Data Scientist Jobs in Bountiful, UT

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **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 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 expected base salary for this position ranges from $140,000 to $200,000. 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. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _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.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, 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 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 (Technical Leadership) 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. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 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. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **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.

At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team. Tagup's AI software directly controls large scale industrial equipment and logistics systems, ensuring our customers are running optimally. We are currently looking for a Data Scientist to join our growing team. In this position, the Data Scientist will work closely with our deployments team to deliver cutting-edge analytics/software solutions to our customers. Specifically, the Data Scientist will be responsible for understanding specific problem domains in depth, ingesting customer-specific data, building tailored ML models for a given domains, and evaluating the impact of these models. ResponsibilitiesDevelop and deploy analytic models on industrial data Integrate new data sources into our data pipeline Validate model performance and quantify value creation potential Co-author technical reports on data analysis and model performance Work with customers to understand new data sources and the processes they support (this will likely involve travel) Desired Skills2+ years of data science work experience (relevant academic experience will also be considered) Deep experience with Python and the PyData stack Experience iterating on data-driven products and features based on both internal and customer feedback Experience working with very large datasets Bonus PointsExperience with PyTorch and/or PyroFamiliarity with KubernetesFamiliarity with Weights and BiasesBackground in variational inference, Gaussian processes, hidden Markov models, and/or time series analysis.Direct experience working with enterprise customers $90,000 - $135,000 a year We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions. As a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings! Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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. Job Description As a Data Scientist on Strider's Engineering team, your job is to research and develop new data solutions, scale existing data applications, and bend Strider's data strategies to accomplish many goals within a growing startup. We're looking for someone with expertise in statistical modeling who is deeply curious and demonstrates a proven ability to build data solutions from scratch. What you will do: Dig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or get lost on problems we didn't even know existed. Transform analytics to insights, applying critical business thinking and creative data solutions toward vaguely defined problems. Develop needed technical and analytical skills to introduce new data and or product capabilities to accelerate Strider's larger mission; leveraging Python, SQL, R, and or other data languages. Collaborate with subject matter experts to deliver value to Strider's growing list of clients. Establish and uphold a data-driven culture for a small but growing team within Strider's Engineering function What you will need to be successful: 3+ years of experience in data science and or analytics. An MS or BS in a quantitative field (e.g. Economics, Statistics, Engineering) Functional knowledge of Python, SQL, R or other comparable languages. Experience with Elasticsearch is preferred but not required. Ability to work alongside a team of engineers and subject matter experts to determine effective and time-efficient solutions. Ability to independently manage deliverables and ruthlessly prioritize your work. A rigorous approach towards data quality and cultivating trust with clients, internally and externally. Why join this team: We are geo-distributed and deeply respect-focused work. Wednesdays are distraction-free days and Fridays tend to be the same. Getting work done matters, not meetings and status updates. Most of the data and tools we need to succeed likely don't exist yet. You are empowered to dream big, think outside the box, and generally explore new territory. You'll get daily interactions with all functions and levels of Strider, providing endless opportunities to advance your career. And finally, we revel in learning new things, be it technical languages, spoken languages, or other topics. There is infinite space at Strider to pursue your interests to further yourself, the team, or Strider as a whole. Benefits Competitive Compensation Company Equity Options Flexible PTO Wellness Reimbursement US Holidays (Office Closed) Paid Parental Leave Comprehensive Medical, Dental, and Vision Insurance 401(k) Plan 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.

