Data engineer jobs in Murray, UT

Role: ETL Data Engineer Employment Type: Full-time Experience: 8+ Years We are seeking an ETL Data Engineer with strong experience in building and supporting large-scale data pipelines. The role involves designing, developing, and optimizing ETL processes using tools like DataStage, SQL, Python, and Spark. You will work closely with architects, engineers, and business teams to create efficient data solutions. The job includes troubleshooting issues, improving performance, and handling data migration and transformation tasks. You will also support Test, QA, and Production environments while ensuring smooth deployments. Strong skills in databases, scripting, and version control are essential for this position. Responsibilities Collaborate with architects, engineers, analysts, and business teams to develop and deliver enterprise-level data platforms that support data-driven solutions. Apply strong analytical, organizational, and problem-solving skills to design and implement technical solutions based on business requirements. Develop, test, and optimize software components for data platforms, improving performance and efficiency. Troubleshoot technical issues, identify root causes, and recommend effective solutions. Work closely with data operations teams to deploy updates into production environments. Provide support across Test, QA, and Production environments and perform additional tasks as needed. Required Qualifications Bachelor's degree in Computer Science, Computer Engineering, or a related discipline. Strong experience in Data Warehousing, Operational Data Stores, ETL tools, and data management technologies. 8+ years of hands-on expertise in ETL (IBM DataStage), SQL, UNIX/Linux scripting, and Big Data distributed systems. 4+ years of experience with Teradata (Vantage), SQL Server, Greenplum, Hive, and delimited text data sources. 3+ years of experience with Python programming, orchestration tools, and ETL pipeline development using Python/Pandas. Deep understanding of data migration, data analysis, data transformation, large-volume ETL processing, database modeling, and SQL performance tuning. Experience creating DDL scripts, stored procedures, and database functions. Practical experience with Git for version control and release processes. Familiarity with Spark framework, including RDDs using Python or Scala.

The Manufacturing Engineer will apply engineering principles to support manufacturing workflows, improve efficiency, and ensure quality and reliability across production and inspection operations. This role requires interpreting technical documentation and supporting routing, layout, and workflow optimization. Responsibilities Analyze time, motion, and operational methods to establish standard production rates and identify efficiency improvements. Review engineering drawings, schematics, and technical documentation; collaborate with engineering or management to define quality and reliability standards. Verify logs, processing sheets, and specification documents meet quality assurance requirements. Assist in planning daily work assignments considering performance, machine capability, schedules, and potential delays. Prepare documentation such as charts, diagrams, workflow maps, routing sheets, and floor layout visuals. Skills Strong analytical, problem-solving, and communication abilities. High attention to detail and ability to work collaboratively. Ability to create sketches, engineering drawings, and perform necessary technical computations. Ability to interpret blueprints, schematics, and computer-generated reports. Experience with CAD or related engineering software. Education & Experience Bachelor's degree in Engineering required. 0-2 years of related experience.

Salt Lake City, UT - HYBRID (MUST LIVE IN UTAH) No Corp to Corp $170-200K/year Seeking a Lead Software Engineer with strong technical talent and a natural inclination to guide others. If you're passionate about building great solutions and bring both aptitude and authentic leadership, you'll be a great fit. Ideal candidate: Solid SaaS development experience, ideally with a history of using AI to increase velocity and operate effectively as a full-stack engineer Strong understanding of data modeling across both SQL and NoSQL systems Experience with RAG pipelines and building AI features that are truly data-supported and production-ready Deep background in frontend engineering-Typescript, React, and Next.js should feel pretty automatic Comfortable designing and integrating APIs in a distributed environment (bonus points for FastAPI experience) Familiar with modern DevOps workflows-Docker, containerized dev environments, CI/CD, environment parity, etc. Strong instincts around code quality, system design, and reducing complexity rather than adding it Bonus: coming from a great SaaS company or, even better, experience at one of our competitors-those perspectives tend to be incredibly valuable We're looking for someone excited to architect and build--someone with the experience and attitude to self-initiate rather than waiting for directions with specified timelines. PrincePerelson & Associates is an Equal Opportunity Employer and we do not discriminate against applicants due to race, color, religion, sex, national origin, age, disability, genetics, veteran status, or on the basis of disability or any other federal, state or local protected class. All applicants applying for U.S. job openings must be authorized to work in the United States.

