Data science internship jobs in Provo, UT

Internship Opportunity: Data Science Department: BCI Neuralace - Data Science Duration: 3 Months - 6 Months (Possible Contract Extension) Our Mission Blackrock Neurotech is 100% focused on improving human lives through neuroscience research and technology. The passion and dedication behind this mission has nurtured a dynamic, enjoyable and fulfilling corporate environment in which learning, and growth are commonplace. We operate in an innovative field that requires our staff to meet the highest standards. Every step of the way, we encourage one another by providing continuous motivation and promoting a healthy work environment. Community Contributions Not only are Blackrock's employees committed to improving lives through their work, but many also strive to improve the community by volunteering in their spare time. Our efforts vary from donating blood and feeding the hungry to volunteering at the Utah Food Bank. We also value community education -teaching science labs to children, coaching sports teams, and teaching first aid courses. We take pride in our employee's extracurricular activities that contribute to the betterment of local communities. Disclosure In order to provide a safe and productive work environment, all offers of employment at Blackrock Neurotech are contingent upon a thorough background check. A criminal history will not automatically disqualify a candidate from an offer of employment. About Neuralace Neuralace is advancing the future of brain-computer interface (BCI) technology through innovation, precision, and purpose. We're growing a team dedicated to developing groundbreaking neurotech solutions that bridge the gap between science and real-world impact. About the Internship At the forefront of patient-focused research, the BCI Clinical team uncovers the scientific insights that make tomorrow's brain-computer interfaces possible. Our neuroscientists, engineers, and clinicians work side by side with research and engineering partners to tackle the most pressing challenges in BCI. We champion rigorous experimental design, thoughtful inquiry, and a collaborative spirit. Technical Skills * Strong Python programming and software engineering fundamentals * Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn) * Signal processing expertise (filtering, Fourier/wavelet transforms, feature extraction) * Knowledge of neural decoding methods and real-time data streaming Analytical Abilities * Ability to build and validate predictive models * Statistical rigor in model evaluation and performance tuning * Data-wrangling skills for large, high-dimensional datasets Personal Qualities * Curiosity and creativity in algorithm design * Collaborative mindset for working with engineers, clinicians, and researchers * Comfort explaining complex data insights to mixed audiences Internship Benefits * Public transportation pass reimbursement (up to $100/month) * Company swag * Company-sponsored events * Company-sponsored intern social events * 12 company-paid holidays * 3 paid sick days * Employee recognition program * Weekly catered lunches * Fully stocked kitchen with snacks and drinks

Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace. With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including. • Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here) • Collabera listed in GS 100 - recognized for excellence and maturity • Collabera named among the Top 500 Diversity Owned Businesses • Collabera listed in GS 100 & ranked among top 10 service providers • Collabera was ranked: • 32 in the Top 100 Large Businesses in the U.S • 18 in Top 500 Diversity Owned Businesses in the U.S • 3 in the Top 100 Diversity Owned Businesses in New Jersey • 3 in the Top 100 Privately-held Businesses in New Jersey • 66th on FinTech 100 • 35th among top private companies in New Jersey *********************************************** Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description • Role Purpose Responsible for the documentation of business needs/requirements and testing requirements, applying the required methods and standards, as appropriate. • Assists in the analysis of underlying issues arising from investigations into requirements. • Assists the project team in the completion of project-related documentation. • Recommended Experience Entry-level position into Business Analysis functional domain. • May have prior experience as a Programmer and/or Service Delivery Engineer within a technical delivery/support organization. • May have prior business experience in a functional domain. • Scope Works as part of a team on projects which are moderately complex. • Accountabilities Reports to the Lead Business Analyst, Lead Project Manager or Director Technical Delivery (where a Lead Business Analyst is not available). • May work in conjunction with Testing & Quality Assurance resources (if applicable) to coordinate testing phases. • Management Dimensions Not applicable Functional Capability Facilitates the set-up of meetings and conference calls. • Participates in project definition and analysis phases of projects to ensure that business needs and requirements are captured effectively. • Assists the Lead Business Analyst/Program/Lead Project Manager in completing the relevant project documentation. • Assists in the analysis of underlying issues arising from investigations into requirements. • Assists in test planning and test case definition, as required. • Involved in system and user acceptance testing phases, developing test cases and monitoring/tracking resolution of defects. • Reliable and self-motivated Focuses on the Customer and Client Builds and Leverages. • Enjoys working both collaboratively and independently Communicates. • Verbally and in writing. • Facilitation skills Drives Innovation and Change. • Problem solving and analytical skills Demonstrates Personal Excellence. • Those identified here are of particular significance. Additional Information HM is available to interview ASAP. If you are interested with the Opportunity please reach me ************