Job Level: Intermediate to Senior-Level Shift: Full-Time Compensation: $180,000 - $200,000 DOE Benefits: Full-time employees are eligible for Health, Dental, Vision, & Life and Accident insurance, an HSA Savings Account, and the opportunity to receive stock options. Relocation Assistance: A relocation bonus of up to $10,000 is available to support your move to Orem, UT. Company Overview: Complete Solar is a residential solar company dedicated to making clean, renewable energy accessible and affordable for everyone. As climate change continues to impact our world, we focus on creating a brighter, more sustainable future for both people and the planet. We sell directly to consumers and provide a seamless experience from sales and installation to financing and ongoing support. At Complete Solar, we are a value-driven organization that strives to develop a high-trust culture, operate efficiently, and continuously improve. If that sounds like something you want to be a part of, apply today! Join us in revolutionizing the solar industry and building a greener tomorrow. Position Summary: As an AI Data Scientist, you will work with a cross-functional team to design and implement machine learning and AI solutions that drive automation, optimization, and decision-making. You will build and enhance models using advanced algorithms, leverage large datasets, and improve operational workflows across the organization. Your role will focus on researching and developing AI systems that have a real impact on business processes and deliver results. Essential Duties: * As part of the AI Team, you will be doing Research to AI model development including data procuring and analysis, prototyping, testing, and deployment * Strategizing in tight collaboration with leadership. Working closely with product designers to apply AI/ML to create features, collaborate with data engineers for data acquisition from Enphase Digital Platform Products, collaborate with infrastructure engineers to deploy and model pipelines * Writing production-level, re-usable, easy-to-interpret code in Python(required), or other languages, while engaging in collaborative code reviews, and providing technical feedback to improve existing ML model performance * Establish a scalable, efficient, automated processes for large scale data analysis, model development, model validation, and model implementation Minimum Qualifications: * B.Tech/MTech in Computer Science or Electrical /Electronics Engineering from top tier college and >70% marks * PhD or Research work experience in AI / ML streams will be an added advantage * 8+ years of solid experience in developing and deploying AI/ML-based applications. * Solid understanding of linear algebra, algorithms, machine learning, optimization, numerical methods * Experience with regression, classification, recommendations, anomaly detection, deep learning algorithms * Excellent Python coding, strong engineering practices, debugging/profiling skills, familiarity with multi-threaded programming * Experience with data science tools including Python scripting, NumPy, SciPy, Matplotlib, scikit-learn, Jupyter Notebooks, Bash Scripting, Linux Environment. * Knowledge and experience in neural network computation optimization, such as distributed training, and network quantization * Leverage data and rigorous analytical methods to drive strategic energy-related data and ML systems * Experience with at least one mainstream deep learning framework such as TensorFlow, PyTorch, Caffe(2), MXNet * Experience with implementing production-ready data science platforms and systems * Exposure or knowledge of Renewable Tech companies * Familiarity with Web Front End (JavaScript/React/Angular) and Mobile App Development. * Familiar with working with any embedded or telecom or hardware product is desirable * Ability to work in a fast-paced environment * Experience with IoT-based systems preferred * Demonstrable proficiency in writing clean and concise code in Python * Ability to understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML. Preferred Qualifications: * Ph.D. in Computer Science, Data Science, or a related field. * Experience with natural language processing (NLP), computer vision, or reinforcement learning. * Familiarity with the solar industry or renewable energy sectors is a plus. * A portfolio of published research papers, open-source contributions, or advanced AI projects.

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

Are you looking for a career-defining challenge working on building AI and physic-inspired tools for autonomous control building solutions? PassiveLogic is the first fully autonomous platform for buildings. We've reinvented the fundamental principles of automation to democratize technology, optimize buildings, and reduce the world's carbon footprint. We are a team of technologists, engineers, and creatives dedicated to making a sustainable impact through real-world solutions. We are looking for team members who have a passion for technology and want to work on cutting-edge problems with real-world solutions. Our culture is built on bringing together the most talented engineers, thinkers, and creatives-backed by the world's leading investors-working together to make the future a reality. About the Role This is a career-defining opportunity to play a crucial role in a hyper-scale AI company that is transforming the future of autonomous systems, energy, and the built environment. As an AI Benchmark Architect, you will play a foundational role in our Qortex team, focusing on applying advanced analytics to identify best practices for various neural net and knowledge graph models that can improve our generative models and RAG algorithms for building performance, occupant comfort, and sensing algorithms. What you'll do Performance Metrics Design and Analysis: Ability to define and interpret key performance indicators (KPIs) for autonomous systems, such as accuracy, latency, robustness, and efficiency. Expertise in designing meaningful benchmarks that evaluate real-world performance. Data Collection and Management: Acquire and manage a variety of data including sensors and control data from PassiveLogic's deployed Hive Controller systems, and virtual data from the simulation environment. Data Analysis: Conduct an in-depth analysis of the collected data, identifying patterns, insights, and anomalies that can influence the system's performance. Collaborate with the Formal Methods team to provide refinement ideas to automate the physical and statistical-based testing of our systems and algorithms in simulated and deployed buildings. Design a contribution roadmap to open source, develop, and maintain datasets: Create evaluation metrics that measure the performance and fairness of AI models across diverse tasks. They ensure that benchmarks are comprehensive, reproducible, and aligned with real-world applications while actively collaborating with the open-source community to promote transparency, inclusivity, and innovation. Presentation of Findings: Communicate complex data findings to technical and non-technical stakeholders, including creating visualizations, reports, and presentations. What you'll bring If your experience does not meet all our posted requirements below, we'd still love to hear from you. We are looking for practitioners who are passionate about understanding people, committed to lifelong learning, and driven by the love of what they do. If that's you, please apply! You must have Proven experience: MS/PhD in Data Science, Computer Science, Mechanical/Electrical Engineering, Civil Engineering, or equivalent experience. Strong statistical analysis skills and experience with machine learning techniques Proficiency in programming languages (Python, C++, Swift, Rust, etc) Exceptional Communication Skills: Demonstrates the ability to effectively articulate complex technical concepts related to deploying autonomous systems and advanced programming in Swift. Excels at translating technical features into compelling narratives that resonate with both technical and non-technical audiences. Organized and Strategic: Skilled in planning and executing the deployment of autonomous systems with precision, ensuring all aspects-from system integration to scalability-are managed with a high level of attention to detail. Collaborative Mindset: Thrives in team environments, working closely across disciplines to align strategies for system deployment, programming, and sustainable design with overarching project and organizational goals. Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate. Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up. You should have Understanding of the built environment and cyber-physical systems: Demonstrate a strong knowledge of how physical infrastructure integrates with digital technologies, enabling the creation of intelligent and adaptive systems. Experience with validation frameworks for autonomous systems: Proven ability to design and implement robust validation frameworks to ensure the reliability and performance of autonomous systems across diverse conditions. Proficiency in reasoning and inferencing: Skilled in applying advanced reasoning and inferencing techniques to enhance decision-making processes and optimize system intelligence. Experience with relational databases: Demonstrated experience in managing and optimizing relational databases like PostgreSQL and MySQL to efficiently store, retrieve, and analyze complex datasets. Familiarity with building energy modeling software: Knowledgeable in tools such as EnergyPlus, Modelica, and IES, leveraging them to simulate and optimize building energy performance and sustainability. It's helpful to have Experience in deploying autonomous systems: Demonstrated expertise in implementing and integrating autonomous systems, ensuring reliable performance, scalability, and seamless functionality across diverse environments. Proficiency with Swift programming language: Skilled in utilizing Swift to design, develop, and optimize software applications, leveraging its advanced features to deliver efficient and scalable solutions. Solid understanding of building physics and HVAC systems: Comprehensive knowledge of building physics, including heat transfer and HVAC systems, enabling the creation of energy-efficient and sustainable designs tailored to complex operational requirements. We know there are candidates who might not fit everything we've described above, or who might have experience and skills we haven't considered. PassiveLogic can sometimes be flexible enough to shift responsibilities to the right person, or otherwise identify open or upcoming roles that may better fit your professional background. Even if you don't meet all the requirements above, we still want to hear from you. Compensation, Benefits & Perks: Competitive compensation Generous equity share package Medical, dental and vision coverage Disability and life Insurance options Flex PTO Team-building events Free catered lunch in the office Monday - Friday Free ski pass (We are at the base of Big Cottonwood Canyon) Free National Park pass When applying, include: A cover letter telling us why you're the perfect candidate for PassiveLogic A resume Extra mile - include a description of a project (of any type) you personally created, devised, built, managed, organized, or designed that was of your own self-initiative Diversity and inclusion Diversity, inclusion, and belonging is woven into our values and everything we do. We welcome all-come as you are and bring your whole self. We are proud to be an Equal Opportunity Employer. We celebrate diversity every day by maintaining a safe and inclusive environment for our employees at every stage of their careers.