Dev-Ops Engineer 3 Job Details Dev-Ops Engineer 3 (Contract) Duration: 1/12/2026 to 5/08/2026 Team: Campaign Managed Cloud and Fleet Operati Key Responsibilities: Provide deep technical troubleshooting for escalated issues that involve Adobe Campaign's most technically complex or large-scale customers; Troubleshoot, monitor and report tools to analyze the root cause of serious and impactful technical issues and build stable and sustainable solutions and improvements; Work closely with customer care, internal escalation teams, product management, and engineering to seek solutions for customers and drive ownership of tasks toward completion; Drive and improve the whole lifecycle of operational readiness from inception and design, through deployment, operation and refinement; Develop tools, operational enhancements, and automated solutions that enable self-service configuration changes, speed deployments and improve monitoring in support of business-critical customer facing SaaS applications and environments; Ensure proper monitoring and metrics are being built into the applications before going to production. Required Skills & Qualifications: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or related field. Full Stack troubleshooting experience including networking, operating system (Debian, CentOS), Apache, HA Proxy, Nginx, RDBMS Experience leveraging monitoring tools such as Splunk, New Relic, Nagios for troubleshooting Experience with AWS and/or Azure stack - particularly in the areas of networking (VPCs, security groups), VMs (EC2), databases (RDS), load balancing (ELB, ALB) Excellent information management practices, such as detailed documentation, usage of wikis, and other collaboration tools Ability to scope project work, estimate effort and then break down work into sub-tasks. Experience developing applications in one or more of the following: Python, Java or Go. Strong comprehension of continuous integration and continuous deployment methodologies. Excellent written and verbal communication skills, demonstrating the ability to effectively convey technical information to both technical and non-technical audiences. Compensation: $60.15 per hour. #36552720

Frontend Engineer We're looking for a Front-End Engineer with exceptional React and Next.js expertise to help us expand our banking platform. You'll transform wireframes and designs into elegant, high-performance interfaces and collaborate closely with backend engineers to deliver seamless user experiences. What You'll Do Implement responsive, accessible, and pixel-perfect UI using React, Next.js, Typescript, HTML5, and CSS. Collaborate with backend teams to integrate APIs and ensure smooth data flow. Optimize performance for complex, interactive features and rich forms. Write unit tests and E2E tests to maintain quality and prevent regressions. Contribute to CI/CD pipelines and advocate for best practices in front-end development. Participate in architectural discussions. What We're Looking For Professional experience building modern web applications with React and Next.js. Strong foundation in Typescript, HTML5, and CSS. Experience with state management (Redux, Context API) and component libraries. Familiarity with AWS is a plus. Bonus: Experience with GraphQL, Tailwind CSS, or microservices architecture. Proven ability to work in agile teams and communicate effectively. Although we have a global team, we would prefer to find someone local to Utah and available to spend some time at our Base Camp in downtown Salt Lake City What Sets You Apart You've led teams or projects and know how to balance technical excellence with collaboration. You're passionate about building scalable, maintainable front-end architectures. You embrace testing and automation as part of your development DNA. You stay ahead of trends in React and modern front-end ecosystems. You thrive in environments where innovation and speed matter-and you make others better by sharing knowledge.

