review combined plan non-discrimination testing Answer technical questions posed by staff Research the Internal Revenue Code and other technical resources to resolve client issues Provide technical training for staff Provide back up to other teams as necessary Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. Assist with other tasks and projects as assigned Supervision N/A Section 3: Experience, Skills, Knowledge Requirements Bachelor's degree in actuarial science, math or math related field Enrolled Actuary designation with 5 years industry experience Advanced understanding of: - Pension law - Plan documents and IRS favorable determination letters - Actuarial valuations and software systems Excellent technical/analytical skills Ability to research technical issues Ability to explain technical issues to all levels of associates Good verbal and written communication skills Demonstrated expertise with Microsoft Office, particularly Excel applications Demonstrated expertise with industry recognized pension valuation software Detail and accuracy oriented Good time management skills Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

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.