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, Dubai, and Geneva. The Role As an Investment Data Analyst, you will partner with clients to integrate and analyze multi-asset class portfolios, performance data, and market data from a wide range of sources. You'll consult on investment workflows, ensuring accuracy and consistency, while collaborating closely with other Data Solutions Consultants and internal teams to deliver seamless client outcomes. This role is ideal for someone who thrives at the intersection of finance and data, is solutions-oriented, and enjoys working directly with clients. Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $90,000 - $112,000 (base salary) + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Translate unique client requirements into flexible and scalable investment data solutions Lead data conversion projects to integrate historical portfolio data from legacy systems into Addepar Work directly with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources Consult with clients on investment data workflows, ensuring accuracy, consistency, and scalability Collaborate closely with other Data Solutions Consultants on technical implementations to ensure smooth onboarding and delivery Identify and drive opportunities to improve processes, tools, and data quality standards Communicate proactively and professionally with clients and internal stakeholders Who You Are Minimum 2+ years of experience working in technology, finance, or consulting Deep understanding of a wide range of financial instruments, including equities, fixed income, derivatives, and alternative investments Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources Solution-oriented mentality and passion for problem-solving Excellent communication, organizational, and time-management skills Strong work ethic, proactive, and a high-contributing teammate Highly organized with close attention to detail, driven to make processes more efficient Independent, adaptable, and able to thrive in a fast-paced environment Strong proficiency with Excel (pivot tables, lookups, nested formulas, data cleaning/validation); ability to structure and manipulate complex datasets Experience with Python programming language is a bonus but not a requirement Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ******************.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