Key Responsibilities: 1. Leadership and Coordination: o Act as the primary point of contact for the onshore client team. o Coordinate and collaborate effectively with offshore delivery teams to ensure seamless project execution. o Provide thought leadership and strategic guidance to the client on ServiceNow best practices and solutions. 2. Technical Expertise: o Design, develop, and implement solutions on the ServiceNow platform, with a specific focus on Configuration Management Database (CMDB) and related modules. o Led efforts to configure, maintain, and optimize the CMDB, ensuring data accuracy, completeness, and compliance with governance standards. o Guide and perform ServiceNow upgrades, including testing, validation, and deployment of new platform releases. o Collaborate with teams to develop workflows, automation, and integrations tailored to client requirements. 3. CMDB and Discovery: o Oversee and manage Discovery and Service Mapping activities to maintain accurate and up-to-date CI data. o Define and implement reconciliation rules, CI classes, and data models to align with business needs. o Troubleshoot and resolve CMDB issues, ensuring alignment with ITIL standards. 4. Project Management: o Lead ServiceNow implementation and enhancement projects, ensuring timely delivery and adherence to quality standards. o Prepare and present project updates, roadmaps, and status reports to client stakeholders. o Manage risk, dependencies, and issues while proactively identifying opportunities for improvement. 5. Stakeholder Management: o Build and maintain strong relationships with client stakeholders, understanding their needs and translating them into actionable deliverables. o Provide training, knowledge transfer, and guidance to client and offshore teams on ServiceNow best practices. 6. Governance and Compliance: o Establish and enforce governance frameworks for CMDB and platform usage. o Ensure adherence to security, compliance, and regulatory standards Key Qualifications: • Experience: o 8+ years of experience in ServiceNow development, implementation, and administration. o Proven track record in managing CMDB, Discovery, and Service Mapping activities. o Significant experience in ServiceNow upgrade activities and platform maintenance. • Technical Skills: o Proficiency in scripting languages (JavaScript, Glide scripting). o Expertise in ServiceNow modules: CMDB, IT Service Management (ITSM), IT Operations Management (ITOM) -- Discovery, Service Mapping. o Knowledge of integration methods (REST/SOAP APIs, MID Server configurations). o Familiarity with ServiceNow reporting and dashboard creation. • Leadership Skills: o Experience in leading teams across onshore and offshore locations. o Strong communication, stakeholder management, and presentation skills. Preferred Qualifications: • ServiceNow certifications: Certified System Administrator (CSA), Certified Implementation Specialist (CIS) in CMDB, ITOM, or other relevant areas • Education: Bachelor's degree in computer science, Information Technology, or a related field.

Key Responsibilities Lead the incremental migration of Node.js services to Python, ensuring stability, compatibility, and reduced technical debt. Define the engineering roadmap, team structure, timelines, and delivery approach in collaboration with the product and engineering leadership. Drive development of new features alongside the migration effort. Bring strong experience in payment systems, payment gateway integrations, and high-compliance environments (e.g., PCI). Provide architectural guidance across Python/React/RDS tech stack. Ensure efficient execution using GenAI-assisted development tools (Cursor, Copilot, Claude, etc.). Required Experience 10+ years of engineering experience with strong Python and modern backend architecture. Proven leadership in payments domain, including gateway integrations. Experience defining and executing engineering roadmaps and leading high-performing teams. Strong understanding of Node.js → Python migrations is preferred. Python/React with AWS RDS (managed relational database services such as PostgreSQL/MySQL). Ability to operate independently and reduce dependency on client-side engineering teams.

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

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems is seeking a Data Scientist - 15993. This position will be located in Roy, Utah and will support the Sentinel program. Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization. Requires strong statistical and data visualization skills. In this role, you will be instrumental in managing, engineering, and analyzing diverse data sets across various business areas. Our team is dedicated to developing a culture of data-driven decision-making and creating business value by utilizing data analytics techniques. You will collaborate with key stakeholders to identify, develop, and deploy data solutions that align with our strategic objectives. The ideal candidate will be entrepreneurial, a self-starter, and capable of challenging the status quo while driving innovation in data engineering solutions. This position provides the chance to apply your expertise in data engineering to projects with significant impact. Responsibilities will include: -The design and construction of scalable data pipelines to integrate various data sources within the defense sector. -Develop and optimize data models and database management systems, working independently and mentoring junior engineers. -Implement and enhance ETL processes and data warehousing solutions to ensure efficient data flow and storage. -Maintain and improve DevOps practices, including version control, automated testing, and continuous integration/deployment for data workflows. -Collaborate with cross-functional teams to gather requirements, translate them into data-driven solutions, and ensure alignment with strategic goals. -Ensure adherence to data security protocols and compliance with industry regulations, demonstrating expertise in best practices. -Engage in continuous learning to stay at the forefront of data engineering trends and technologies. Basic Qualifications: • Bachelor's degree with at least 5 years of relevant experience OR Master's degree in a with at least 3 years of relevant experience, 4 additional years of experience may be used in lieu of a degree. • Must have an active U.S. Government DoD Secret security clearance at time of application, current and within scope, with an ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business need • At least 2 years of experience with Python or Scala for data processing; experience with querying and optimizing large datasets with relational and non-relational databases (e.g., PostgreSQL, MySQL, DynamoDB, or MongoDB). • At least 2 years of experience with data visualization tools such as Tableau for building business decision making dashboards • At least 2 years of experience with Atlassian tools such as Jira and Confluence for work flow management, integrating tools to streamline tracking and enhance collaboration across teams. • At least 2 years of experience with Teamcenter objects and data mechanics and data sharing/collaboration with business systems Preferred Qualifications: • Experience in Product Design Engineering workflow processes for technical teams • Experience with version control systems like Git and CI/CD pipelines (e.g., GitLab CI/CD, Jenkins). • Experience with Microsoft SQL Server for database management, optimization, and querying, alongside experience with other relational and non-relational databases • Technical experience within a Digital Engineering Ecosystem • Experience with demonstrated proficiency in project management of engineering teams. • Proficient in Microsoft Office products, including PowerPoint, Word, and Excel Primary Level Salary Range: $108,200.00 - $162,400.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/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.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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Your work will change lives. Including your own. We are leveraging new technology to create virtuous cycles of learning around datasets to build a next-generation biopharmaceutical company. It's complex biology, decoded. Recursion is a digital biology company industrializing drug discovery. We are working to solve some of the hardest, most meaningful problems facing human health today. Come join us in our mission to decode biology to radically improve lives, while doing the most impactful work of your life. Recursion's Returnship Program Our Returnship program is sponsored by the Women at Recursion Employee Resource Group. The program is aimed at helping those who have taken a hiatus (2+ years) from the STEM industry have the opportunity to return to the workforce in a learning environment with support from teams and mentors. This allows our company to tap into an underutilized pool of talent in Utah, and leverage the experience and skills of previous work and life experiences, while also providing opportunity to learn and develop experience in new cutting-edge tools and technology. This sixteen-week program will enable you to have ownership of projects that can deeply impact the company's mission to radically decode biology and serve patients, while having the guidance, support and mentorship has you re-enter the workforce. Each Returner will be assigned a mentor who will meet with them weekly, as well as weekly seminars on workplace culture, communication and technology. Our returner program lasts 4 months, running from February 2026 through the end of May 2026, with potential for transition into full-time employment depending on performance and availability. This position is mainly based in our Salt Lake City, UT headquarters, with some hybrid working flexibility available. Data Science & Applied Machine Learning Returnship Working alongside Recursion's Nomination Workflows team, you will engage with a cross-functional group having expertise in biology, chemistry, data science, and engineering. This team is responsible for the first two stages of Recursion's drug discovery pipeline, where we generate novel hypotheses and identify promising chemical matter. We accomplish this by building and operating a scalable, semi-automated computational system that mines our data for new & interesting starting points for our discovery portfolio. All work in this team directly contributes to improving the quantity, reliability, quality, and confidence of our early-stage program starting points. Projects on this team include: Program Advancement: Partner closely with biologists and chemists to advance specific early-stage programs through exploratory data analysis and experiment evaluation. Method Development: Analyze and improve our semi-automated evaluation systems through exploratory data analysis, method development, and deployment of new data analysis methods or metrics. Platform Improvements: Maintain, update, and improve our scientific code-bases to harden our systems, improve observability, accelerate development, and enable new capabilities and automations. The Experience You'll Need This role is for individuals who have been on a career hiatus of 2+ years from the STEM industry. We are seeking candidates with a strong foundational background and a passion for learning. A strong foundation in either: applying probability, statistics, and machine learning to real-world datasets developing scientific software, workflow orchestration, or data-engineering Familiarity with the Python data stack (e.g., numpy, pandas, scikit-learn). Prior experience in collaborative software development, including version control tools like git. The ability to critically review python code, whether authored by peers or LLM coding agents. An aptitude for breaking down complex problems into manageable parts and clearly communicating project objectives & progress to a diverse team. Nice to have: Experience analyzing biological or high-dimensional datasets. Familiarity with workflow orchestration systems (e.g., Prefect). Experience accelerating & improving code development with coding agents The Recursion Community While we offer cutting-edge tools, the secret sauce is our people. Our organization structure and culture isn't driven by politics or ego, it is designed first and foremost to help you do your best work. We live and work by values that we see as the strategic differentiators that give us a competitive advantage, allowing for better and faster work that isn't predicated on burnout and encourages us to make leaps where others take steps. This is a place where people in every role and every level make the bold bets that create large leaps forward on a regular basis! The Perks You'll Enjoy as a Returner Recursionaut Paid sick pay and additional flexibility as needed. Complimentary chef-prepared lunches and well-stocked snack bars (Salt Lake City). One-of-a-kind 100,000 square foot headquarters complete with a 70-foot climbing wall, showers, lockers and bike parking (Salt Lake City). Weekly Returners Skill Development Classes. 1:1 Weekly Mentorship with a member of your team and a member of the Returnship ERG. #LI-DB1 The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion 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, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

