Data scientist jobs in Rockford, IL - 935 jobs

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as Data Scientist. Join us as a Data Scientist and play a key role in shaping how patients access care across a growing network of brands including Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. In this role, you won't just analyze data - you'll lead end-to-end initiatives that shape how we optimize revenue across offices, days, and even hours. From designing strategies, deploying solutions and building performance dashboards to partnering with data science on automation and collaborating with teams across Finance, Marketing, Product, Technology and Operations, you'll have a direct hand in driving measurable results. This role is ideal for someone who excels at turning data into decisions, building repeatable processes, and uncovering insights that drive measurable improvements in revenue performance and patient access. You will lead initiatives across forecasting, scheduling optimization, demand modeling, capacity planning, and revenue strategy, while also shaping how analytics is delivered and scaled across the organization. If you're a builder who loves solving complex problems with data, operational logic, and automation, this opportunity is for you. Essential Responsibilities: Revenue Strategy & Optimization Lead strategy development for optimizing revenue performance at the office, day, and hour level by leveraging forecasting, scheduling, and demand modeling - while balancing access for patients and operational efficiency. Build analytical frameworks to support pricing, demand forecasting, scheduling, and access optimization. Identify revenue opportunities through data-driven analysis of booking trends, cancellations, no-shows, and utilization. Monitor and update demand and schedule availability through the analysis of historical and future booking trends, the pricing environment, industry capacity trends, competitive landscape, and other factors. Analytics, Insights & Experimentation Develop and maintain forecasting, demand models, dashboards, and scenario analyses. Run experiments and structured tests to evaluate new operational and scheduling strategies. Create clear, actionable insights that influence senior leaders and cross-functional partners. Process Building & Automation Map existing manual workflows and identify opportunities to automate recurring analyses or reporting. Cross-Functional Leadership Work closely with Operations, Finance, Product, Marketing, and Clinical teams to align strategies and execution. Help shape and scale the function by building new playbooks, reports, and best practices. Act as a subject matter expert in forecasting, demand modeling, and capacity optimization. Qualifications (Skills-Based): We welcome candidates with diverse academic and career pathways. You may have gained your skills through industry experience, coursework, certificates, or hands-on practice. Experience/Education: 5+ years of experience in Revenue Management, Pricing, Operations Research, Supply/Demand Optimization (Airline, Travel, Healthcare, or multi-location service industries preferred). Bachelor's degree in Business, Finance, Economics, Analytics, or Statistics required; Master's degree a plus. Experience working alongside data science/engineering teams to automate and scale analytics processes. Exceptional analytical, problem-solving, and communication skills - with the ability to influence senior stakeholders. Detail-oriented, self-starter mindset with a passion for driving results. Strong analytical and quantitative skills, with experience in forecasting, modeling, or optimization. Strong technical proficiency in SQL and a modern BI platform (e.g., Tableau, Looker). Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) - not required, but helpful. Additional Job Description: Base Pay Range: $120,000 - $140,000, plus 10% annual bonus (Actual pay may vary based on experience, performance, and qualifications.) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: *********************************************************************************

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities: Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes. Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP. Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development. Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation. Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting. Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.). Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices. Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing. Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions. Required Qualifications: 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments. Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spa Cy, and/or Hugging Face. Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures. Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems. Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases. Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale. Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment. Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively. Preferred Qualifications: Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies. Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD). Certifications related to Epic, FHIR, or other health IT platforms are a plus. Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation. Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery. Benefits & Compensation: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

A leading consulting firm is seeking a Solution Architect who specializes in Azure data and analytics services. The ideal candidate should have over 10 years of experience, with a deep understanding of cloud-native solutions on Azure. This role includes engaging with senior leadership, leading technical assessments, and presenting solutions to clients. The position offers competitive compensation between $180,000 - $220,000 annually. #J-18808-Ljbffr

A diversified trading firm is seeking a Data Engineer in Chicago to develop and maintain data infrastructures crucial for trading operations. This role involves working closely with cross-functional teams and requires at least 2 years of experience in programming languages like Python, Java, or C++. The ideal candidate will have a strong background in financial markets and experience with data systems. Comprehensive benefits and a competitive salary range of $175,000 - $225,000 plus bonus are offered. #J-18808-Ljbffr