**About Us** We set out to develop a health care innovation organization that could separate the background "noise" from what warrants investment in our highly complex, rapidly evolving marketplace lacking transparency to enable our pharmaceutical and biotech clients to make better decisions and flourish. Today, ten years later, we are the preeminent U.S. market access oncology and specialty strategy partner, grounded in the structure and logic of the strategy consulting discipline, bolstered by our robust data set continuously enriched via our unequaled specialty access panel of the most highly influential access and value influencers in the U.S. With a unique staffing model of highly structured and collaborative creative thinkers akin to an oncology and specialty think tank, we have increasingly come to be viewed as an influencer in our industry. At the interface of clinical, economic, and operational evolving needs, the Dedham Group has become the go-to resource for addressing the challenges faced by the world's leading life sciences organizations. Now, The Dedham Group is proud to be a part of Norstella (*************************** , an organization that consists of market-leading pharmaceutical solutions providers united under one goal: to improve patient access to life-saving therapies. Within this organization, The Dedham Group plays a key role helping commercial teams navigate the oncology space to get much-needed drugs to market-and helping clients connect the dots from pipeline to patient. **About the Analyst:** The Analyst position at TDG is a rare and exciting opportunity for junior team members who are extremely smart and ambitious looking to further their careers in the Life Sciences industry and strategy consulting. Analysts will work on projects addressing the reimbursement, pricing, demand creation, health policy, health economics and market strategy needs of clients. Analysts will support all levels of consulting projects and business development work including: + Market research (primary and secondary research) + Data analysis + Report and presentation development + Strategy assessment and commercial insight + And other duties as assigned **Requirements** **Our ideal candidate has:** + A science or science-related degree from a top-tier university + 1-3 years of experience in consulting or related fields within the Life Sciences industry + Entrepreneurial and collaborative attitude + Excellent time and project management skills + Superior skills in using MS Office (particularly PowerPoint and Excel) + Strong communication and analytical skills **Benefits** + Medical and prescription drug benefits + Health savings accounts or flexible spending accounts + Dental plans and vision benefits + Basic life and AD&D Benefits + 401k retirement plan + Short- and Long-Term Disability + Paid parental leave + Paid time off _The expected base salary for this position ranges from_ **_$80,000_** _to_ **_$100,000._** _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._ **_Please note- all candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa._** **The Guiding Principles For Success At Norstella** **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. _The Dedham Group is an equal opportunity employer. All Job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law._ _All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address:_ _[email protected]_ _._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Awardco is reimagining the workplace to be more rewarding, supportive, and fun for everyone. As one of the fastest-growing companies in the employee experience industry, our mission is to help employees love what they do, love where they work, and get recognized for their efforts-especially our own employees! And as winners of Glassdoor's Best Places to Work, Best in Brightest in the Nation, and Great Place to Work, we do much more than talk the talk. We are seeking a Data Analyst to join Awardco's growing AI/ML Team, where you will shape the data foundations, metrics, and insights behind our next generation of intelligent product features. As the first Data Analyst dedicated to an AI product line, you will own the analytical frameworks that demonstrate the value, performance, and impact of Awardco's AI features across our global platform. The ideal candidate brings strong experience in data modeling, advanced SQL, AI/ML analytics, and cross-functional partnership and thrives in fast-moving environments where autonomy, clarity, and ownership are expected. This role is pivotal in helping Awardco scale trustworthy AI, measure impact + value, provide context, and establish the source of truth for Awardco Intelligence. What you will do: Core Responsibilities: Create and own the source of truth for AI/ML-enabled product metrics, covering adoption, engagement, conversion, retention, model performance, and value realization across Recognition Assistant, Themes, Summaries, and emerging AI features. Gather, clean, standardize, and validate product and operational datasets to identify trends, patterns, anomalies, and insights that inform the AI product roadmap. Design and maintain scalable, accurate data models, in partnership with QA, to support real-time and batch AI use cases, EVAL frameworks, model versioning, and performance tracking. Analyze user behavior and AI model performance, identifying opportunities to improve accuracy, efficiency, user experience, and long-term product value. Support experimentation efforts, including A/B testing design, experiment readouts, KPI alignment, and analysis of qualitative + quantitative feedback signals. Conduct deep-dive research and exploratory analysis to support decision-making, roadmap planning, opportunity sizing, and Awardco's evolving AI Intelligence strategy. Develop complex dashboards and reporting artifacts that provide clarity, context, and narrative around AI usage and model outcomes. Cross-Functional Impact: Partner with Product, Engineering, Data Science, QA, and Customer teams to translate ambiguous business and AI questions into clear analytical requirements (where context is needed). Collaborate on defining KPIs, metrics, and evaluation design for new AI features and enhancements. Ensure metric alignment and consistency across teams and stakeholders, eliminating ambiguity and improving decision quality. Present findings to technical and non-technical audiences, ensuring insights are actionable, understandable, and grounded in rigor. Leadership & Growth: Own your domain with autonomy: Identify problems, propose solutions, and lead analytical efforts without hand-holding. Contribute to data governance, high-quality dataset standards, and model evaluation best practices. Support mentorship as the AI/ML team scales. Champion a culture of measurement, clarity, and evidence-based decision-making across Awardco's intelligence initiatives. What you will bring: Bachelor's degree in Information Systems, Data Science, Statistics, Computer Science, or a related field (or equivalent experience). 3+ years of experience in data analytics, product analytics, or data science roles. Strong experience in data modeling, ETL/ELT workflows, and building scalable analytical datasets. Hands-on experience supporting AI/ML teams, including model evaluations, experiment tracking, annotation workflows, or model performance analytics. Advanced SQL proficiency with experience working across large data systems (Databricks, BigQuery, Kubernetes-based pipelines, etc.). Proficiency with data visualization tools (Tableau, Domo), with the ability to design dashboards that tell a clear story. Strong analytical and problem-solving skills, with a deep curiosity about user behavior, system performance, and AI outcomes. Clear communication skills across technical and non-technical audiences, with the ability to transform complex data into meaningful narratives. Demonstrated ability to work with autonomy, manage priorities, and drive measurable outcomes in fast-paced environments. Why Awardco: We have a revolutionary, client-approved product. One of the fastest growing companies in the nation: 3x Inc. 500, 2x Deloitte Technology Fast 500, 2x Mountain West Capital Network Fast 100, 3x Fast 50 (Utah Business), and 3x UV50 Fastest Growing Companies (BusinessQ), to name just a few. Great Place to Work certified, ranked in Inc. Best Workplaces, one of the Best and Brightest companies to work for, and ranked on the Salt Lake Tribune's Top Workplaces. Backed by renowned investors, both local and national. Awardco is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Disclaimer: Please be aware that all official communication regarding your application will only come from an email address ending ***************. If you receive any communication from a different domain, it may be fraudulent, and we encourage you to report it.