About Reputation Reputation has changed the way companies improve their customer experience through feedback. Based in Silicon Valley and founded in 2013, Reputation is the global leader in reputation experience management. With its SaaS platform, Reputation technology has managed tens of millions of consumer reviews and consumer interactions across hundreds of thousands of online points of presence for global companies spanning nearly every industry vertical. Reputation was ranked for the second year in a row in G2's Top 100 Best Software list for 2022 as a part of its annual Best Software Awards. Recently, Reputation was named to the Forrester Wave For Customer Feedback management platforms and was recognized by Forrester as one of the most significant social suite vendors. Additionally, Gartner named Reputation to the 2021 Gartner Magic Quadrant for Voice of the Customer. Why work at Reputation? Reputation reached over $100m in Annual Recurring Revenue (ARR) in 2022 and continues to grow worldwide. We've raised over $200 million in funding from A-list venture capital firms such as Bessemer Venture Partner and Kleiner Perkins, including $150 million in equity financing from Marlin Equity Partners in January 2022. Reputation is trusted by more than 250 partners, including Google, Facebook, Salesforce, J.D. Power, Amazon and Web.com. Our industry leading platform has been recognized by Forrester and Gartner as a vendor of choice in Voice of the Customer, Customer Feedback Management, and Social Suites research reports. The platform is used by 10+ major automotive OEMs and 16,000 auto dealerships, more than 250 healthcare systems, and over 100 leading property management firms. Our executive management team is committed to building a performance-based culture where excellence is rewarded and careers are developed. Who thrives at Reputation? Managers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck. Our Mission: We exist to forge relationships between companies and communities. Reputation.com is the leader in Online Reputation Management, and our mission is to sort through the vast amounts of information about our customers represented in surveys, reviews, and other sources and derive actionable insights and tangible business results for our customers. As a Principal Data Scientist, you will be at the center of this mission. We want you to develop the best algorithms to extract insights from that corpus of customer feedback, build the best models to measure the value of those insights, and lead the way in creating data products out of these models. Principal Data Scientist Responsibilities: Lead and own multiple core models, overseeing their entire lifecycle from understanding complex business needs, to precise problem formulation, advanced modeling, prototyping, and ensuring successful production deployment. Experience developing Saas products using ML/AI is preferred. Strategically collaborate with cross-functional teams, including product, engineering, operations, marketing, and sales, to identify and unlock transformative opportunities for sustained growth and innovation. Drive the application of advanced machine learning algorithms and sophisticated statistical techniques to create and enhance cutting-edge product features. Provide mentorship and guidance to data science team members, fostering a culture of continuous learning and development. Engage in high-level strategic planning and contribute to the company's data-driven decision-making framework. Additional responsibilities as required, commensurate with a leadership role. Qualifications: At least 8 years of progressive experience in data science, with substantial responsibilities in leadership and strategic oversight. Proven ability to integrate feedback from a range of stakeholders-including Product Managers, Engineers, clients, and senior executives-to shape and deliver sophisticated, impactful models and data products. Capable of developing and maintaining a comprehensive strategic roadmap. Demonstrated expertise in using data to address complex problems, driving actionable insights and solutions. An advanced degree (PhD preferred) in Data Science, Analytics, Operations Research, Statistics, or a closely related field. Expertise in machine learning and Large Language Models (LLMs), including prompt engineering, fine-tuning, and model evaluation. Experience building production-ready AI applications and implementing LLM-powered solutions. Proficiency in NLP techniques, vector embeddings, and context window optimization. Strong knowledge of stochastic modeling and predictive analytics is also required. Exceptional communication skills, with the ability to convey complex model insights clearly and concisely to technical and non-technical stakeholders at all levels. Advanced proficiency in Python, R, or similar languages, and mastery of related machine learning packages. Strong SQL skills and experience with data visualization tools. Strong leadership abilities, demonstrated through team management and project leadership in complex, innovative environments. When you join Reputation, you can expect: Flexible working arrangements. Career growth with paid training tuition opportunities. Active Employee Resource Groups (ERGs) to engage with. An equitable work environment. Our employees say it best: Our employees highlight our: Ample Opportunities - “There are many opportunities to learn and grow. Many open roles are replaced with internal promotions.” Positive Culture - "Great opportunity and exceptional culture." “You will never have a better culture anywhere else. Period.” Training and Tools - “All managers truly want you to succeed, and you are given great tools and training to be successful in your role.” Balance - “Great work life balance and awesome team environment!” Diversity Programs & Initiatives: Our Reputation Nation spans around the world. This global perspective allows us to intentionally unlock the magic that comes from diversity of experience to contribute to our success. At Reputation, we believe in: Diversity: Reputation facilitates a culture where people bring their diverse backgrounds, life experiences and identifications together to achieve our company objectives and contribute their unique perspectives for the betterment of our company, our customers and our people. Equity: Reputation believes in treating every employee fairly. We are committed to ensuring that all employees have fair and equal access and opportunity for advancement. Inclusion: Reputation believes in creating an environment where employees feel comfortable bringing their whole self to work. We believe feedback fuels progress and we ensure that all voices are able to contribute, provide feedback, and make a difference. Belonging: Our culture is one that values collaboration, teamwork, and engagement to ensure that all of our employees across the world know that as part of the Reputation Nation, they are part of something bigger than themselves. We recognize that a culture of belonging cannot exist without a strong foundation of diversity, equity, and inclusion in place. "At Reputation, we see diversity and inclusion as the foundation for an equitable workplace. Our goal is to empower all of our employees, regardless of their background, to make an impact in their work each and every day." - Joe Burton, CEO, Reputation Additionally, we offer a variety of benefits and perks, such as: Flexible PTO Paid company holidays 4 company provided, “Recharge Days,” which are wellness days off for the entire company Several active Employee Resource Groups (ERGs) to help foster inclusion and community Employee Assistance Program Access to a wide variety of unique perks and apps: PerkSpot Wellhub (Gym Pass) Carrot Fertility Omada Ladder SoFi Fetch Pet Insurance Calm for Kaiser Spring Health for Guardian XP Health for Guardian (virtual eye-wear platform) 401k Health, dental and vision insurance Paid maternity leave Employer paid short and long term disability and life insurance We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To learn more about how we handle the personal data of applicants, visit our Candidate Privacy Notice. Applicants only - No 3rd party agency candidates.

