Data scientist jobs in Sioux Falls, SD

P&C Reinsurance Actuary opening in NY or MN. Perform reinsurance pricing for Property, Cyber, Auto Liability, General Liability, Umbrella, and/or Professional Liability lines. Ideal candidate is FCAS with 10-30 years of P&C actuarial experience, including reinsurance pricing; knowledge of Python, R, or SQL a plus; strong interpersonal and communication skills required. (PR12975)

Title: Sr. Data Engineer Duration: 6-Month Contract/Right to Hire Responsibilities Ability to trace data lineage and diagnose data quality issues at the source Strong problem-solving skills and ability to work independently Qualifications 5+ years hands-on experience with enterprise data warehouses and ETL/ELT pipelines Strong Databricks experience required Expert-level SQL skills; Python scripting experience preferred Experience optimizing data feeds, scheduling, and pipeline timing Experience consolidating data sources and deprecating legacy feeds Retail or grocery industry experience required (understanding of POS data, item costing, merchant data) Cloud platform experience (Azure or GCP) The projected hourly rate for this position is $75-100/hr. On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.

Akkodis is searching for a Senior Data Engineer who has extensive experience with Databricks, Python, and PySpark. Any Data Engineer who has experience working with SAP data would be a tremendous fit for this client! If you are looking for an opportunity to Pay/Salary Range: 60.00/HR to $85.00/HR; The rate may be negotiable based on experience, education, geographic location, and other factors. What You'll Do: Experience with cloud-based technologies like Databricks, Snowflake and Palantir. Deep experience (5+ years) in writing and debugging complex SQL on RDBMS platforms like Snowflake, SQL Server, and Oracle. Experience working within an SAP Data environment Proficient in Python and PySpark for data processing and transformation. Experience with DevOps frameworks and source control. Proficient in using ETL tools like Informatica IICS, Talend, Data Services, and SSIS. If you are interested in this position, then please click APPLY NOW. For other opportunities available at Akkodis go to **************** Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Insight Global is seeking a talented Azure Data Engineer to join one of our large utility clients on-site in Eagan, Minnesota. Please find more details below, we look forward to connecting with you! **This client works closely with the US Government, so candidates need to eligible to receive a Secret Clearance or higher. Title: Azure Data Engineer Client: Utilities Administration Company Location: Eagan, MN Schedule: Hybrid onsite - 4 days per week (Monday - Thursday) Skills Needed: Ideally, 5+ years of prior Data Engineering experience Expertise in Azure Cloud*** (experience with Azure Monitor is a plus) Experience with the following: Azure Data Factory, Azure Synapse, PySpark, Python and SQL Bachelor's Degree (or higher) in a related STEM discipline Willingness to work in-office 4 days per week in Eagan, MN Compensation: $60/hour to $75/hour. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Job Title: Lead Snowflake Data Engineer Employment Type: 6-month Contract-to-Hire Work Arrangement: On-site (4 days/week) Eligibility: U.S. Citizen or Green Card holders only Experience Level: 7+ years Role Overview We are seeking a Lead Snowflake Data Engineer to design, build, and optimize modern cloud-based data platforms. This role requires deep hands-on expertise with Snowflake, strong SQL skills, cloud data engineering experience, and the ability to lead and mentor a team of data engineers. Required Qualifications 7+ years of experience in data engineering or related roles 5-10 years of hands-on experience with Snowflake Strong proficiency in SQL, including complex query development and stored procedures Experience with automation and scripting (e.g., Python, Shell, or similar) Hands-on experience with data ingestion and transformation frameworks Strong understanding of Snowflake architecture, including storage, compute, security, and infrastructure Proven experience with Snowflake troubleshooting and performance tuning Experience with cloud platforms such as AWS and/or Azure Solid understanding of Cloud Data Lakehouse architectural patterns Experience leading, mentoring, and providing technical direction to data engineering teams Proven ability to work closely with business partners to develop and manage data domains Preferred / Additional Skills Experience in one or more of the following areas is highly desirable: Programming languages (e.g., Python, Java, Scala) Relational and non-relational databases ETL / ELT tools and frameworks Data storage solutions (on-premises and cloud-based) Big data technologies Machine learning or advanced analytics Data modeling and data visualization tools Cloud computing and data security best practices