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary This actuarial leader is responsible for overseeing the development, validation, and delivery of key medical cost assumptions used in annual pricing and bid development for Individual Medicare Advantage. This role ensures all assumption models are completed accurately and delivered on time to the actuarial pricing team. The leader will collaborate closely with cross‑functional partners to confirm data integrity, review adjustments, and validate projection reasonability. In addition, the leader will ensure all medical cost assumptions are CMS compliant and account for regulatory changes. Operating with a high degree of autonomy, the individual will manage and coordinate work across a team of supporting actuaries, ensuring alignment, quality, and timely execution. Strong communication skills are essential, as this role regularly presents results, insights, and recommendations to actuarial and business leadership. Required Qualifications Bachelor's degree along with 5+ years of actuarial experience Associate of the Society of Actuaries (ASA) Member of the American Academy of Actuaries (MAAA) Healthcare background Proficient in MS Excel Experience with SAS and SQL is desired Strong communication skills Preferred Qualifications Experience with Medicare Advantage products Fellow of the Society of Actuaries Education Bachelor's degree Pay Range The typical pay range for this role is: $118,450.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/27/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

A global leader in consulting is looking for an experienced professional to develop business intelligence and data warehouse opportunities. The role requires guiding C-level executives in data architecture decisions, and a deep understanding of best practices in data management. Candidates must have at least 15 years of IT experience, including extensive knowledge of data quality and cloud solutions. Flexibility to work across diverse environments, including Agile, is essential. This position is based in Chicago, Illinois. #J-18808-Ljbffr

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for. We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration - because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued. Analyze and evaluate the likelihood of future events in order to reduce and manage future risks. Complete and interpret actuarial analysis, valuations, cost estimates, and modeling using statistical programming and database tools. Perform rate level pricing functions and prepare monitoring reports on program or product pricing Measure historical relationships to develop forecasts and identify trends. Performs other duties as assigned. Key Accountabilities Actuarial Analysis & Modeling Conduct advanced actuarial analysis, valuations, cost estimates, and forecasting using statistical programming tools and complex datasets Develop, maintain, and enhance actuarial models to support pricing strategies, financial projections, risk assessments, and trend identification Evaluate historical experience to determine key drivers of performance and produce credible, datadriven forecasts Pricing & Financial Support Perform advanced ratelevel pricing functions and support the development of premium recommendations across products or programs Prepare and interpret monitoring reports that assess pricing adequacy, utilization patterns, and cost trends Provide analytical support for financial planning, budgeting, and other strategic initiatives Thought Leadership & Technical Guidance Serve as a subject matter expert to peers and crossfunctional partners, offering guidance on actuarial methods, modeling techniques, and best practices Lead components of complex projects with autonomy, including providing direction to junior staff to achieve unit and department goals Develop and recommend enhanced approaches, methodologies, or tools to improve accuracy, efficiency, or process reliability CrossFunctional Collaboration & Communication Translate complex actuarial findings into clear, actionable insights for business partners, including Finance, Product, Network, and Executive teams Present analytic conclusions and recommendations to leadership, influencing decisions related to pricing, risk mitigation, and product strategy Collaborate with stakeholders to ensure alignment on assumptions, methodologies, and financial implications Compliance, Standards & Quality Assurance Ensure all actuarial work complies with applicable regulatory requirements, Actuarial Standards of Practice (ASOPs), and internal governance expectations Maintain thorough documentation of assumptions, methods, and outcomes for audit readiness and organizational transparency Uphold high standards of accuracy and professional integrity to minimize risk exposure and ensure credible outcomes Required Qualifications Bachelor's degree or equivalent experience in related field 7 years of work experience beyond degree Required Certifications/Licensure FSA Achieved OR demonstrated performance over multiple years under the supervision of a qualified actuary Skills and Abilities Technical Expertise Advanced proficiency in actuarial science, including modeling, forecasting, pricing, and statistical analysis Strong working knowledge of actuarial software and data tools (e.g., Excel, SQL, SAS, R, Python) and ability to work with large, complex datasets Demonstrated ability to design and refine actuarial models with minimal supervision Analytical & ProblemSolving Skills Ability to independently diagnose analytical issues, validate assumptions, and identify meaningful trends in data Skill in developing innovative, datadriven solutions to address emerging business needs Strong judgment in selecting appropriate techniques and methodologies Communication & Influence Ability to translate complex concepts into clear, concise messages tailored to nontechnical stakeholders Effective presenter with experience communicating findings to leadership, project teams, and crossfunctional partners Strong interpersonal skills and ability to influence outcomes through credible, evidencebased recommendations Leadership & Collaboration Demonstrated ability to mentor, coach, and develop less experienced analysts Skilled at leading components of complex projects with autonomy and accountability Collaborative approach with the ability to build strong relationships across departments This position is an Office role, which requires an employee to work onsite, on average, 3 days per week. We are open to candidates located near one of the following office locations: Minnetonka, MN, or Madison, WI. The full salary grade for this position is $100,300 - $172,000. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $100,300 - $150,465. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to base compensation, this position may be eligible for incentive plan compensation in addition to base salary. Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees. The compensation and benefits information is provided as of the date of this posting. Medica's compensation and benefits are subject to change at any time, with or without notice, subject to applicable law. Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States. We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description Actuary - Reserving Reporting to the Head of Reserving - Casualty, the Actuary - Reserving will be responsible for supporting reserve reviews and related activities, including communication to stakeholders, ad-hoc projects and process improvement efforts. Accountabilities Perform reserve reviews under the direction of the Head of Reserving - Casualty and prepare related reports, summaries, and ad-hoc analyses/views of results. Interact with various stakeholders including finance, claims, underwriting and pricing departments to determine holistic views of reserves. Assist in the preparation of the year-end reporting, including Actuarial Opinions, Actuarial Reports, and other GAAP and statutory regulatory reporting. Evaluate current approaches and propose improvements to all stages from data collection to final reporting, with the goal of automating and increasing the efficiency of the reserving department. Assist in the development and training of other Reserving staff. Qualifications Bachelor's degree in actuarial science, mathematics, or related field of study. 5+ exams of the Casualty Actuarial Society pursuing credentials. 5+ years of property/casualty experience, preferable with commercial lines. Strong communication skills with the ability to convey technical concepts to non-technical audiences including executive management. Ability to execute and lead concurrent projects. Ability to work independently, but understand place within a team environment, and collaborate appropriately to achieve the best product. Detail-oriented and able to quickly evaluate the accuracy of information. Proficient in Microsoft Office products. Demonstrated experience with various data software such as SQL, R, Python, or VBA Experience with ResQ preferred. The salary range for the Actuary - Reserving role provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package. Chicago: $125,500 - $149,200 NYC: $136,900 - $163,000 While this role is ideally suited for candidates with 5+ years of actuarial reserving experience, we will also consider early-career actuaries (Actuary Analyst - Reserving) with strong technical skills and demonstrated exam progress. Responsibilities and compensation will be commensurate with experience. PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at . Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