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. About the Role Strider is seeking a Lead Data Scientist to architect, build, and scale AI-driven capabilities that power Strider's core products. You'll own some of the most technically challenging problems Strider faces and you'll be responsible for defining what we build and how we do it. This is a technical leadership role tasked with developing high-quality models and systems, setting technical standards, accelerating delivery through the smart use of AI, and grounding all work in objective, measurable impact. This role is ideal for a hands-on senior contributor who thrives on complexity, loves building scalable systems, and is eager to influence the technical direction of a high-impact data science team. You'll prototype fast, iterate intelligently, and help shape how AI elevates Strider's ecosystem. What You Will Do * Architect data services that power Strider's current and future products - think entity resolution, knowledge graphs, large-scale systems that transform unstructured data into structured intelligence. * Drive the integration and adoption of AI and machine learning that make our data science stack faster, smarter, and more autonomous. * Own end-to-end delivery of complex technical projects, from scoping to deployment, balancing innovation, velocity, and precision. * Partner cross-functionally with Engineering, Product, and Intelligence teams to translate ambiguous mission statements into technical solutions. * Define and track metrics for progress and impact, ensuring that every model matures from experimentation to product, delivering quantifiable value. * Provide technical leadership through code reviews, architectural guidance, and methodological rigor-helping peers unblock and level up. * Push the team's technical boundaries - propose new methods, prototype novel architectures, advocate for scalable AI systems, and share learnings that move us all forward. What You Will Need to Be Successful * 6+ years of hands-on data science experience, including production-grade model development. * Deep expertise in Python; experience with a search infrastructure (e.g., Elasticsearch), graph-based methods, or distributed data frameworks (Spark, Ray, etc.) is a strong plus. * Demonstrated success building AI-augmented workflows, tools, or data services that scale across use cases. * Proven ability to take a nebulous question, frame it as a technical problem, and deliver a working system that people actually use. You know when to go deep and when to ship. * Curiosity that borders on obsession - you read papers, explore new methodologies, test new tools, and challenge yourself because you love it. * Relentless pusuit of excellence. Why Join This Team * You'll work at the intersection of AI, data science, and intelligence, developing systems that power Strider's most critical missions. * You'll play a central role in transitioning Strider from smart people solving hard problems to smart systems solving them at scale. * You'll have the autonomy to innovate-designing architecture, improving processes, and influencing the evolution of Strider's AI capabilities. * You'll collaborate with a team of motivated engineers, data scientists, and intelligence analysts committed to pushing technical boundaries and redefining what is possible in data-driven intelligence. Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

Data Scientist | Product Management | Lehi, Utah | Hybrid RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it. Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day. We're searching for a US-based Data Scientist to join our Analytics & Insights team, so that we can deliver predictive models, intelligent data pipelines, and actionable insights to improve patient outcomes and operational efficiency. The Data Scientist will design, implement, and scale advanced statistical and machine learning solutions to help healthcare organizations make better, data-driven decisions. Develop statistical models and machine learning algorithms to support predictive analytics, forecasting, and decision-making in healthcare operations Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks in order to deliver reliable, scalable data pipelines Design and implement experiments and hypothesis tests to validate product impact and optimize customer outcomes Collaborate with engineers, product managers, and clinical experts to translate business questions into data-driven solutions Implement monitoring, validation, and alerting tools to ensure data quality, accuracy, and system reliability What Kind of Things We're Most Interested in You Having Mid-level experience in data science, machine learning, or a related role, ideally within SaaS or healthcare Proven success in building and deploying end-to-end data solutions (from pipeline to predictive model to production) In-depth knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design Applied experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms such as AWS/GCP/Azure) Demonstrated ability to troubleshoot and debug data workflows while maintaining system scalability and availability Sincere interest in using data science to improve healthcare outcomes and operational efficiency A knack for working collaboratively across technical and non-technical teams in a fast-paced, global environment By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays. RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and/or State laws. As part of RLDatix's commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don't hesitate to send a note to accessibility@rldatix.com. Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.