Locals Only! In-Person Interview Required! Data Engineer Des Moines, IA (Hybrid, 3 days in office): Locals Only! 6 + Months Locals Only! Tools/Technologies: Python, AWS, Snowflake, SQL, GitHub (Informatica occasionally) Role Overview: The candidate will work closely with product managers and analytics consultants to design and implement ETL pipelines, transforming source data into curated data products for analysts. Work involves independent tasks and team collaboration, primarily using Python, AWS, and Snowflake. Responsibilities: Develop ETL pipelines and data solutions Collaborate with analysts and team members to explore AWS services Handle backend data work; not focused on dashboards or modeling Partner with multiple departments to integrate enterprise data Qualifications: Preferred: Python, AWS, GitHub Nice-to-have: Snowflake, API data extraction, Erwin, data modeling 8+ years of development experience Desired Skills and Experience Locals Only! In-Person Interview Required! Data Engineer Des Moines, IA (Hybrid, 3 days in office) 6 + Months Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Are you an experienced Data Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Engineer to work at their company in Bloomington, MN. Primary Responsibilities/Accountabilities: Develop and maintain scalable ETL/ELT pipelines using Databricks and Airflow. Build and optimize Python-based data workflows and SQL queries for large datasets. Ensure data quality, reliability, and high performance across pipelines. Collaborate with cross-functional teams to support analytics and reporting requirements. Monitor, troubleshoot, and improve production data workflows. Qualifications: Strong hands-on experience with Databricks, Python, SQL, and Apache Airflow. 6-10+ years of experience in Data Engineering. Experience with cloud platforms (Azure/AWS/GCP) and big data ecosystems. Solid understanding of data warehousing, data modelling, and distributed data processing.

**Collaborate with Innovative 3Mers Around the World** Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies, and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government, or military experience to a 3M career. **The Impact You'll Make in this Role** As a Machine Learning/Vision Specialist - Process Data Scientist, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: + Integrating diverse data sources into a cohesive analysis framework using industry best practices and documentation. + Driving advanced model adoption through rigorous understanding of the state-of-the-art data science methodologies. + Collaborating with the Corporate Research Process Lab to develop and implement advanced algorithms for new process development of films, adhesives, nonwovens, and other high-value articles. + Designing and integrating advanced data analytics schemes which may include predictive modeling, nonlinear analysis, sensor data integration, and machine vision techniques. + Driving successful technology scale-up from laboratory to manufacturing and assisting with troubleshooting process and product quality issues. + Effectively documenting, communicating, and disseminating research results through the framework of 3M's new technology and product introduction programs. + Providing data science and machine vision expertise to support manufacturing operations and transfer technology to 3M's technical community through consulting and teaching. **Your Skills and Expertise** To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: + Bachelor's degree or higher in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or Machine Learning/AI (completed and verified prior to start) from an accredited university. Additional qualifications that could help you succeed even further in this role include: + A Master's or Ph.D. degree with demonstrated expertise in machine learning, data science, and machine vision. + Strong understanding of data science techniques and theory, including machine vision. Ability to integrate diverse data sources into a cohesive analysis framework using industry best practices and documentation. + Over 3 years of experience in machine learning, data science, and machine vision in a private, public, government, or military environment. + Evidence of strong, hands-on skills with industrial data analysis including experience with data integration, programming, machine learning models, and machine vision systems. + Experience with a wide range of programming languages including Python and C++. + Skills relating to the following: machine learning model development, machine vision systems, open source software development, Linux, GitHub, cloud computing. + Excellent interpersonal skills and the ability to excel in cross-functional environments. **Work location:** + **On site in Woodbury, MN** **Travel: May include up to 10% domestic** **Relocation Assistance: May be authorized** **Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).** **Supporting Your Well-being** 3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. **Chat with Max** For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: **************************************************************** Good Faith Posting Date Range 11/14/2025 To 12/14/2025 Or until filled All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M. Learn more about 3M's creative solutions to the world's problems at ********** or on Instagram, Facebook, and LinkedIn @3M. Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement. Pay & Benefits Overview: https://**********/3M/en\_US/careers-us/working-at-3m/benefits/ 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. **Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.** **3M Global Terms of Use and Privacy Statement** Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here (************************************************************************************************* , select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms. At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at ********** or on Twitter @3M or @3MNews. 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

* Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. * Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. * Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. * Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. * Deploy models using Azure, ensuring scalability and governance with MLOps best practices. * Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. * Collaborate with engineering teams for productionization and monitoring of models. * Drive continuous improvement through metrics-driven insights and iterative refinements Salary Range: $110,000 $140,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

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 DescriptionDescription: /JOB TITLE: Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally authorized to be employed in the United States on a full-time basis for any position. Omnitech will not provide sponsorship for employment visa status (e.g., H-1B or TN status) for this position.*** *** On-site position, NO remote. **** Do you have a data-driven, engineering mind and a consulting-type personality? Omnitech is an established, locally owned software engineering firm specializing in helping businesses create and fulfill opportunities through custom technology solutions. We are a Microsoft Partner that values a community of mentors to cultivate skills and interests that align with our clients' needs. We understand that the journey to the solution can be just as important as the destination - for clients and our engineers. As a Data Engineer at Omnitech, you would qualify for multiple labels including business intelligence consultant, data warehouse consultant, data acquisition (ETL/ELT) consultant, database administrator consultant, data analyst, data architect, data scientist to name a few. We don't believe in narrowly defined labels and hierarchy. We believe in helping people solve problems. DESIRED SKILLS: (The applicable candidate must possess a number of the following.) Strong T-SQL skills SQL Server design and development experience Understanding of data profiling techniques Understanding of performance optimization, data warehousing Understanding of common data extraction techniques across a diverse set of sources including structured and non-structured data Experience with data cleansing and conforming techniques using ETL/ELT processes Develop standards and best practices to ensure data standardization and consistency as required Strong experience with dimensional modeling, star schema and Kimball Data Warehouse methodologies Design and develop data warehousing solutions for clients across a variety of industries and business sizes utilizing Microsoft's SQL Server Platform Perform the role of subject matter expert for Microsoft Business Intelligence technologies including Power BI and Microsoft Fabric Knowledge of Semantic models and Data Analysis Expressions (DAX) Experience with Big Data technology (e.g. Spark, Parquet) a plus Familiarity with storage technologies (e.g. SAN, NAS, etc.) a plus Translate business requirements and technical designs into well-developed solutions that meet client business goals Ability to explain the pros and cons of architectural decisions Evaluate and recommend new technologies as required Design and implement technology best practices, guidelines and repeatable processes Provide technical assistance and cross training to other team members and clients Participate in the business intelligence community to promote the use of the Microsoft BI platform and general data warehousing best practices Assist in pre-sales, scoping and requirements gathering process Ability to work closely with other project team members such as sales analysts, project managers, and software engineers REQUIREMENTS: 3 years Data experience A Bachelor's Degree in computer science, with emphasis in mathematics, or a similar analytical degree T-SQL, SQL Server, ETL/ELT, Cloud Data Platforms Desire for continuous learning and to pursue professional certifications Proven ability to consult and mentor others BENEFITS AND PERKS: Competitive salary with annual reviews Paid Time Off and Paid Holidays Insurance options include Health, Vision, and Supplemental Options Employer-paid Dental, Short-Term and Long-Term Disability Safe Harbor 401(k) with company match Dependent Care Flex Accounts Employee Assistance Program (EAP) Food, snacks, drinks Tuition reimbursement PERSONAL CHARACTERISTICS: Excellent communication, presentation, and interpersonal skills, confident with customers Detail-oriented, well-organized, and excellent ability to multi-task Energetic, comfortable working in a fast-paced environment Hard-working and motivated, able to take initiative and meet deadlines Comfortable working in a team-based environment A hands-on attitude in a friendly work environment. If you excel in a team centric learning environment and you're passionate about technology, please apply. **Omnitech participates in E-Verify and will provide the federal government with Form I-9 information to confirm work authorization. **Omnitech is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Requirements:

/JOB TITLE: Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally authorized to be employed in the United States on a full-time basis for any position. Omnitech will not provide sponsorship for employment visa status (e.g., H-1B or TN status) for this position.*** *** On-site position, NO remote. **** Do you have a data-driven, engineering mind and a consulting-type personality? Omnitech is an established, locally owned software engineering firm specializing in helping businesses create and fulfill opportunities through custom technology solutions. We are a Microsoft Partner that values a community of mentors to cultivate skills and interests that align with our clients' needs. We understand that the journey to the solution can be just as important as the destination - for clients and our engineers. As a Data Engineer at Omnitech, you would qualify for multiple labels including business intelligence consultant, data warehouse consultant, data acquisition (ETL/ELT) consultant, database administrator consultant, data analyst, data architect, data scientist to name a few. We don't believe in narrowly defined labels and hierarchy. We believe in helping people solve problems. DESIRED SKILLS: (The applicable candidate must possess a number of the following.) Strong T-SQL skills SQL Server design and development experience Understanding of data profiling techniques Understanding of performance optimization, data warehousing Understanding of common data extraction techniques across a diverse set of sources including structured and non-structured data Experience with data cleansing and conforming techniques using ETL/ELT processes Develop standards and best practices to ensure data standardization and consistency as required Strong experience with dimensional modeling, star schema and Kimball Data Warehouse methodologies Design and develop data warehousing solutions for clients across a variety of industries and business sizes utilizing Microsoft's SQL Server Platform Perform the role of subject matter expert for Microsoft Business Intelligence technologies including Power BI and Microsoft Fabric Knowledge of Semantic models and Data Analysis Expressions (DAX) Experience with Big Data technology (e.g. Spark, Parquet) a plus Familiarity with storage technologies (e.g. SAN, NAS, etc.) a plus Translate business requirements and technical designs into well-developed solutions that meet client business goals Ability to explain the pros and cons of architectural decisions Evaluate and recommend new technologies as required Design and implement technology best practices, guidelines and repeatable processes Provide technical assistance and cross training to other team members and clients Participate in the business intelligence community to promote the use of the Microsoft BI platform and general data warehousing best practices Assist in pre-sales, scoping and requirements gathering process Ability to work closely with other project team members such as sales analysts, project managers, and software engineers REQUIREMENTS: 3 years Data experience A Bachelor's Degree in computer science, with emphasis in mathematics, or a similar analytical degree T-SQL, SQL Server, ETL/ELT, Cloud Data Platforms Desire for continuous learning and to pursue professional certifications Proven ability to consult and mentor others BENEFITS AND PERKS: Competitive salary with annual reviews Paid Time Off and Paid Holidays Insurance options include Health, Vision, and Supplemental Options Employer-paid Dental, Short-Term and Long-Term Disability Safe Harbor 401(k) with company match Dependent Care Flex Accounts Employee Assistance Program (EAP) Food, snacks, drinks Tuition reimbursement PERSONAL CHARACTERISTICS: Excellent communication, presentation, and interpersonal skills, confident with customers Detail-oriented, well-organized, and excellent ability to multi-task Energetic, comfortable working in a fast-paced environment Hard-working and motivated, able to take initiative and meet deadlines Comfortable working in a team-based environment A hands-on attitude in a friendly work environment. If you excel in a team centric learning environment and you're passionate about technology, please apply. **Omnitech participates in E-Verify and will provide the federal government with Form I-9 information to confirm work authorization. **Omnitech is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