General Atomics Integrated Intelligence, Inc. (GA-I3), an affiliate of General Atomics, was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in! GA-I3 is seeking Data Scientists to join our core product team, shaping the future of situational awareness capabilities for our customers. Our teams leverage cutting-edge technology to process petabytes of data and extract features in near real time, all while providing a rich, live view of objects on land, sea, and sky. Join our growing team in taking our systems to the next level, giving end-users the power to see beyond the data and truly understand the world around them. DUTIES AND RESPONSIBILITIES: Design, develop and program methods that integrate to systems that consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches. Communicate insights and findings from analysis and experiments to product, service, and business managers. Identify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements. Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner. Interact with product and service teams to identify questions and issues for data analysis and experiments. Document findings for business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication. Represent the organization as a contact with internal and external representatives. Maintain the strict confidentiality of sensitive information. Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; nine or more years of experience with a bachelor's degree, seven or more years of experience with a master's degree, or four or more years with a PhD. May substitute equivalent experience in lieu of education. Willing to obtain Top Secret/SCI clearance with CI Poly Must have a general understanding of software development concepts, principles, and theory and demonstrate the ability to follow and apply the use of programming and analysis concepts. Must be able to work both independently and in a team environment. Able to work extended hours as required. PREFERRED SKILLS AND EXPERIENCE: Active TS/SCI Clearance with CI Poly Prior experience with gym , Unity, Unreal, or some other simulation environments Researched or applied autonomy in a highly-latent, low-bandwidth, or otherwise resource constrained environment Trained deep reinforcement learning algorithms for coordination of multiple, autonomous goals Performed nonlinear optimization for resource allocation with dynamic uncertainty and/or non-observable variables Prior experience in domains/industries like: robotics, space mission planning, large industrial facility automation, robust and resilient communications Familiarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc) Proficiency in one or more of: Python, C++, Java, R, Julia, Matlab Ability to understand and implement new models from the literature Experience with geospatial data and analytics. Familiarity with Intelligence Community and DoD mission sets.