A leading pediatric healthcare provider in Chicago seeks a Data Architect I to design and manage ETL jobs and custom data applications. This Role involves integrating data from various repositories in a hybrid data environment and supporting analytics systems. Candidates should have a Bachelor's degree in a relevant field, coding experience, and familiarity with SQL Server Stack. Competitive compensation includes a comprehensive benefits package, reflecting the commitment to employee wellbeing. #J-18808-Ljbffr

A leading health solutions company in Chicago is seeking an experienced actuarial leader responsible for overseeing the development and validation of medical cost assumptions for Medicare Advantage. This position requires a Bachelor's degree and over 5 years of actuarial experience. Ideal candidates should possess strong communication skills and experience with healthcare, SAS, and SQL. The role offers a competitive salary range from $118,450 to $260,590 along with comprehensive benefits including medical plans, a 401(k) plan, and further incentives. #J-18808-Ljbffr

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of either Bloomington, IL; Mankato, MN; or Lakeville, MN office locations. The contributions you will make: This position is responsible for building analytics tools that utilize the data pipeline to provide actionable insights for decision making. The incumbent operationalizes and maintains machine learning models developed by data scientists/quantitative analysts within the organization to ensure that the machine learning models or data analytics work product developed by data scientists are efficiently transitioned into robust, scalable and maintainable production systems. A typical day: Data Engineering Develops data models, data pipelines and streamlines the deployment of models into production environments that could include machine learning. Supports the design and implementation of Power BI (PBI) dashboards and semantic models, enabling intuitive visualization of advanced analytics Builds and maintains pipelines for data analytics projects that include machine learning, enabling seamless integration and delivery of model updates. Monitors the performance and accuracy of projects in production and performs regular maintenance to ensure they continue to meet business needs. Works closely with quantitative analysts to understand their models' requirements and provides the necessary infrastructure and tooling for model/data analysis training and experimentation. Optimizes performance of SQL queries, predictive models and data pipelines across both on-prem and cloud environments for speed, efficiency and cost-effectiveness. Designs, builds, deploys and maintains data integration pipelines in MS Azure and/or SQL Server Integration Service. Documents data engineering workflows, predictive analytics integration patterns, advanced Power BI development standards and MLOps processes to support transparency, reproducibility and efficient onboarding. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Stays up-to-date with the latest analytics and predictive analytics tools, technologies and best practices to continuously improve the machine learning operations pipeline. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Provides information and training to other team members. Serves as a resource for questions and problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2008, 2012, 2014, 2017, 2019), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies, preferred. Advanced knowledge of Python, R, and/or Java, with an emphasis on Python due to its extensive use in machine learning and data science. Advanced experience with machine learning frameworks (e.g., PyTorch) and algorithms, as well as the ability to understand and interpret models created by data scientists. Advanced experience in Power BI, including DAX development, data modeling, Power Query (M), and building enterprise-grade dashboards and reports. Advanced experience with cloud platforms such as AWS or Azure, including services related to machine learning, computation, storage, and orchestration. Advanced knowledge of container management systems to deploy and manage machine learning models at scale. Ability to work with big data technologies and databases (SQL), as well as to preprocess and handle large datasets. Advanced communication skills to work effectively with cross-functional teams, including data scientists (quantitative analysts) and business stakeholders. Strong analytical and troubleshooting skills to resolve deployment issues and optimize model performance. Valid Driver's License. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,000-$124,500 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

We are seeking an experienced and innovative Data Architect to lead the design, development, and optimization of our enterprise data architecture. This individual will play a critical role in aligning data strategy with business objectives, ensuring data integrity, and driving value from data across multiple platforms. The ideal candidate will have deep expertise in data architecture best practices and technologies, particularly across SAP S/4 HANA, Veeva CRM, Veeva Vault, SaaS platforms, Operational Data Stores (ODS), and Master Data Management (MDM) platforms. This is a full-time, position reporting to the Director, Enterprise Architecture ESSENTIAL DUTIES AND RESPONSIBILITIES: Design, develop, and maintain scalable and secure enterprise data architecture solutions across SAP S/4 HANA, Veeva CRM, and Veeva Vault environments. Serve as a subject matter expert for Operational Data Stores and Master Data Management architecture, ensuring clean, consistent, and governed data across the enterprise. Collaborate with cross-functional teams to identify data needs, establish data governance frameworks, and define data integration strategies. Develop data models, data flows, and system integration patterns that support enterprise analytics and reporting needs. Evaluate and recommend new tools, platforms, and methodologies for improving data management capabilities. Ensure architectural alignment with data privacy, regulatory, and security standards. Provide leadership and mentoring to data engineering and analytics teams on best practices in data modeling, metadata management, and data lifecycle management. Contribute to data governance initiatives by enforcing standards, policies, and procedures for enterprise data. QUALIFICATIONS/KNOWLEDGE: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. Minimum of 8+ years of experience in data architecture, data integration, or enterprise data management roles. Proven experience in designing and implementing data solutions on SAP S/4 HANA, including integration with other enterprise systems. Strong hands-on experience with SaaS platforms, including data extraction, modeling, and harmonization. Deep understanding of Operational Data Stores and MDM design patterns, implementation, and governance practices. Proficiency in data modeling tools (e.g., Erwin, SAP PowerDesigner), ETL tools (e.g., Business Objects Data Services, SAP Data Services), and integration platforms (e.g., MuleSoft). Familiarity with cloud data architecture (e.g., AWS, Azure, GCP) and hybrid data environments. Excellent communication and stakeholder management skills. OTHER: Experience with pharmaceutical, life sciences, or regulated industry environments. Knowledge of data privacy regulations such as GDPR, HIPAA, and data compliance frameworks Ability to travel domestically and internationally as needed for high priority projects Novocure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state, or local law. We actively seek qualified candidates who are protected veteran and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Novocure is committed to providing an interview process that is inclusive of our applicant's needs. If you are an individual with a disability and would like to request an accommodation, please email ABOUT NOVOCURE: Our vision Patient-forward: aspiring to make a difference in cancer. Our patient-forward mission Together with our patients, we strive to extend survival in some of the most aggressive forms of cancer by developing and commercializing our innovative therapy. Our patient-forward values innovation focus drive courage trust empathy #LI-RJ1