At Henkel, you'll be part of an organization that's shaping the future through innovation, sustainability and collaboration. With our trusted brands like Persil , ‘all , Loctite , Snuggle , and Schwarzkopf and our cutting-edge technologies, you'll have countless opportunities to explore new paths and grow. This position is with our Adhesive Technologies business unit - where we empower our people to transform industries and provide our customers with a competitive advantage through adhesives, sealants and functional coatings. Dare to learn new skills, advance in your career and make an impact at Henkel. What you´ll do This position is responsible for the implementation of project work to enhance Manufacturing Execution Systems (MES) and applications. The Data Analysis Engineer is responsible for trouble shooting complex systems-based issues in a fast-paced manufacturing environment. As the Manufacturing Engineering Team works on process improvement projects, the Data Analysis Engineer will play an active and critical role by providing data and insights to help achieve the greatest positive impact. Leverage data and technology to improve organizational efficiency Identify improvement opportunities through analysis of factory operational data Responsible for analyzing and summarizing existing process needs, establishing future data models, and working cooperatively with external resources to develop data informed solutions Identify and implement solutions for short- and long-term systems issues through solid root cause analysis Identify opportunities for digitization and / or automation Acts as a subject matter expert for the discernment of systems and automation project feasibility Responsible for the execution of MES project deployment Acts as the local factory's primary contact with Henkel IT and third part resources Develops and conducts training to all levels of MES users Works closely and collaboratively with factory engineers to support daily operations and improvement projects Ensures the security of operational systems and data What makes you a good fit Collects and analyzes data; able to use statistical tools to validate data findings Responds well to questions; able to clearly articulate thinking; can present in front of a team Able to create documents, e.g. project summaries, process instructions, training materials, etc., that are clear and effective Ability to work with teams and work through conflict in a professional manner Proficient with Microsoft products, e.g., Excel, Power BI, etc. Can demonstrate Problem Solving and Project Management skillset Experience in manufacturing environments Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teams, at all levels Ability to plan, manage, and execute complex project activities to a successful conclusion while demonstrating a strong work ethic experience Bachelor's Degree in: Computer Information Systems, Computer Science, Business Technology, or similar Experience with SAP, MES/DCS/PLC or SCADA systems VBA and/or Python coding knowledge (VBA preferred) Some benefits of joining Henkel Health Insurance: affordable plans for medical, dental, vision and wellbeing starting on day 1 Work-Life Balance: Paid time off including sick, vacation, holiday and volunteer time, and vacation buy / sell program Financial: 401k matching, employee share plan with voluntary investment and Henkel matching shares, annual performance bonus, service awards and student loan reimbursement Family Support: 12-week gender neutral parental leave (up to 20 weeks for parents giving birth), fertility support, adoption & surrogacy reimbursement, discounted child and elderly care, and scholarships Career Growth: diverse national and international growth opportunities, access to thousands of skills development courses, and tuition reimbursement The salary for this role is $70,000.00 - $93,000.00. This is the range that we in good faith anticipate relying on when setting wages for this position. We may ultimately pay more or less than the posted range and this range. This salary range may also be modified in the future. Henkel does not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered Henkel property and therefore, Henkel will not pay a fee for any placement resulting from the receipt of an unsolicited referral. Henkel is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. JOB ID: 25085364 Job Locations: United States, SD, Brandon, SD Contact information for application-related questions: ***************************** Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted. Application Deadline: As long as the vacancy is listed on our Career Site, we are happy to receive your application Job-Center: If you have an application already, you can create or log in to your account here to check the status of your application. In case of new account creation, please use your email address that you applied with. Activate external content When clicking the button below external content will be loaded which involves transfer of personal data (e.g. IP address) to external servers. This may involve that cookies are set by the external content provider. Please see Data Protection Statement for further information. Accept for all YouTube content ACCEPT AND PLAY Deactivate loading external content from YouTube. How is work at Henkel About Henkel Building on a strong legacy of almost 150 years, we are leading the way to reimagine and improve life every day. Today and for generations to come. Through our innovative and sustainable brands and technologies, across our teams around the world. Henkel holds leading positions in both industrial and consumer businesses: Our portfolio includes well-known hair care products, laundry detergents, fabric softeners as well as adhesives, sealants, and functional coatings.

We are looking for a skilled Data Modeler to create and optimize Medicaid-related data models and structures as part of South Dakota Medicaid Modernization in Sioux Falls, SD. This role will involve developing data catalogs, lineage, and warehouse structures. Essential Duties and Responsibilities * Design and develop conceptual, logical, and physical data models. * Create Medicaid-related data warehouse structures and ensure scalability. * Build and maintain a data catalog and data lineage documentation. * Provide recommendations to improve data structures and processes. Knowledge, Skills and Abilities * Proficiency with tools like ERwin or ER/Studio. * Strong understanding of database design best practices. Education & Experience * Bachelor's degree in Computer Science, Information Technology, or related field. * 5+ years of experience in data modeling or warehousing. * Experience with relational SQL and NoSQL database technologies

Key Responsibilities Design, build, and maintain scalable data pipelines for ingesting, cleaning, and transforming provider data. Develop and optimize workflows in Databricks for large-scale data processing. Implement and manage data storage solutions using the Microsoft Azure suite, including Azure Data Lake, Blob Storage, and Azure SQL. Collaborate with API developers and data consumers to ensure seamless API data consumption. Work closely with data scientists, analysts, and product owners to ensure data quality, consistency, and availability. Contribute to the evolution of our data lake and warehouse architecture to support current and future analytics needs. Required Qualifications Hands-on experience with Databricks and Apache Spark. Proficient in SQL, Python, PySpark, Git Strong proficiency with Microsoft Azure cloud services, especially in data storage and compute. Proven experience with data lakes and/or data warehouses. Solid understanding of REST APIs and experience consuming them in data workflows. Experience with data ingestion, ETL/ELT pipelines, and data cleaning techniques. Preferred Qualifications Hands-On Experience with PowerBI Experience building or maintaining GraphQL APIs. Experience designing and developing REST APIs. Familiarity with AI/ML integration in data pipelines or analytics workflows. Knowledge of healthcare data standards and provider data models is a plus. The projected hourly range for this position is $65.00 to $85.00 On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.