Task Force Talent is seeking senior-level data scientists (multiple openings) for a very well-funded Series B company working on insider threat and supply chain security problems. We have an extremely good relationship with this client and work directly with the CTO, who has started several companies and had multiple successful exits, including an IPO. We have placed quite a few engineers at this firm over the last year, and everyone we have placed is extremely happy. (Even those who did not get an offer were left with very positive impressions.) Target salary range is 120k to 250k+ as well as equity; comp packages depend on experience level and location. (Note: At $170k base salary or above, generally candidates need 5+ years of experience and a very strong interview.) The company is profitable and growing fast with approximately 100+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT. The work environment is hybrid, typically 3 days/week in the office so people know each other, but those hours are flexible to accommodate family/childcare and traffic. The benefits are great and include: Company Equity Options and 401(k) Plan Unlimited PTO and Wellness Reimbursement U.S. Holidays Paid Parental Leave Comprehensive Insurance (Medical, Dental, and Vision) This company is completely private sector, no security clearance required. However, employment is open to U.S. citizens only at this time. If you apply but this company is not a fit, we will consider you for other available positions as well. Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: ***************************************** (Terms and conditions apply.) _______________________________________________________________________________________________________________________________________________ Qualifications U.S. Citizen Any scientific or engineering background with strong software skills and experience Comfortable and experienced with coding (Python, SQL, R, etc.), statistical models, and data challenges. Note: These data science positions have significant coding components. To be competitive in the technical interviews, candidate experience should extend beyond building dashboards. Experience creating and implementing methods for production processing environment Solid teamwork, time management, and collaboration skills 5+ years experience BONUS: Foreign language fluency, particularly languages associated with threat actors ______________________________________________________________________________________________________________________________________ Interview Process This company typically has a phone screen, followed by a take-home coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks. _____________________________________________________________________________________________________________________________________ About us: Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you! If you don't see the perfect fit, simply use our general application at: ****************************************************************************************

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). **What You'll Do** Staff Data Scientist will be responsible for: + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff + Mentoring junior data scientists on the team **Your Skills & Abilities (Required Qualifications)** + Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field + Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus + Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages + Experience withcloud compute platforms such as Azure with Databricks experience being especially valuable + 10+ years of experience as a Data Scientist or in a related role,developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA) + Prior experience with CRM, paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Compensation: + The expected base compensation for this role is: $160,200- $285,300. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. 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. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .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.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

At TDW we put people first - that means working everyday to ensure the pipelines that run through our communities are operating safely and reliably. What sets us apart is our expertise, experience and commitment. Each day we dedicate ourselves to treating each other, our customers and our community with care and respect. In-Line Inspection senior data scientist. Responsible for the models used in detection, identification, classification, and regression of pipeline features. Prototypes new methodologies and improves on old ones to ensure TDW remains a trusted pipeline services provider. Responsible for the design/development, modification, and implementation of models for detection, identification, classification, and regression. Key Responsibilities Primary duties may include, but are not limited to: Meet with stakeholders to define solutions Collaborate heavily with other Data Scientists, Software, Mechanical, Electrical, Operations, and other departments to creates solutions to Inline-Inspection problems Design, build and deploy software in a production environment Direct and collaborate on problems of varying complexity with support from other engineers Development of models/software from: research, concept, design, unit testing, code reviews, to life cycle support Propose and implement performance optimizations and scaling strategies Review existing models and propose improvements Requires annotation, cleaning, and technical support for any related data utilized while developing software/models Estimate development durations and meet deadlines Plan and track projects using Agile methodology and designated project software Represent TDW at industry events Experience Bachelor's degree in Statistics, Physics, Applied Mathematics, Data Science, Computer Science or related field or equivalent industry experience 5-10 years experience with object-oriented programming, test driven development, and software development life cycle 0-3 years experience with MS Visual Studio development environment 0-3 years experience with C++ 5-10 years experience with Python 5-10 years experience with Regression Analysis 5-10 years experience with Signal Processing 5-10 years experience with Machine Learning Models for detection/classification Knowledge, Skills, and Abilities Good Customer Service Skills Excellent verbal and written communication skills Experience with Python, specifically PyTorch, Tensorflow, Boost, Neural Networks, and/or Scikit-learn Firm grasp of data visualization of signal/sensor (non-tabular) data Filtering/Signal Processing as well as simulation of signal data is preferred Understanding of In-Line Inspection Technologies, such as EMAT or Ultrasonic is preferred

Welcome to Resideo, where we're on a mission to transform homes into intelligent, efficient, and secure living spaces through the power of IoT-connected devices. As a Senior Data Scientist on our Home Analytics team, you'll play a pivotal role in extracting actionable insights from complex time-series data, making a direct impact on the comfort and safety of homes worldwide. As part of this initiative, we are looking for a Senior Data Scientist to help lead our LifeWhere product through the adoption of state-of-the-art ML methods that improve monitoring accuracy while delivering metrics and intelligence for program operation at scale. You will collaborate with a team of experts to develop predictive models and algorithms that drive innovation in connected home IoT devices. Success in this role comes from marrying a strong data science background with product and business acumen to deliver scalable data products to our internal and external customers. **JOB DUTIES:** + Analyze and interpret complex time series data from connected HVAC systems to build cutting-edge metrics of HVAC performance, generate insights, and create value for our network of pros and homeowners using our IoT solution + Develop methodologies and experiments to continuously improve predictive and machine learning algorithms + Help develop end-to-end process machine learning solutions to support program growth and expansion goals + Working with cross-functional teams, including Product Managers and Software Engineers, identify critical business problems and develop solutions to support data-driven business decisions + Work to democratize data by building and socializing decision tools (e.g., reports, data products, dashboards) **YOU MUST HAVE:** + 8+ years of related industry experience + Experience using Python, R, etc. working with (preferably) time-series data to support data analysis, visualization, exploratory data analysis, feature generation, and model fitting (in addition to other common analysis activities common to machine learning) + Expert in at least one programming language for data analysis (e.g., Python, R), experience with SQL a plus + Strong foundational knowledge in project management with the ability to work in a fast-paced, high-visibility environment + Industry experience with developing and applying machine learning and statistical modeling in at least one of the following categories: Anomaly detection, Image processing (e.g. convolutional neural networks, auto-encoders), or time-series methods **WE VALUE:** + Experience working with Apache Spark (preferably PySpark) + Familiarity with modern ML frameworks and libraries including, deep-learning (e.g., TensorFlow, Keras, or PyTorch), Scikit-learn, Numpy, Pandas, and MLFlow. + Experience with HVAC systems or related industrial applications + Knowledge and experience with Databricks, Jupyter notebooks, Git, AWS or Azure cloud environments + Detail oriented and willing to learn new skills and tools + Experience working with cross-functional teams and an ability to communicate clearly and effectively to technical and non-technical audiences + A continuous learning mindset with a willingness to stay updated with the latest trends and technologies in data science and machine learning. **WHAT'S IN IT FOR YOU:** + Life and health insurance + Life assistance program + Tuition Reimbursement + Retirement plan (Immediate eligibility for 401K) + Vacation & holidays (Enjoy work-life balance) \#LI-EP1 \#LI-Hybrid Resideo is a leading global provider of critical comfort and security solutions primarily in residential environments and distributor of low-voltage electronic and security products. Building on a 130-year heritage, Resideo has a presence in more than 150 million homes, with 15 million systems installed in homes each year. We continue to serve more than 110,000 professionals through leading distributors, including our ADI Global Distribution business, which exports to more than 100 countries from more than 200 stocking locations around the world. Resideo is a $5.0 billion company with approximately 13,000 global employees. For more information about Resideo, please visit http%3A%2F%2F******************* At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the ****************************************************************************************************************************************************** If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

At Podium, our mission is to arm every local business with a complete platform and outcome-driven AI employees that convert leads into real, paying customers. Every day, millions of workers use our AI lead conversion and communication platform to help them get more leads and make more money. Our work and focus on helping local businesses thrive has been recognized across the industry, including Forbes' Next Billion Dollar Startups, Forbes' Cloud 100, the Inc. 5000, and Fast Company's World's Most Innovative Companies. At Podium, we believe in fostering a culture that thrives on hiring and developing exceptional talent. Our operating principles serve as a compass, guiding daily behavior and decision-making, and ensure we hire people who will thrive at Podium. If you resonate with our operating principles and are energized by our mission, Podium will be a great place for you! Podium's Analytics and Data Science team generates insights that shape the future of our products, operations, and customer relationships. We are seeking a highly motivated and analytically adept Data Scientist with strong statistical foundations to join our team. In this role, you will collaborate closely with cross-functional teams, and use your advanced analytical expertise to uncover valuable insights from complex datasets. You'll develop analytical models used to create actionable strategies that contribute to our overall business growth. What you will be doing: Work closely with internal business stakeholders, leveraging statistical and analytical concepts to answer key business questions pertaining, but not limited to: customer churn, clustering customers, and other machine learning projects. Be able to assess when questions can be answered quickly with simple analysis versus needing to build out more robust analysis solutions. Researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues. Attacking Podium's most critical business problems, identifying solutions, and partnering with technical and operational teams to create business value Synthesizing large volumes of data from various sources to develop targeted insights using repeatable and scalable techniques Examples of Potential Projects Using complex finance and product data, create analytical models to identify which customers are at risk of churning Leverage LLMs as necessary to analyze unstructured text data Provide insights around product usage, so we can help our customers more effectively use our product What you should have: 4+ years of relevant experience with a Masters degree in data science, statistics or related field. 2+ years of relevant experience in BizOps, product, customer analytics,, or any other related field. On the job experience working within data science capacity within a fast-paced and complex business setting. Proven ability to convert data to insight and communicate why it matters, both verbally and in writing. Extensive experience working on strategy or full-life cycle data science with tech/programming languages such as Python, R, git, DBT, Databricks/Snowflake. Expert understanding of SQL and core statistical concepts. BENEFITS Open and transparent culture Life insurance, long and short-term disability coverage Paid maternity and paternity leave Fertility Benefits Generous vacation time, plus three 4-day summer holiday weekends Excellent medical, dental, and vision benefits 401k Plan with competitive company matching Bi-annual swag drops with cool Podium gear and apparel A stellar HQ (Utah) gym with local professional coaches and classes offered Onsite HQ (Utah) child care center, subsidized for employees Additional benefits for fully remote employees Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

At TDW we put people first - that means working everyday to ensure the pipelines that run through our communities are operating safely and reliably. What sets us apart is our expertise, experience and commitment. Each day we dedicate ourselves to treating each other, our customers and our community with care and respect. In-Line Inspection senior data scientist. Responsible for the models used in detection, identification, classification, and regression of pipeline features. Prototypes new methodologies and improves on old ones to ensure TDW remains a trusted pipeline services provider. Responsible for the design/development, modification, and implementation of models for detection, identification, classification, and regression. Key Responsibilities Primary duties may include, but are not limited to: Meet with stakeholders to define solutions Collaborate heavily with other Data Scientists, Software, Mechanical, Electrical, Operations, and other departments to creates solutions to Inline-Inspection problems Design, build and deploy software in a production environment Direct and collaborate on problems of varying complexity with support from other engineers Development of models/software from: research, concept, design, unit testing, code reviews, to life cycle support Propose and implement performance optimizations and scaling strategies Review existing models and propose improvements Requires annotation, cleaning, and technical support for any related data utilized while developing software/models Estimate development durations and meet deadlines Plan and track projects using Agile methodology and designated project software Represent TDW at industry events Experience Bachelor's degree in Statistics, Physics, Applied Mathematics, Data Science, Computer Science or related field or equivalent industry experience 5-10 years experience with object-oriented programming, test driven development, and software development life cycle 0-3 years experience with MS Visual Studio development environment 0-3 years experience with C++ 5-10 years experience with Python 5-10 years experience with Regression Analysis 5-10 years experience with Signal Processing 5-10 years experience with Machine Learning Models for detection/classification Knowledge, Skills, and Abilities Good Customer Service Skills Excellent verbal and written communication skills Experience with Python, specifically PyTorch, Tensorflow, Boost, Neural Networks, and/or Scikit-learn Firm grasp of data visualization of signal/sensor (non-tabular) data Filtering/Signal Processing as well as simulation of signal data is preferred Understanding of In-Line Inspection Technologies, such as EMAT or Ultrasonic is preferred

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future. Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes. Summary: The Product Analytics team at Vivint partners with stakeholders across the organization to provide meaningful insight into our products and our customers. We are in an exciting space as we try to understand how people interact with their homes from security and sensors, to lighting and computer vision our team reaches across the organization to provide understanding and insights. We are seeking a talented Senior Data Scientist to lead our efforts in optimizing and advancing our data-driven initiatives. The ideal candidate will play a pivotal role in leveraging data-driven insights to enhance the performance, reliability, and scalability of our systems. As a Senior Data Scientist, you will collaborate closely with cross-functional teams to develop and deploy advanced analytics solutions, drive strategic decision-making, and shape the future of energy management. Primary Responsibilities: Translate difficult business problem statements into analytical modeling requirements and maintain high bar throughout the execution. Conduct exploratory data analysis to uncover insights and trends that drive business value. Collaborate with engineering teams to deploy scalable solutions and integrate analytics into existing systems. Communicate findings and recommendations to stakeholders through clear and compelling visualizations, reports, and presentations. Work closely with product managers and stakeholders to understand business requirements, prioritize projects, and deliver actionable recommendations. Required Skills: Experience with timestamped event data and common data transformations. Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Energy or other fields Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and dashboarding platforms. Highly analytical with strong, demonstrated problem solving and critical thinking capabilities An understanding of statistical analysis. Proficient in Python and the associated ML / Data science frameworks Experience with Advanced Data Models / ML Experience with A/B Testing Proven ability to work across teams and roles Nice to Have Skills: Knowledge of text analytics and natural language processing (NLP) techniques. Experience working with large language models (LLMs) and their applications in data analysis and decision support systems. Required Education/Experience: Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience. 5+ years work experience. Learn about the Vivint Culture and why it's a great place to grow your career! Here are some highlighted perks you should ask us about: Free daily lunch and drinks on site Paid holidays and flexible paid time away Employee/Friends/Family Discounts Onsite health clinic, gym, gaming tables Medical/dental/vision/life coverage & 24/7 Medical Hotline 401(k) + Employer Match Employee Resource Groups WORKING CONDITIONS: This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. SAFETY: Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employees must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. Official description on file with Talent.

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future. Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes. **Summary:** The Product Analytics team at Vivint partners with stakeholders across the organization to provide meaningful insight into our products and our customers. We are in an exciting space as we try to understand how people interact with their homes from security and sensors, to lighting and computer vision our team reaches across the organization to provide understanding and insights. We are seeking a talented Senior Data Scientist to lead our efforts in optimizing and advancing our data-driven initiatives. The ideal candidate will play a pivotal role in leveraging data-driven insights to enhance the performance, reliability, and scalability of our systems. As a Senior Data Scientist, you will collaborate closely with cross-functional teams to develop and deploy advanced analytics solutions, drive strategic decision-making, and shape the future of energy management. **Primary Responsibilities:** + Translate difficult business problem statements into analytical modeling requirements and maintain high bar throughout the execution. + Conduct exploratory data analysis to uncover insights and trends that drive business value. + Collaborate with engineering teams to deploy scalable solutions and integrate analytics into existing systems. + Communicate findings and recommendations to stakeholders through clear and compelling visualizations, reports, and presentations. + Work closely with product managers and stakeholders to understand business requirements, prioritize projects, and deliver actionable recommendations. **Required Skills:** + Experience with timestamped event data and common data transformations. + Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Energy or other fields + Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and dashboarding platforms. + Highly analytical with strong, demonstrated problem solving and critical thinking capabilities An understanding of statistical analysis. + Proficient in Python and the associated ML / Data science frameworks + Experience with Advanced Data Models / ML + Experience with A/B Testing + Proven ability to work across teams and roles **Nice to Have Skills:** + Knowledge of text analytics and natural language processing (NLP) techniques. + Experience working with large language models (LLMs) and their applications in data analysis and decision support systems. **Required Education/Experience:** + Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience. + 5+ years work experience. Learn about the Vivint Culture (*************************************** and why it's a great place to grow your career! Here are some highlighted perks you should ask us about: + Free daily lunch and drinks on site + Paid holidays and flexible paid time away + Employee/Friends/Family Discounts + Onsite health clinic, gym, gaming tables + Medical/dental/vision/life coverage & 24/7 Medical Hotline + 401(k) + Employer Match + Employee Resource Groups WORKING CONDITIONS: _This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines._ SAFETY: _Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employees must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues._ NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. Official description on file with Talent.

Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. Position Summary This role is required to be in office 5 days a week. We are looking for a mid to senior level data scientist. Data Scientists at Domo are client-facing experts who work with Domo's strategic clients to develop custom production data science solutions that address and improve business challenges. Domo Data Scientists also work closely with Domo's Product Team to inform and develop data science products that accelerate Domo use and adoption. This role requires data scientists to understand and demonstrate competence in four knowledge domains: data engineering, model building, customer and initiative management, and problem solving. These four domains apply to all aspects of building production data science, machine learning, and AI pipelines in Domo-including use case discovery, ROI estimation and tracking, data ingestion, data preparation and cleaning, feature engineering, modeling, training, productionizing, and building out technical and end-user dashboards. Time is balanced between calls and on-site interactions with Domo clients, with independent time allocated to informing and building data science products and solutions. Furthermore, Data Scientists on this team are teachers and trainers, with a firm emphasis on evangelizing data science best practices and enabling customers to understand and own their Domo data science solutions. Data Scientists at Domo are encouraged to pursue projects that enhance clients' user experience and move forward the vision of data science at Domo. This can include contributing to the building of Domo data science products, designing and architecting apps, writing knowledge base articles, developing sales and marketing solutions, or contributing to Domo-sponsored published works. At the senior level, data scientists are expected to demonstrate expert knowledge and industry respect and longevity in at least two of the four knowledge domains (data engineering, model building, customer and initiative management, and problem solving). Thought leadership and expertise for Senior-level data scientists can be evidenced through a cohesive body of work as is demonstrated in a portfolio of production DSML projects, publications, presentations, reports, patents, and other industry-relevant accomplishments. MINIMUM JOB QUALIFICATIONS: University degree and equivalent industry experience with an emphasis in data science, statistics, behavioral science, computer science, or related field Strong R and/or Python skills (5+ years) Knowledge and demonstrated application of a breadth of statistical and data science approaches Portfolio of at least one completed data science and/or statistics project, including visualizations, presentations, reports, etc. (a relevant class project can be considered for junior-level applicants) Experience in any type of customer-facing role (2+ years) Flexibility to travel for work as much as 20% of time Strong written and oral skills Detail oriented Exceptional time management skills PREFERRED JOB QUALIFICATIONS Master's Degree or PhD with an emphasis in data science, statistics, behavioral science, computer science, or related field Portfolio of independently completed data science and/or statistics projects, including visualizations, presentations, reports, etc. (industry-specific portfolio preferred) Evidence of developing and deploying business-relevant data science or machine learning solutions in production Experience teaching statistics and/or data science, with evidence of success (such as favorable course evaluations, etc.) Project management experience Experience using Domo (1+ years) ITEMS TO INCLUDE IN YOUR APPLICATION Current resume Current CV, if applicable Data Science Portfolio: Highlight at least one use-case that showcases your work and the importance of it Evidence of teaching success, if available Customer evaluations, ratings, feedback, endorsements, etc., if available If selected for an interview, please prepare a 15-minute presentation that showcases your data science work (preferably customer-facing work) and the impact of it LOCATION: American Fork, UT BENEFITS: ******************************************** Domo is an equal opportunity employer. #LI-BD1 #L1-Onsite