Hi All, I am hiring for below mentioned role. Role- AWS Data Architect Job Type - Contract We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will have deep expertise in AWS cloud services, data modeling, data lakes, ETL pipelines, and big data ecosystems. Key Responsibilities Design and implement end-to-end data architectures on AWS (data lakes, data warehouses, and streaming solutions). Define data ingestion, transformation, and storage strategies using AWS native services (Glue, Lambda, EMR, S3, Redshift, Athena, etc.). Architect ETL/ELT pipelines and ensure efficient, secure, and reliable data flow. Collaborate with data engineers, analysts, and business stakeholders to translate business needs into scalable data solutions. Establish data governance, security, and compliance frameworks following AWS best practices (IAM, KMS, Lake Formation). Optimize data systems for performance, cost, and scalability. Lead data migration projects from on-prem or other clouds to AWS. Provide technical guidance and mentorship to data engineering teams. Required Skills & Qualifications 10+ years of experience in data architecture, data engineering, or cloud architecture. Strong hands-on experience with AWS services: Storage & Compute: S3, EC2, Lambda, ECS, EKS Data Processing: Glue, EMR, Kinesis, Step Functions Lead Technical Recruiter Next Level Business Services, Inc. Consulting| Analytics| Staff Augmentation E-Mail: ******************************* | An ISO 27001 and 20000-1 Certified & Minority Business Enterprise

Posting Type Hyrbid Relativity powers the world's most critical legal, compliance, and investigative work. From corporate compliance to human rights, our platform must preserve trust in global investigations while handling petabytes of sensitive evidence. Our team builds the distributed data backbone that powers AI-assisted evidence analysis across billions of documents daily. We are at the forefront of Legal Data Intelligence, building technology that helps organizations Organize Data, Discover Truth, and Act on It. As a Lead Data Engineer, you are the technical leader for your team: hands-on, design focused, and accountable for elevating engineering quality. You'll drive architectural decisions, guide how systems are built, and mentor others to deliver high-performance, cloud-native data systems. You will work across modern data tooling, including Databricks, Kafka, dbt, and Snowflake, to directly support some of the most mission critical legal processes worldwide. Job Description and Requirements What You'll Do * Architect, build, and operate distributed data pipelines and services that process massive volumes of structured and unstructured data. * Design and deliver scalable, secure, and observable data integration and ETL solutions using dbt to ensure end-to-end data integrity and availability. * Partner with AI/ML engineers and data scientists to build data foundations that accelerate model training, experimentation, and production deployment. * Drive improvements in data quality, lineage, reliability, and SLAs, shaping engineering standards for your team. * Contribute reusable patterns, frameworks, and best practices that strengthen our Azure cloud-native data platform. What You'll Bring * 6+ years of experience in data engineering, backend engineering, or data architecture with substantial work on distributed systems and cloud-first data platforms. * Deep understanding of data modeling, ETL/ELT design, and workflow orchestration. * Proven ability to lead technical decisions within a team-breaking down complex problems, defining trade-offs, and driving alignment. * Strong communication skills and the ability to explain complex data concepts to diverse audiences. * A commitment to building systems that create clarity and insight through data, not just moving data from point A to point B. Preferred Experience * Expertise with Databricks and/or Azure-based data architectures. * Background building systems that support ML workflows or AI-driven applications. * Experience leading modernization or migration of large-scale data platforms. * Strong understanding of observability and cost-optimization strategies for cloudbased data systems. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $150,000 and $224,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Suggested Skills: Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success. Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood. Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. Dare to innovate:We challenge the status quo with creativity and innovation as our true north. Better together:We check our egos at the door. We work together, so we win together. The Data Engineer III will design, develop, and support solutions to transport, store, and analyze data for our Unified Data Platform and multiple On-Prem data marts using Azure, Azure Databricks, and On Premises SQL Server extracting data from our source systems. Analyze, design, architect, develop and test software systems that simulate business processes and can be used to optimize and increase their efficiency, using various computer languages and Windows based platforms. Gather customer requirements and create high-level component level architecture and confer with personnel of organizational units involved to analyze current operational procedures, identify problems, oversee specific input, and output requirements. Format reports, write detailed description of user needs, program functions, and steps required to develop or modify computer programs. Review computer system capabilities, workflow, and schedule limitations to determine if requested program or program change is possible within existing system. Serve as key member in evolving and maturing our enterprise data strategy and capabilities at Press Ganey. Technical Skills: 2+ years experience with Azure data technologies (Databricks, Data Factory, Stream Analytics, Data Lake Storage, Synapse), on-premises Microsoft tools (SQL DB and SSIS) 1+ years experience with SQL, Python, PySpark. Experience in Apache Spark 1+ years experience with C#, PowerShell, and APIs 2+ years experience with analytical solutions in relational databases such as MS SQL Server, Oracle, and DB2. Experience with NoSQL databases and solutions such as data lakes, document-oriented databases, and graph databases a plus Experience in data modeling Experience with Azure DevOps and GitLab Proficient in creating CI/CD pipelines to track version changes, branch deployment Proficient in integrating automatic unit tests into CI/CD process Experience with developing automated job schedules using tools such as Tidal Familiarity with data visualization tools such as Power BI Minimum Requirements: Bachelor's degree in Computer Science, Management Information Systems, or related field Minimum of 3 years Data Engineering experience in an enterprise environment Excellent communication and collaboration skills Strong analytical and problem-solving abilities Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At PG Forsta we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Additional Information for US based jobs: Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class. Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. The expected base salary for this position ranges from $ 81,000 to $120,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results. All your information will be kept confidential according to EEO guidelines. Our privacy policy can be found here:legal-privacy/

Employee Type: Full time Job Type: Information Technology Data Management Job Posting Title: Supply Chain Data Scientist About Us: TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values-Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together. We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. What You Gain: Competitive compensation and benefits program with no waiting period - you're eligible from your first day! 401(k) program with 5% employer match and 100% vesting as soon as you enroll. Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way. An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. Access to our wellness and employee assistance programs. Job Description: About the Role: Treehouse Foods' Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities in our Oak Brook, IL corporate office. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods' mission of delivering quality food products with efficiency and precision. You'll add value to this role by performing various functions including, but not limited to: Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges. Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units. Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders. Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance. Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards. Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value. Other duties as assigned. Important Details: This is a hybrid role on first shift in Oak Brook, IL. The anticipated compensation for this position ranges from $ 100,800 to $151,200 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay. You'll fit right in if you have: Bachelor's or advanced degree in Statistics, Data Analytics, Applied Mathematics, or a related quantitative field; advanced degree preferred. 5 or more years of experience in data science or machine learning roles, preferably within private-label CPG organizations. Expertise in SQL and relational databases, proficiency with Blue Yonder or similar Supply Chain platform for statistical demand planning and inventory optimization. Experience with machine learning libraries and frameworks (PyTorch, TensorFlow, NumPy) and data visualization tools (Tableau, PowerBI). Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression, random forests, hierarchical clustering, deep learning, CNNs, and RNNs. A strong desire to explore data-driven methodologies, with a focus on innovation and continuous improvement. Your TreeHouse Foods Career is Just a Click Away! Click on the “Apply” button or go directly to ****************************** to let us know you're ready to join our team! At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us “Engage and Delight - One Customer at a Time”. TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact disability-accommodations@treehousefoods.com TreeHouse Use Only: #IND1

At Young Innovations, we foster a dynamic environment where team members make an impact every day as part of a collaborative, inclusive culture. Together, we serve the dental profession and their patients, united in our mission of achieving a Lifetime of Oral Health™ We embrace diverse perspectives and encourage bold thinking, challenging traditional approaches with a bias for action. Whether you're looking to expand your skills or grow your career, Young is here to support your goals and continuous learning. At Young, YOU are at the core of what we do. Position Overview: The Data Scientist will drive adoption and implementation of artificial intelligence, machine learning, and strategic analytics within our global data Fabric environment. This Data Scientist is ideal for someone with a strong foundation in statistical analysis, machine learning, and natural language processing, particularly in the application and fine-tuning of Large Language Models (LLMs). This professional will bring expertise in correlation analysis, predictive modeling, and the ability to work with large, complex datasets to drive data-driven decision-making across the organization. You'll like this role if: You like building processes from the ground up Partnering across the business Wearing multiple hats in a face paced environment Why You'll Love Working Here: Medium sized company - not too big, not too small - just enough to get things done and see your impact. Did we say benefits? Full medical, dental, vision, 401k, parental leave, paid holidays, paid time off, and more! You will have the ability to create everything from the ground up and fully own this function. Who you'll work with: Stakeholders from all across the business - IT, Supply Chain, Finance, Marketing, and more. What You'll Do: AI/ML Development & Integration Integrate large language models (LLMs)-such as OpenAI, BERT, and LLaMA-into business processes and products to enable text summarization, classification, personalized recommendations, and conversational interfaces. Build and optimize predictive models using advanced machine learning techniques to support forecasting, customer segmentation, retention strategies, fraud detection, and other high-impact business functions. Stay up to date with advancements in AI/ML, NLP, and data analytics; proactively recommend new tools, frameworks, and best practices to enhance capabilities. Statistical & Analytical Modeling Perform statistical analyses to uncover correlations and causal relationships across structured and unstructured data, identifying key drivers of business performance and emerging trends. Develop customer segmentation frameworks by analyzing behavioral, transactional, and demographic data to support personalized marketing and engagement initiatives. Translate complex results into clear, actionable insights through dashboards, visualizations, and reports for both technical and non-technical audiences. Leverage large-scale datasets (e.g., customer interactions, transaction records) using distributed computing and modern data platforms to support data-driven decision-making. Cross Functional & Strategic Collaboration Partner with Product, Marketing, Commercial, Customer Service, Finance, and Operations teams to understand analytical needs and deliver impactful solutions. Support enterprise-wide initiatives, including M&A data integration and other strategic analytics projects. Qualifications What You'll Bring: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Masters, MBA and/or PhD a plus 3+ years of professional experience in data science, analytics, or machine learning roles Hands-on experience working with and implementing Large Language Models (LLMs) and NLP techniques Experience working in a private equity is a plus Technical Skills Strong foundation in statistical analysis and predictive modeling, including correlation analysis, hypothesis testing, regression, classifications, and time-series forecasting using tools like Phython (SciPy, statsmodels), R, or SaaS Experience working with large datasets and data warehouses using SQL and cloud platforms (i.e. AWS, GCP, Azure) Strong proficiency in Python and experience with ML frameworks (ie. PyTorch, TensorFlow) The pay range reflects the minimum and maximum target for the position at the time of posting. Within the range, the compensation will be determined based on education/training, skill set, experience, and other organizational needs. Physical Requirements/Working Locations: Office/Remote Environment This position is based in an office environment and is primarily sedentary in nature. It requires regular use of standard office equipment, including computers, phones, photocopiers, scanners, filing cabinets, and fax machines. Some roles may involve wearing a headset and sustained computer use for 8 or more hours per day. Employees may be required to sit, stand, or walk for extended periods, and occasional bending, lifting, or carrying items up to 50 pounds may be necessary. We are an Equal Opportunity Employer and value diversity at all levels of the organization. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. Purpose: We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Essential Job Responsibilities: Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD Design of observational studies (primary and/or secondary data) Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications Ensure efficient planning, execution and reporting of analyses Advise as subject matter expert in specific data access partnerships Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed Contributes to vendor selection with partner functions Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance Mentor and guide junior members of the RWD Analytics team

Fairbanks Morse Defense, is seeking highly motivated Interns to join our team. As an Intern, you will be taking on impactful work, while engaging in dynamic learning experiences and working as a valued member of our team. General internship requirements: Legal authorization to work in the U.S. is required. Sponsorship for employment visas is not available for this job opening. Must be willing to comply with pre-employment screening, including but not limited to, reference verification, post-offer drug testing, and background check Proficient in Microsoft Office - Word, Excel, PowerPoint, Outlook Must have access to reliable transportation What projects will this intern work on? Data Analytics: Support development of new data analytics tools, which will include exposure to data analytics software like Tableau and PowerBI as well as a range of business stakeholders across multiple departments including financial and operational leadership teams What is expected from an intern? Dedication to creating a safe workplace free of all injuries Presentation to the leadership team at the conclusion of the internship Completing work as assigned and meeting all deadlines Routinely communicating with department staff and informing them of any difficulties in completing work Willingness to work in a fast-paced, team environment Desire to learn new things Highly motivated approach to problem-solving Working hours as agreed and giving advance notice of any necessary schedule changes Adherence to dress code, which is casual but appropriate for an office environment What can an intern expect from the company? Competitive hourly wage Housing/Transportation stipend of $1,000, paid during the second pay period after the start of the internship The opportunity to receive a hands-on, professional work experience Additional learning experiences outside of daily work, including training and workplace growth activities Program support with regular progress updates, team-building activities, and professional guidance Sufficient opportunity to build your professional portfolio, including interaction with professional work teams