Akkodis is seeking a Sr. Data Engineer for Direct Hire/ Full Time position with our Direct Client located in Elkhorn, NE (Hybrid). Pay Range: $115k- $135k/Annum; The rate may be negotiable based on experience, education, geographic location, and other factors. Job Description: The primary responsibilities of a Data Engineer are to focus on building our data lake using Databricks, Synapse Analytics and Azure Data Factory in the Azure ecosystem. In this role you will work with a team of developers, data product owners, scrum masters, business analysts and business customers in an agile environment. You will participate in the entire software development lifecycle, including: working with various departments on requirements gathering, translating business requirements into detailed system and technical requirements, functional and technical design, development, testing, deployment, and support. You will contribute to all data management aspects, including data governance, data quality management, master data management, enterprise data integration by analyzing raw data, writing data pipelines in Azure Data Factory, SQL, Python, and Spark, and solving data issues as they arise during development and after deployment. Must have skillset is Azure Databricks, Azure Data Factory, Python, PySpark The Data Engineer is expected to: Design, develop and implement scalable batch/real-time data pipelines to integrate data from a variety of sources into an Azure data warehouse and data lake Partner with analytics and actuarial team to understand the current use cases and supply clean and consistent data models Build consistent data models that act as the source of truth for all metrics within the company Identify data needs & build comprehensive business intelligence solutions to help the team make faster & better decisions, backed by data Handle ad hoc data and analytics requests, while addressing long-term stakeholder needs and driving insights for the executive leadership team Proactively manage stakeholder expectations, monitor and manage data integrity, and resolve data issues Create and maintain technical documentation. Guide and deliver meaningful and thorough code reviews. Design, code, test, document, and troubleshoot deliverables Maintain awareness of and ensure adherence to the standards regarding security and privacy. Ability to perform Data Analysis and Data Quality tests and create audits for the ETLs. Perform Continuous Integration and deployment using Azure DevOps and git Must be a very good communicator and should be analytically sound Create and maintain optimal data pipeline/flow architecture. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications Education: Bachelor's degree or equivalent work experience required. Experience: 3+ Years similar work experience Knowledge Requirements: Experience/familiarity with tools like Azure Databricks, Azure Synapse Analytics and Azure Data Factory, Delta Lake, Parquet, and Spark SQL Experience with Data Lakes, Data Warehouse Concepts, and Dimensional Data Models. Experience with Tableau, Power BI, Qlik or similar as visualization tool development Experience building and maintaining production data pipelines, ETL, or databases Good written and verbal communication skills Experience in SQL - Python, Powershell and Spark helpful but not necessary Experience working with Microsoft BI stack (SSIS/SSRS/SSAS) and Microsoft SQL Server. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Ayush Garg at ************ or ***************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records.

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $161,400.00 - $266,300.00 Target Openings 1 What Is the Opportunity? As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. What Will You Do? * Lead business or technical projects focused on the design or development of analytical solutions. * Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. * Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. * Begin to challenge conventional thinking where appropriate. * Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. * Guide technical strategy of teams through own technical expertise. * Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. * Communicate analysis, insights, and results to team, peers, business partners. * Partner with cross-functional teams and leaders to support the successful execution of data science strategies. * Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. * Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. * Perform other duties as assigned. What Will Our Ideal Candidate Have? * Subject matter expertise in modeling/ research/ analytics or actuarial required * Subject matter expertise in value creation and business model concepts * Subject matter expertise in multiple statistical software programs * Ability to develop highly complex models, interpret model results and recommend adjustments * Expertise in advanced statistics underlying data models * Ability to apply emerging statistical procedures to complex work * Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? * Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. * Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? * Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. * Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. * Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. * Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. * Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************