Data Scientist | Product Management | Lehi, Utah | Hybrid RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it. Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day. We're searching for a US-based Data Scientist to join our Analytics & Insights team, so that we can deliver predictive models, intelligent data pipelines, and actionable insights to improve patient outcomes and operational efficiency. The Data Scientist will design, implement, and scale advanced statistical and machine learning solutions to help healthcare organizations make better, data-driven decisions. How You'll Spend Your Time * Develop statistical models and machine learning algorithms to support predictive analytics, forecasting, and decision-making in healthcare operations * Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks in order to deliver reliable, scalable data pipelines * Design and implement experiments and hypothesis tests to validate product impact and optimize customer outcomes * Collaborate with engineers, product managers, and clinical experts to translate business questions into data-driven solutions * Implement monitoring, validation, and alerting tools to ensure data quality, accuracy, and system reliability What Kind of Things We're Most Interested in You Having * Mid-level experience in data science, machine learning, or a related role, ideally within SaaS or healthcare * Proven success in building and deploying end-to-end data solutions (from pipeline to predictive model to production) * In-depth knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design * Applied experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms such as AWS/GCP/Azure) * Demonstrated ability to troubleshoot and debug data workflows while maintaining system scalability and availability * Sincere interest in using data science to improve healthcare outcomes and operational efficiency * A knack for working collaboratively across technical and non-technical teams in a fast-paced, global environment By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays. RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and/or State laws. As part of RLDatix's commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don't hesitate to send a note to accessibility@rldatix.com . Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.

Responsibilities: - Design and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. - Leverage data-driven insights to enhance the accuracy and reliability of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. - Collaborate with data engineering to modernize legacy structures into robust, documented, and reusable data products that support machine learning and real-time analytics. - Partner with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. - Translate complex model outputs into clear, actionable recommendations for both technical and non-technical stakeholders. Day to Day: One of Insight Global's clients is looking for a Staff Data Scientist to join their team. This individual will design and deploy predictive models that enable intelligent home energy decisions. They will build advanced models for occupancy, runtime, cost forecasting, and anomaly detection. Other responsibilities include optimizing energy operations by improving the precision of Demand Response, Time-of-Use shifting, and Virtual Power Plant strategies through data-driven insights. They will work closely with data engineering teams to enhance data quality and scalability. Transforming legacy systems into robust, reusable products that support machine learning and real-time analytics. Additionally, they will translate complex model outputs into clear, actionable insights for both technical and non-technical Stakeholders. At times, they will explore advanced AI applications such as generative models and energy forecasting to push the boundaries of predictive analytics within the energy domain. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 5-8 Years of experience - Proven expertise in predictive modeling, forecasting, and applied machine learning techniques (e.g., regression, gradient boosting, time-series analysis, causal inference). - Hands-on experience working with large-scale event and sensor data, ideally within energy, IoT, or device-driven ecosystems. - Strong proficiency in Python (including Pandas, NumPy, scikit-learn, PySpark) - Experience with distributed computing environments such as Spark, Databricks, or GCP. - Expertise in energy forecasting, thermal/comfort modeling, or Demand Response optimization - Deep understanding of energy markets, DER, and Virtual Power Plant (VPP) concepts - Experience applying LLM or generative AI in analytics and optimization - Advanced degree (MS/PhD) in a quantitative field - 7+ years of industry experience with proven technical leadership on high-impact modeling initiatives

Job Title: Data Entry Analyst Company: Excell Financial Services Are you a detail-oriented individual with excellent data management skills? Are you looking for a career in the financial services industry? Excell Financial Services is currently seeking a Data Entry Analyst to join our dynamic team. About the Company: Excell Financial Services is a leading financial services company, specializing in providing expert financial advice and services to individuals and businesses. Our company prides itself on its commitment to providing personalized and customized solutions to our clients, while maintaining the highest level of integrity and professionalism. Position Overview: As a Data Entry Analyst, you will be responsible for accurately inputting and maintaining essential financial data into our systems. You will play a critical role in ensuring the accuracy and completeness of our financial records. This position offers excellent opportunities for career growth and development within the financial services industry. Key Responsibilities: • Accurately and efficiently input financial data into our systems • Verify the accuracy and completeness of data entered • Identify and resolve any discrepancies or errors in data • Collaborate with team members to ensure timely and accurate data entry • Maintain confidentiality and security of all financial data • Stay up-to-date with industry trends and best practices for data entry • Provide support to other departments as needed Qualifications: • Bachelor's degree in accounting, finance, or a related field • Proven experience in data entry and financial data management • Excellent attention to detail and strong analytical skills • Proficient in Microsoft Office Suite, especially Excel • Knowledge of accounting and financial principles • Ability to handle and prioritize multiple tasks with competing deadlines • Strong communication and interpersonal skills • Team player with a positive attitude Why Work at Excell Financial Services: At Excell Financial Services, we value our employees and understand that they are the key to our success. That's why we offer a competitive salary and benefits package, including health insurance, retirement savings options, and opportunities for career advancement. We also promote a healthy work-life balance and actively foster a supportive and inclusive work culture. Join Our Team: If you are looking for a challenging and rewarding career in the financial services industry, then we want to hear from you. Apply now and become part of the Excell Financial Services team as a Data Entry Analyst.