84604 Job Family: Data Engineering We are seeking a hard-working, innovative, detail-oriented, and creative team player to join our Aptive team! This is a full-time Data Scientist position located in Provo, Utah. This role combines advanced statistical expertise with machine learning, analytics engineering, and business acumen to improve process efficiency, enhance forecasting accuracy, and guide strategic initiatives. What we offer: $100k to $130k Annually, depending on experience Annual Bonus Group Health, Dental, and Vision plans Pet insurance, Life insurance, and EAP benefits 401K with employer match up to 4% Paid holidays and paid time off Opportunity for advancement Upbeat and exciting company culture and much more! Responsibilities include: Develop and refine machine learning models to support forecasting, classification, ranking, or optimization needs across business units Build, maintain, and enhance data pipelines, data models, and automated workflows to ensure reliable and scalable analytics operations Conduct statistical and causal analyses to detect performance trends, identify root causes, and inform operational decision-making Translate ambiguous business questions into analytical frameworks, clearly outlining hypotheses, assumptions, and limitations Identify and correct data biases, including selection bias, survivorship bias, Simpson's paradox, data leakage, and collider bias to ensure analytical integrity Design, execute, and evaluate causal experiments and A/B tests to measure the impact of operational or product changes Develop, monitor, and communicate KPIs that improve visibility into operational performance, resource allocation, and strategic outcomes Prepare and present clear, decision-ready insights to executive leadership and cross-functional partners using visualizations, dashboards, and written summaries Use SQL, Python, and internal data platforms (e.g., Snowflake, Airflow, AWS) to extract, validate, and transform large datasets for analysis and modeling Collaborate with Engineering, Product, Operations, Finance, Marketing, and Strategy teams to align models, data structures, and insights with organizational needs Validate analytical work rigorously, ensuring reproducibility, accuracy, and proper documentation across all models and deliverables Provide guidance on analytical methods, experiment design, and statistical best practices to cross-functional stakeholders Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field; or equivalent practical experience Requirements: 3-5 years in statistical analysis, data science, or related analytical roles with proven experience working with large datasets in business environments Advanced statistical and machine learning expertise, including causal inference, experiment design, model development, and mitigation of common data biases Proficiency in Python, SQL, data pipeline architecture, cloud data tools (e.g., Snowflake, Airflow, AWS), and BI platforms such as Tableau, Sigma, or Domo Strong ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders, supported by exceptional communication and visualization skills Demonstrated analytical rigor, attention to detail, and ability to manage multiple projects while collaborating effectively across cross-functional teams Aptive Pest Control: Aptive Pest Control provides pest control services to 34 states in the US. Co-founded in 2015 by Vess Pearson and David Royce, Aptive launched with the clear intention of becoming a world-recognized brand. In 2021, Aptive was included in Inc. Magazine's “Best in Business” list of companies that make a positive impact. Aptive is also featured on Glassdoor's 2019 list of Top 100 US workplaces and is ranked one of Entrepreneur Magazine's Best Companies in America. We are a proud member of the EPA's Pesticide Environmental Stewardship Program and have partnered with the United Nations Foundation's "United to Beat Malaria" to help stop the spread of malaria transmitted by mosquito bites. *Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please inform your recruiter.

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.

Summary/objective We are seeking a highly skilled Data Scientist to focus on building and deploying predictive models that identify customer churn risk and upsell opportunities. This role will play a key part in driving revenue growth and retention strategies by leveraging advanced machine learning, statistical modeling, and large-scale data capabilities within Databricks. Why Join Us? Be at the forefront of using Databricks AI/ML capabilities to solve real-world business challenges. Directly influence customer retention and revenue growth through applied data science. Work in a collaborative environment where experimentation and innovation are encouraged. Core Job Duties: Model Development * Design, develop, and deploy predictive models for customer churn and upsell propensity using Databricks ML capabilities. * Evaluate and compare algorithms (e.g., logistic regression, gradient boosting, random forest, deep learning) to optimize predictive performance. * Incorporate feature engineering pipelines that leverage customer behavior, transaction history, and product usage data. Data Engineering & Pipeline Ownership * Build and maintain scalable data pipelines in Databricks (using PySpark, Delta Lake, and MLflow) to enable reliable model training and scoring. * Collaborate with data engineers to ensure proper data ingestion, transformation, and governance. Experimentation & Validation * Conduct A/B tests and back testing to validate model effectiveness. * Apply techniques for model monitoring, drift detection, and retraining in production. Business Impact & Storytelling * Translate complex analytical outputs into clear recommendations for business stakeholders. * Partner with Product and Customer Success teams to design strategies that reduce churn, increase upsell and improve customer retention KPIs. Minimum Qualifications: * Master's or PhD in Data Science, Statistics, Computer Science, or related field (or equivalent industry experience). * 3+ years of experience building predictive models in a production environment. * Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL. * Demonstrated expertise using Databricks for: * Data manipulation and distributed processing with PySpark. * Building and managing models with MLflow. * Leveraging Delta Lake for efficient data storage and retrieval. * Implementing scalable ML pipelines within Databricks' ML Runtime. * Experience with feature engineering for behavioral and transactional datasets. * Strong understanding of customer lifecycle analytics, including churn modeling and upsell/recommendation systems. * Ability to communicate results and influence decision-making across technical and non-technical teams. Preferred Qualifications: * Experience with cloud platforms (Azure Databricks, AWS, or GCP). * Familiarity with Unity Catalog for data governance and security. * Knowledge of deep learning frameworks (TensorFlow, PyTorch) within Databricks. * Exposure to MLOps best practices (CI/CD for ML, model versioning, monitoring). * Background in SaaS, subscription-based businesses, or customer analytics. Physical Demands Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds. Travel Required: Limited Work Authorization: Employees must be legally authorized to work in the United States. FLSA Classification: Exempt Location: Any Effective Date: 9/16/2025 About isolved isolved is a provider of human capital management (HCM) solutions that help organizations recruit, retain and elevate their workforce. More than 195,000 employers and 8 million employees rely on isolved's software and services to streamline human resource (HR) operations and deliver employee experiences that matter. isolved People Cloud is a unified yet modular HCM platform with built-in artificial intelligence (AI) and analytics that connects HR, payroll, benefits, and workforce and talent management into a single solution that drives better business outcomes. Through the Sidekick Advantage, isolved also provides expert guidance, embedded services and an engaged community that empowers People Heroes to grow their companies and careers. Learn more at ******************* isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are. Visit ************************** for more information regarding our incredible culture and focus on our employee experience. Visit ************************* for a comprehensive list of our employee total rewards offerings.

Full-time Description The Utah Jazz are looking for a Data Scientist to perform modeling and analysis that will help inform basketball decision-making. We are located in Salt Lake City, but are open to remote candidates (must be legally authorized to work in the United States). DUTIES & RESPONSIBILITIES: Develop and maintain models to better predict basketball outcomes and facilitate better decision-making across Basketball Operations. Perform ad hoc data analysis as necessary to help basketball decision-makers. Interface with all departments within Basketball Operations (scouting, coaching, analytics, sports science) and strive to understand and meet their needs. Identify, research, and implement opportunities for new models, data sources, and basketball analytics techniques. Help maintain and test datasets used to perform analysis. Maintain best practices for software development including test writing, documentation, and adherence to and improvement of coding standards. Protect the reputation of the company. Exemplify the Utah Jazz mission and values: transparent, all in, community obsessed, one team, and scrappy. Accept other duties, as assigned. COMPETENCIES: Communicates Effectively - Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. Demonstrates Self-awareness - Uses a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses. QUALIFICATIONS: Bachelor's in Statistics, Data Science, Math or equivalent experience. 2+ years of experience analyzing data and training statistical models in a production environment using Python or R. 2+ years of experience with basketball data and the latest basketball analytics techniques. 2+ years of experience with data visualization. Expertise in statistics fundamentals and state-of-the-art predictive modeling techniques. A desire to work in a startup-like environment where you will be empowered to make design decisions. A track record of writing clean and well-documented code. Enthusiasm for basketball. Nice to have experience with MLOps. Nice to have experience with SQL. Nice to have experience with data engineering. Must be legally authorized to work in the United States. PHYSICAL DEMANDS: This person must be able to communicate and express themselves both written and verbally. This person must be able to observe, inspect, estimate, and assess. This person must be able to sit for long periods of time. The Utah Jazz provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. 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 an accommodation. Note: The need may arise to revise, supplement, or rescind portions of this , and Utah Jazz reserves the right to do so at any time. Employees shall be required to meet the qualifications and perform the duties of any revised job description.

+ 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.

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

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.