MeetCute needs a data scientist MeetCute has a lot of data, and needs to mine that data to #hackdating. As a growing company, we're looking for smart, curious people to answer questions and provide insights that make MeetCute a better place to find a date. The main technologies you'll be working with are Python and MySQL. Several years of data science experience are preferred. Requirements You need to be: Independent Smart Good at communicating Capable Python programmer Able to think critically and effectively about user experience Effective at turning open-ended projects into concrete deliverables It's also good if you have: Math or CS degree Familiarity with IPython notebook (or Jupyter), pandas, Hadoop How does a MeetCute data scientist #hackdating? First, and most importantly, is the design and analysis of experiments. We run a substantial number of tests in the process of developing our project, and we want to make sure we come to the right conclusions. Data scientists are also often called upon to answer questions about how the site currently functions, to inform and guide future product decisions that we make. These questions tend to be open-ended, so the ability to go from a vague question to a concrete answer is essential. How can you join our team? Send us your resume and tell us why you're excited to join us

+ A Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. + We are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. + Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. **Responsibilities:** + Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. + Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. + Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. + Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. **Experience:** + Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference). + Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. + Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). + Ability to take models from concept to production in collaboration with engineering partners. + Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing). + Excellent communication and storytelling skills for complex, data-driven topics. **Skills:** + Experience with energy forecasting, thermal modeling, or Demand Response optimization. + Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. + Familiarity with LLM or generative AI applications in analytics and optimization. + 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives. **Education:** + Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Summer 2026 Internship Interviews begin January 2026 | Offers extended in March | Start date projected for May Location: This internship will be based at one of Waystar's four basecamp locations, offering an in-person experience designed to foster collaboration and hands-on learning. WHAT YOU'LL DO Waystar is seeking a curious, analytical, and detail-driven Data Analyst Intern to join our Summer 2026 Internship Program. This opportunity is ideal for students who love working with data, uncovering insights, and solving complex problems that drive smarter decisions in the healthcare technology space. As a Data Analyst Intern, you'll collaborate with cross-functional teams to support data-driven initiatives across the organization. What You'll Gain: * Exposure to healthcare data and analytics tools * Hands-on experience with data visualization, reporting, and trend analysis * Opportunities to work on meaningful projects that inform strategic decisions * Mentorship from experienced analysts and collaboration across departments WHAT YOU'LL NEED Program Timeline The interview process for Summer 2026 internships will begin in January 2026, with offers expected to be extended in March. Interns will officially onboard in May, aligning with the start of the summer program. ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter. WAYSTAR PERKS * Competitive total rewards (base salary + bonus, if applicable) * Customizable benefits package (3 medical plans with Health Saving Account company match) * We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays * Paid parental leave (including maternity + paternity leave) * Education assistance opportunities and free LinkedIn Learning access * Free mental health and family planning programs, including adoption assistance and fertility support * 401(K) program with company match * Pet insurance * Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. We are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. Required Qualifications Proven expertise in predictive modeling, forecasting, and applied ML (e.G., regression, gradient boosting, time-series, causal inference). Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). Ability to take models from concept to production in collaboration with engineering partners. Skilled in statistical analysis, feature engineering, and experimental design (e.G., A/B testing). Excellent communication and storytelling skills for complex, data-driven topics. Preferred Qualifications Experience with energy forecasting, thermal modeling, or Demand Response optimization. Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. Familiarity with LLM or generative AI applications in analytics and optimization. Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives.

About the Role Are you passionate about turning data into actionable insights that drive business success? We're looking for a Sales Data Analyst to join our team in-office and help us optimize sales, inventory, and distribution performance across the organization. In this role, you'll work closely with sales and purchasing leadership to uncover trends, track key metrics, and influence strategies that shape our growth. You'll play a key part in translating complex data into clear, meaningful stories that guide smarter decisions, improve efficiency, and strengthen customer relationships. Key Responsibilities: Collect, analyze, and interpret sales, purchasing, and inventory data to identify trends and opportunities. Build and maintain dashboards, reports, and visualizations that clearly communicate insights. Collaborate with sales leaders to evaluate customer buying patterns, product demand, and regional performance. Provide data-driven recommendations for pricing, promotions, and sales strategies. Monitor KPIs and track progress toward goals, identifying areas for improvement. Support the execution and evaluation of sales initiatives and customer-facing programs. Maintain clean, accurate CRM and reporting data for leadership visibility. Communicate performance trends, wins, and challenges through internal updates. Contribute innovative ideas to improve processes, efficiency, and reporting accuracy. Qualifications: Bachelor's degree in Business, Data Analytics, Supply Chain Management, or a related field (or equivalent experience). 2+ years of experience in data analysis, preferably within warehouse, purchasing, or sales environments. Proficiency in Excel, SQL, and data visualization tools (e.g., Cognos or similar). Experience with ERP systems and CRM tools. Strong analytical thinking, problem-solving, and communication skills. Ability to balance multiple projects in a fast-paced setting. A proactive, detail-oriented, and team-focused mindset. Preferred Skills Background in sales forecasting and performance analytics. Understanding of CRM and sales processes. Ability to translate data into clear, actionable business insights. Familiarity with statistical analysis and forecasting techniques. Why Cottonwood Distribution? Family-Owned Legacy: Be part of a business with a 60-year quality and customer satisfaction history. Onsite Position: Collaborate closely with your team in a hands-on, dynamic environment. Stability and Tradition: Join a close-knit team where your contributions make a difference. Competitive Compensation: Enjoy a competitive salary and benefits package.

Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open Date 11/25/2025 Requisition Number PRN16564N Job Title Research Data Analysts Working Title Research Data Analyst Career Progression Track P00 Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary Is this a work study job? No VP Area U of U Health - Academics Department 00870 - Ophthalmology-Research Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $21.00 - $28.00 Close Date 01/25/2026 Priority Review Date (Note - Posting may close at any time) Job Summary Research Data Analyst Assist with organizing and analyzing research data, ensuring accuracy and integrity. Perform data entry and prepare basic visualizations and reports using software such as Excel or Tableau. Support team efforts by maintaining datasets, performing quality checks, and documenting processes. Collaborate with senior analysts to learn and implement statistical methods for research projects. Responsibilities Essential Functions: * Lead under the guidance of the PI, qualitative data collection activities, including semi-structured interviews and focus groups, with the assistance of an undergraduate research assistant and research volunteers * Lead coding and analysis of qualitative data under the guidance of the PI * Contribute to the preparation and submission of grants and Institutional Review Board (IRB) applications and amendments to ensure ethical conduct of qualitative research studies. * Participate in other tasks needed to support research projects that align with individual interests and strengths. * Prepare and contribute to scientific presentations, abstracts, and manuscripts for conferences and peer-reviewed publications * Support participant study enrollment and informed consent processes. * Support qualitative data management using platforms such as REDCap. * Knowledge in vision screening to detect eye disorders such as amblyopia, glaucoma, and diabetic retinopathy, as well as general ophthalmology or optometric clinical care practices, a plus (but not required). Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience). Department may hire employee at one of the following job levels: Research Data Analyst I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree. Research Data Analyst II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience. Research Data Analyst III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience. Preferences Special Instructions Summary Additional Information The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at ************** for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at ************** or ************** or University Human Resource Management at ************** if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education. Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at: *************************************** Online reports may be submitted at oeo.utah.edu ************************************ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South. Posting Specific Questions Required fields are indicated with an asterisk (*). * * What is your highest level of completed education? * None * High School Diploma or Equivalent * Associate Degree * Bachelor's Degree * Master's Degree * Doctorate Degree * * How many years of related work experience do you have? * Less than 2 years * 2 years or more, but less than 4 years * 4 years or more, but less than 6 years * 6 years or more, but less than 8 years * 8 years or more, but less than 10 years * 10 years or more, but less than 12 years * 12 years or more, but less than 14 years * 14 years or more Applicant Documents Required Documents * Resume * List of References Optional Documents * Cover Letter

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience