Data Scientist jobs at Reyes Holdings - 439 jobs

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems. Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team. Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs. Develop and integrate components for creating an operational information and knowledge discovery system. Requirements Bachelor's degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience. Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management. Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment. Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms. Ability to successfully handle multiple time-sensitive projects across several disciplines. Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

A cutting-edge data analytics firm in San Francisco is seeking a full-stack engineer to enhance user experiences and integrate AI tools within their platform. You will work on innovative projects that shape data interactions, collaborate with teams on product initiatives, and tackle UX challenges. Ideal candidates should possess 3+ years of software engineering experience, proficiency in React and Typescript, and a strong desire to work in AI development. This position offers a competitive salary and benefits, with a hybrid work model. #J-18808-Ljbffr

Our client operates at the crossroads of energy and home services, fueled by the vision of a smarter, cleaner future. Committed to developing groundbreaking solutions, they aim to streamline their customers' lives by providing energy, protection, and smart services for their homes and businesses. Essential Duties/Responsibilities: Adhere to our culture of humility, curiosity, and impact Process data using Python, PySpark, and Databricks Develop models and dashboards Learn the job while performing hands-on analytics and modeling Help business partners make more profitable decisions based on customer and prospect insights Working Conditions: Fully remote Minimum Requirements: 0-3 years of experience in data analysis or related field Master's degree in a quantitative discipline or equivalent practical experience Experience with statistical software and database languages Preferred Qualifications: Experience using data science to improve customer experience and business profitability PhD in a quantitative discipline Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing Proficiency with version control Experience with reading and writing data in the cloud Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking

Objective of the Job: This position focuses on problem solving by implementing actionable data-driven business solutions, predict emerging trends, providing recommendations to stakeholders by analyzing and modelling a vast variety of data. Duties and Responsibilities: 1) Upholds a high integrity for BRS Systems while supporting Safety, Environmental & Quality Systems 2) Identify business use cases in consultation business stake holders, peers and superiors. 3) Analyze data requirements, create models and provide solutions (combination of ML and Analytics) 4) Document the processes and mentor others in the team. 5) Participate in setting up an analytics platform for Self Service Analytics. Qualifications: 1) Bachelor's degree in computer science or engineering or related field; master's degree preferred. 2) Must have minimum 2 years of experience in Analytics and use of Machine Learning Algorithms. 3) Demonstrated ability in Visualization tools, ML Frameworks, and other related topics. 4) Entrepreneurial drive, with demonstrated ability to deliver projects on time 5) Strong aptitude for learning new technologies and analytics techniques Working Conditions and Physical Requirements: This position requires the ability to work on site or remote from the states of Arkansas, Tennessee, Texas , or Mississippi with occasional on-site visit as needed. Supervisory Responsibility: This position does not supervise others - the scope of the role may change as time progresses and organization grows.

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product Development organization. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success. If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of making conversations more valuable. Your Impact * Collaborate with Product teams to understand business objectives and challenges, translating them into data-driven insights and recommendations. * Develop and implement predictive models, analytical tools, and methodologies to analyze product usage and customer behaviors. * Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies. * Design and Execute experiments to test hypotheses and measure the effectiveness of various features, product experiences and strategies. * Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation. * Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company's Product roadmaps. * Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes. * Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're Looking for Someone Who * 3+ years as a Data Scientist, in a software technology or AI-driven company. * Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization. * Strong background in data analysis, statistical modeling, and other data science techniques. * Familiarity with B2B SaaS business models. * Excellent ability to translate complex findings into actionable insights for non-technical stakeholders. * Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously. * Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment. About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact *********** at least 3 business days before your interview. * Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $155,000 to $185,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package. #LI-Hybrid

LMI is seeking a Data Scientist to support our Intelligence Community client. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Responsible for providing advanced data analytics and strategic workforce planning via on-demand, intuitive web-based capabilities and reporting. This includes maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations. Engage technical and functional program SMEs and key data stakeholders to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results Understand and analyze complex and organization-specific datasets Define and develop techniques to integrate, consolidate, and structure data for analytical use Support the maturation of data quality Support the transformation of businesses process through automation Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools Collaborate with the team internal and external timely and proactively Provide regular detailed reporting to management and customers Develop briefing packages to communicate complex ideas to non-technical customers Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers Qualifications Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required. Minimum 5 years in data analytics or related Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Experience working with programming languages like SQL and python (SQL required, python preferred) Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js Self-starter with the vision to independently identify opportunities for improvement through data analytics. A true team player who maintains a positive attitude in a dynamic environment. Excellent communication skills, written and oral Proven ability to work with business customers and technical teams Highly organized and able to manage multiple projects simultaneously Excellent customer relationship management skills Innovative problem-solving skills and ability to thrive in a fast-paced environment Ability to work on client site in either Reston, VA or Washington, D.C Active TS/SCI required. CI Polygraph required for the position; candidates without a current polygraph will be sponsored for upgrade. Desired: Masters degree or higher Advanced knowledge of SQL or Python Experience using python libraries to build regression models and decision trees Experience with version control software like Git Management consulting experience desired Experience working with unstructured text and natural language processing Experience with deploying and maintaining models in production Previous experience with people analytics #LI-SH1 Target Salary Range: $150,000-$200,000 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances

The Data Scientist will be responsible to create product reliability models and advanced analytics that drive strategic decisions about product improvements. This role will collaborate closely with cross-functional teams, including Engineering, Product Management, Quality, Services, and IT, to develop and deploy data-driven solutions that address complex customer challenges. You should understand the impacts of environmental and other field conditions as they relate to product reliability. In this role, you should be able to apply mathematical and statistical methods to predict future field performance by building product reliability models using software tools. PRINCIPAL DUTIES & RESPONSIBILITIES: * Analyze product reliability requirements * Create predictive models for field performance and product reliability * Assist in design of experiments and analysis to understand impacts of different design decisions and test results * Correlate predictive models with test results and field data REQUIREMENTS: * Bachelor's Degree in Math, Statistics, Data Science, Computer Science, Reliability Engineering, or equivalent experience * 1-5 years of experience * Basic knowledge in power/electrical engineering; AC and DC power * Basic knowledge in large- and small-scale cooling systems * LabVIEW, Python, or other coding and modeling language * Minitab or other statistical software tools * Power BI or other data visualization tools * Travel 15%

SRP is a Big Data startup company located in Princeton, New Jersey. Job DescriptionSRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking for a seasoned and highly experienced, hands-on big data architect. This person could potentially become a co-founder or CTO in this startup. Qualifications: * 10 to 15 years of experience in technology including Big Data and Hadoop * Experienced in Hadoop, Hive/Pig, various hadoop distributions such as Cloudera or Hortonworks * Experienced in Spark * Strong working knowledge with visualization tools such as Tableau or equivalent * Must have worked with really large data sets in the past * Experienced with databases, SQL, and AWS High energy and high enthusiasm are essential for this role, and a very strong drive to succeed. Learn more about us at: ****************** Additional Information This is a one time contracting project

Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide. At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health. USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds-regardless of background-to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment. Brief Job Overview The USP Advanced Manufacturing Technologies (AMT) team seeks to continuously improve medicines through practical applications and solutions in advanced manufacturing and analytical technologies that increase medicine quality and strengthen supply chain resiliency. The AMT team helps make drugs in new ways, test the quality of drugs in new ways, and build more efficient, sustainable, and competitive industries both in the US and around the globe. To do this work, the AMT team brings together expertise in chemistry, biologics, engineering, data science, economics, business, and regulatory science. The AMT Data Scientist is a scientific professional who leverages data science expertise to support scientific, supply chain, and sustainability programs. This will include, but are not limited to, the following program areas: 1) MedSuRe Climate-smart work package building baseline and improvement models of manufacturing, energy, water, waste, and resource utilization; 2) AI/ML models to streamline pharmaceutical supply chain vulnerability and solution analyses; and 3) processing and modeling spectroscopy data generated by process analytical technologies (PAT) research and development solutions. The role emphasizes cross-disciplinary collaboration on time-sensitive externally and internally funded projects and development of proposals for new projects. The workload balance in these areas depends on external funding priorities and projects. This is a two-year fixed term position . The term may be extended based on external funding priorities and projects. How will YOU create impact here at USP? As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards. Additionally, USP's People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments. The AMT Data Scientist has the following responsibilities: Create, validate, and continually refine multivariate models using machine learning algorithms such as gradient boosting, partial least squares (PLS), support vector machines, and neural networks. Leverage AI foundational models to extract insight from large and diverse knowledge bases and generate analyses. Leverage feature engineering, validation, and explainability techniques to ensure model robustness and interpretability while managing high-dimensional data sets. Employ advanced model-based approaches for scenario simulation, risk prediction, and mitigation optioning. Act as a subject-matter expert on data science on cross-functional projects, including the technical design of proposals and plans of research. Explore and incorporate additional advanced data science techniques such as knowledge graphs, digital twins, and physical models as needed to solve novel problems. Develop and deploy AL/ML tools for client and internal use within the AMT team to improve efficiency and quality of complex, technical and economic analyses. Design and implement models within key AMT areas of interest including: Environmental impact of pharmaceutical manufacturing including carbon footprint, energy, water, waste as well as life-cycle assessment, and optimization against environmental impacts, cost of production, and risk. Pharmaceutical supply chain risk and mitigations from key starting materials (KSM) through active pharmaceutical ingredients (API) and finished dosage forms (FDF) Novel drug manufacturing technologies such as flow chemistry, process analytical technologies (PAT), and 3D printing. New topical areas as client needs and AMT internal strategy evolve. Ensure all work is done on-time, meets client expectations, and exemplifies the trust, quality, and reliability expected from a USP solution. Other duties as assigned. Who is USP Looking For? The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Bachelor's Degree and five (5) years of relevant experience; master's degree and three (3) years of relevant experience; or a Ph.D. and two (2) years of relevant experience required. Demonstrated experience applying machine learning and statistical techniques to complex systems such as pre-processing, classification, regression, clustering, dimensionality reduction, anomaly detection, and model selection. Programming and computational abilities in data science languages and frameworks (e.g., Python-Pandas, scikit-learn, Matplotlib, TensorFlow, PyTorch, LangChain; R; MATLAB;). Experience following good software engineering practices and deploying solutions into production. Demonstrated experience with cloud environments and services such as AWS, Azure, or Google Cloud. Working knowledge of the pharmaceutical industry and manufacturing. Strong analytical reasoning, critical thinking, and troubleshooting ability. Ability to engage productively with both internal and external stakeholders High attention to detail and integrity. Initiative to solve problems and develop solutions on a deadline. Solid communications skills - both written and oral. Desire to affect change and drive public health impact. Additional Desired Preferences Preferred degrees in data science, statistics, chemistry, chemical engineering, or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information. Familiarity with the application of data science to climate risk, sustainable manufacturing, lifecycle assessment, or other environmental considerations. Experience applying data science to model supply chains, manufacturing quality, or other manufacturing operations. Familiarity with retrosynthesis or AI/ML-driven retrosynthetic tools (e.g., AIZynthFinder, SYNCHEM) or multi-target convergent synthesis frameworks. Familiarity with analytical techniques and platforms such as NIR, Raman, FTIR, and HPLC as well as chemometric methods to extract actionable insights Experience executing on contract work, donor-funded projects, or government projects. Supervisory Responsibilities None, this is an individual contributor role. Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Compensation Base Salary Range: USD $87,200.00 - $113,450.00 annually. Target Annual Bonus: % Varies based on level of role. Individual compensation packages are based on various factors unique to each candidate's skill set, experience, qualifications, equity, and other job-related reasons. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.

Staff Data Scientist - Promo Analytics **Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success-so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team: As a Staff Data Scientist - Promo Analytics, you will serve as a senior technical leader, driving the architecture and delivery of innovative analytics solutions that enable Milwaukee Tool to make fast, data-driven decisions about promotional strategies. Working closely with business partners and the Promo Analytics pod, you will design, build, and support the foundational systems that power our promo analytics capabilities. You will develop and implement scalable machine learning models and forecasting tools to optimize promotions, ensuring trusted and actionable insights across the organization. You'll build deep expertise in our promotional data, shape long-term analytics strategy, and lead advanced analytics initiatives. Success in this role requires technical excellence, a passion for experimentation, and the ability to influence and elevate the team while delivering significant business value. You'll be DISRUPTIVE through these duties and responsibilities: Architect, design, and build scalable machine learning and forecasting models to optimize promotional strategies and drive significant business impact. Set technical direction for promo analytics, establishing best practices and standards for model development, validation, and deployment. Lead the development and implementation of advanced analytics frameworks, reusable tools, and templates to accelerate team and organizational productivity. Translate complex, cross-functional business needs into actionable data science projects and long-term analytics strategy. Oversee and guide the integration of promo analytics solutions across multiple business domains, ensuring consistency and scalability. Lead root cause analysis for major promo analytics issues, drive long-term remediation, and influence operational reliability improvements. Mentor and provide technical guidance to other data scientists and analytics professionals within the pod and across teams. Collaborate with Data Engineers, Product Owners, Business Intelligence Engineers, and other technical team members to deliver integrated, enterprise-scale solutions. Engage directly with marketing and sales leadership to understand strategic business challenges and deliver high-impact analytics solutions. Perform other duties as assigned. The TOOLS you'll bring with you: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, or equivalent experience. 8 or more years of experience in data science, advanced analytics, or a closely related technical field. Expert-level proficiency in statistical modeling, machine learning, and advanced analytics techniques. Advanced proficiency in at least one programming language used for data science (Python preferred) Extensive hands-on experience building, validating, and deploying scalable machine learning and forecasting models in production environments. Demonstrated experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar). Proven track record developing and implementing complex statistical and ML models for business impact, ideally in pricing, promotion, or revenue management. Strong knowledge of experimental design, A/B testing, and model evaluation best practices. Ability to lead and influence cross-functional analytics initiatives and set technical direction for data science projects. Strong problem-solving, debugging, and analytical skills, especially in complex, multi-system environments. Ability to thrive in agile, dynamic, and collaborative teams, and to communicate complex analytics clearly to technical and non-technical audiences. Other TOOLS we prefer you to have: Deep expertise with advanced machine learning techniques (e.g., time series forecasting, causal inference, uplift modeling, optimization, or reinforcement learning). Experience applying analytics to promo, pricing, or revenue management challenges. Hands-on experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar). Strong background in experimental design and statistical testing (A/B testing, multivariate testing, quasi-experimental methods). Proficiency with data visualization and storytelling tools (e.g., Power BI, Tableau, matplotlib, or similar). Demonstrated ability to work with large, complex, and messy datasets in real-world business contexts. Experience collaborating in Agile, cross-functional teams. Exceptional communication skills for translating complex analytics into actionable insights for both technical and non-technical audiences. A track record of thought leadership, publication, or conference presentations in data science or applied analytics (preferred but not required). Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace Sitting for prolonged periods of time Prolonged exposure to computer screens Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection May work in laboratories and/or controlled, enclosed, restricted areas Noise levels range from moderate to loud Must be able to lift up to 50 pounds at a time May require travel dependent on company needs We provide these great perks and benefits: Robust health, dental and vision insurance plans Generous 401 (K) savings plan Education assistance On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE. Milwaukee Tool is an equal opportunity employer.

The Columbia Group (TCG), is a technical services support company which has a successful 50+ year history of providing the United States government with financial management support services, information technology, program management, acquisition, logistics management, engineering, and design. As a full-time employee of TCG, you will receive a comprehensive benefits package to include a quality health insurance program (medical, drug, vision and dental) for you and your family, group life insurance, group short and long-term disability insurance, a 401K profit sharing retirement plan, and professional development opportunities. You will accrue 'Paid Time Off' (PTO) to be used towards vacation or sick leave, in addition to receiving eleven (11) paid federal holidays. We are seeking Junior to Senior Level Data Scientists to join our team in locations such as: Washington, DC Metropolitan and San Diego, CA. Upon award, the ideal candidate will: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. They may also perform the following duties: Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Create dynamic data reports.

Join our Global Payments & Liquidity (GPL) team as a Vice President-level Lead Data Scientist, where you'll shape the future of data-driven decision-making in one of the most dynamic areas of financial services. This is a high-impact leadership role for an innovative thinker who thrives on solving complex problems and delivering scalable solutions that transform customer experiences and accelerate business growth. What You'll Do Drive Strategy Through Data: Partner with senior business leaders to translate strategic priorities into actionable data science initiatives that influence product innovation and customer engagement. Lead Advanced Modeling: Design and implement sophisticated machine learning and deep learning models, leveraging cutting-edge statistical techniques to uncover insights and predict outcomes. Architect Scalable Solutions: Collaborate with data engineering teams to ensure robust, secure, and production-ready deployment of analytics solutions across cloud platforms. Champion Data Excellence: Establish and enforce best practices for data quality, governance, and reproducibility, ensuring models meet the highest standards of accuracy and transparency. Communicate Impact: Present complex findings in a clear, compelling way to both technical and non-technical stakeholders, driving informed decisions at the executive level. Required Qualifications: 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years experience in Python and SQL 1+ years experience in leadership or mentorship of more junior team members Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Preferred Qualifications Expertise in deep learning frameworks (TensorFlow, PyTorch) and experience with NLP or predictive modeling. Prior experience supporting Agile product teams in a corporate environment. Familiarity with banking products, transaction services, and working capital solutions. Knowledge of cloud platforms (AWS, Azure) and data visualization tools (Power BI, Tableau). Why Join Us? Influence strategic decisions at the intersection of data science and global payments. Work on high-visibility projects that shape the future of financial technology. Competitive compensation and relocation support for candidates outside Charlotte, NC. Posting End Date: 30 Jan 2026 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

WARNING about fake job posting scams. There has been a recent wave of scams whereby third parties post fake job openings using a bogus email address that resembles ****************. Under the guise of asking you to fill out an application, the scammers are attempting to gather your personal information. See the Federal Trade Commission's warning on this topic at: ******************************************* The only official source for actual Biolinq job postings/openings is at ************************ While other job sites (such as LinkedIn, Indeed or Glassdoor) may pull from Biolinq's careers web page, you should visit *********************** to verify the accuracy of the openings found on third party web sites. About the Company Biolinq is a venture-backed digital health company developing a wearable biosensor platform that measures biomarkers important to the management of many clinical conditions including diabetes. This dynamic role is a part of a team of engineers and scientists developing a novel intradermal biosensor technology and the associated software data extraction and rendering SDK that will transform the way people manage their metabolic health. Job Purpose This is a dynamic role as part of a team of engineers and scientists developing a novel intradermal biosensor technology. This highly visible role within the Company will work with a cross-functional team of scientists and engineers and will be responsible for bench and clinical data analysis, algorithm development, and supporting planning, execution, and post clinical study activities. Duties and Responsibilities Algorithm development for Continuous Glucose Monitoring system and other analytes Develop signal processing algorithms for signal noise reduction and fault detection Analysis of data collected during the course of clinical trials to assess performance of Bioling sensors and help with root-cause analyses Implementing statistical analyses of data sets acquired in the clinical setting to assess safety, efficacy, and accuracy Processing large datasets using state of the art methods Assisting with preparation of reports or presentations to fulfil business or regulatory needs Other tasks as assigned Requirements Qualifications Master's degree and 8 years of experience required. PhD degree preferred. Scientific or Engineering discipline required. Minimum of 5 years' experience in signal processing, time series data analysis and algorithm development, preferably in a medical device setting Experience with advanced data analysis tools and methods; demonstrated understanding of statistics and statistical analysis of data Must be capable of supporting projects independently without supervision Experience with advanced computing languages such as Python, R, or Matlab Experience with machine learning and data mining methods Ability to interface with both clinicians and R&D team and work in a fast-paced, multi-disciplinary environment Capacity to manage multiple projects and communicate ideas clearly to the team; excellent written and verbal communication skills Working Conditions General office and laboratory. Physical Requirements While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, see, talk or hear in a standard office environment. Employee may occasionally lift/or move up to 15 pounds. BENEFITS Medical, dental, vision, health savings account, flexible spending account, life and long-term disability insurance, 401(k) plan, holidays, and PTO. At Biolinq we fully subscribe to the principles of Equal Employment Opportunity. It is our policy to provide employment, compensation, and other benefits related to employment based on qualifications, without regard to race, color, religion, national origin, age, sex, veteran status, genetic information, disability, or any other basis prohibited by federal, state or local law. In accordance with requirements of the Americans with Disabilities Act and applicable federal, state and/or local laws, it is our policy to provide reasonable accommodation upon request during the application process to applicants in order that they may be given a full and fair opportunity to be considered for employment. As an Equal Opportunity Employer, we intend to comply fully with applicable federal, state and/or local employment laws and the information requested on this application will only be used for purposes consistent with those laws. To the extent required by applicable law, The Company maintains a smoke- free workplace. As part of our efforts to ensure fair and equal pay based on merit, Biolinq supports pay transparency internally and during the recruitment process. The U.S. base salary range reasonably expected to be paid for this role is: $150,000 to $180,000 per year. We may ultimately pay more or less than the posted range. Actual compensation packages are commensurate with experience and based on a variety of factors that are unique to each candidate including, but not limited to: skill set, depth of experience, education, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the U.S. The total compensation package for this position may also include an annual performance bonus and/or other applicable incentive compensation plans. Biolinq also offers a comprehensive package of benefits including paid time off (vacation, holidays, sick time, parental leave), medical/dental/vision insurance, and 401(k) to eligible employees, subject to the terms and conditions of the applicable plans and any written agreement between the parties. Your recruiter can share more about the total compensation package during the hiring process. Please note: The information contained herein is not intended to be an all-inclusive list of duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Biolinq Talent Acquisition at ******************* Salary Description $150,000-$180,000

Join MonoSol's forward thinking Quality team and turn raw manufacturing data into actionable insights that raise product quality and process efficiency. You'll sit at the intersection of data science and manufacturing engineering to mine and utilize high-frequency production data for building predictive models and guiding teams on the levers that control critical quality attributes. You'll be an internal expert who bridges advanced data science with practical plant operations and a critical member to drive digital transformation across the company. Responsibilities Leadership and Direction Champion best practices in data governance, reproducibility, and experiment design; contribute to MonoSol's growing analytics community. Data Engineering Connect to historians/MES (manufacturing execution software), write efficient data pipelines to profile large time-series and batch datasets to discover key factors driving manufacturing defects and variability. Predictive Modeling & Analytics Train, test, and maintain regression/classification models (e.g. linear regression, XGBoost, TensorFlow). Emphasize and effectively communicate model outputs to key stakeholders. Performance Improvement through ML Integrate predictive models with real-time dashboards or control-room alerts that have a positive financial impact Efficient Reporting with Visualization & Storytelling Build clear dashboards (e.g. Power BI, Spotfire, or Custom) and present findings to production, maintenance, and leadership teams Model Deployment & Monitoring Package models for deployment in production environments using either cloud-based or on-premises infrastructure as needed. Set up dashboards and alerts to provide near-real-time insights and leading indicators for operators and engineers. Data and Analytics Strategy Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy at MonoSol. Data Architecture Help define data standards (naming, sampling, governance) for projects. Continuous Improvement & Collaboration Partner across manufacturing teams to translate model outputs into actions; coach colleagues on data-driven methods. Translate model findings into root-cause actions. Personal Development Stay current on manufacturing analytics, MLOps, and Six Sigma best practices; pursue certifications or conferences as needed. Typical Tasks Extract, clean, and feature-engineer high-velocity plant data from manufacturing systems. Design and extract meaningful features from time-series, batch, and categorical data to improve model performance and interpretability. Build and evaluate predictive models (regularized linear regression, gaussian process regression, gradient boosting, neural networks); create simulation notebooks for process scenarios. Deploy models in production environments (cloud or on-premises) using APIs or integrated systems; monitor performance for drift and retrain as needed to maintain accuracy. Perform root cause analysis using data-driven techniques to identify sources of defects or process inefficiencies Create intuitive dashboards that link inputs to predicted quality metrics. Work closely with quality engineers, process engineers, and production teams to define the problem, validate model results, and co-develop solutions that are both technically sound and operationally practical. Document methodologies, models, and findings in a clear and reproducible manner. Present insights to operators, engineers, and executives Qualifications Education Bachelor's degree in chemical engineering, Mechanical Engineering, Data Science, Statistics, Computer Science, or related field (required). Master's or graduate certificate in Data Science, Analytics, or related field (preferred). Experience 3+ years of statistical modeling, applied machine learning, data science, or advanced analytics preferably in process control and manufacturing. Proven success in improving yield, uptime, or quality with statistical or ML models. Familiarity with statistical process control (SPC), control charts, and quality metrics. Six Sigma green belt or higher (preferred) Technical Skills Proficiency in Python or R for data analysis and modeling. (e.g., pandas/scikit-learn or dplyr/caret/tidymodels). Experience with deep learning frameworks (e.g. TensorFlow, py Torch) Strong SQL skills and working with relational databases; experience with cloud platforms (AWS SageMaker, Azure ML) is a plus. Soft Skills Ability to clearly communicate and translate model outputs into actionable recommendations for manufacturing-floor teams, engineering staff, and executive leadership. Comfortable working in cross-functional settings and driving change Applicable only to applicants applying to a position in any location with a pay disclosure requirements under state or local law: The compensation range that is described below is the possible base pay compensation that the company believes in good faith that it will pay for this role at the time of posting based on job grade for the position. Individual compensation within this range is based on many factors such as years of experience etc. so the company might pay more or less than the posted range and it is understood that this range may be modified in the future. In addition to base compensation, MonoSol provides a yearly incentive compensation bonus, a profit sharing bonus when eligible, a comprehensive benefits package including medical, dental, vision insurances, short term disability, long term disability, accidental death and dismemberment, term life insurance, voluntary term life insurance, transit flexible spending account (if applicable), employee assistance program, identity theft protection, 401k and paid time off (vacation and sick days). Compensation range - $86,907.87 - $146,142.27 Incentive Compensation Bonus Target - 10% Paid time off amount - 15 days Closing The above statements are intended to describe the general nature and level of the work being performed by employees assigned to this position. This is not intended as an exhaustive list of all responsibilities, duties, and skills required. MonoSol, LLC reserves the right to make changes to the job description whenever necessary. Disclaimer As part of MonoSol, LLC's employment process, finalist candidates will be required to complete a drug / alcohol test, physical, and background check prior to employment commencing. MonoSol, LLC is an equal opportunity employer. All qualified applicants will be considered without regard to race, national origin, gender, age, disability, sexual orientation, veteran status, or marital status.

Join MonoSol's forward thinking Quality team and turn raw manufacturing data into actionable insights that raise product quality and process efficiency. You'll sit at the intersection of data science and manufacturing engineering to mine and utilize high-frequency production data for building predictive models and guiding teams on the levers that control critical quality attributes. You'll be an internal expert who bridges advanced data science with practical plant operations and a critical member to drive digital transformation across the company. Responsibilities * Leadership and Direction * Champion best practices in data governance, reproducibility, and experiment design; contribute to MonoSol's growing analytics community. * Data Engineering * Connect to historians/MES (manufacturing execution software), write efficient data pipelines to profile large time-series and batch datasets to discover key factors driving manufacturing defects and variability. * Predictive Modeling & Analytics * Train, test, and maintain regression/classification models (e.g. linear regression, XGBoost, TensorFlow). Emphasize and effectively communicate model outputs to key stakeholders. * Performance Improvement through ML * Integrate predictive models with real-time dashboards or control-room alerts that have a positive financial impact * Efficient Reporting with Visualization & Storytelling * Build clear dashboards (e.g. Power BI, Spotfire, or Custom) and present findings to production, maintenance, and leadership teams * Model Deployment & Monitoring * Package models for deployment in production environments using either cloud-based or on-premises infrastructure as needed. Set up dashboards and alerts to provide near-real-time insights and leading indicators for operators and engineers. * Data and Analytics Strategy * Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy at MonoSol. * Data Architecture * Help define data standards (naming, sampling, governance) for projects. * Continuous Improvement & Collaboration * Partner across manufacturing teams to translate model outputs into actions; coach colleagues on data-driven methods. Translate model findings into root-cause actions. * Personal Development * Stay current on manufacturing analytics, MLOps, and Six Sigma best practices; pursue certifications or conferences as needed. Typical Tasks * Extract, clean, and feature-engineer high-velocity plant data from manufacturing systems. * Design and extract meaningful features from time-series, batch, and categorical data to improve model performance and interpretability. * Build and evaluate predictive models (regularized linear regression, gaussian process regression, gradient boosting, neural networks); create simulation notebooks for process scenarios. * Deploy models in production environments (cloud or on-premises) using APIs or integrated systems; monitor performance for drift and retrain as needed to maintain accuracy. * Perform root cause analysis using data-driven techniques to identify sources of defects or process inefficiencies * Create intuitive dashboards that link inputs to predicted quality metrics. * Work closely with quality engineers, process engineers, and production teams to define the problem, validate model results, and co-develop solutions that are both technically sound and operationally practical. * Document methodologies, models, and findings in a clear and reproducible manner. * Present insights to operators, engineers, and executives Qualifications * Education * Bachelor's degree in chemical engineering, Mechanical Engineering, Data Science, Statistics, Computer Science, or related field (required). * Master's or graduate certificate in Data Science, Analytics, or related field (preferred). * Experience * 3+ years of statistical modeling, applied machine learning, data science, or advanced analytics preferably in process control and manufacturing. * Proven success in improving yield, uptime, or quality with statistical or ML models. * Familiarity with statistical process control (SPC), control charts, and quality metrics. * Six Sigma green belt or higher (preferred) * Technical Skills * Proficiency in Python or R for data analysis and modeling. (e.g., pandas/scikit-learn or dplyr/caret/tidymodels). * Experience with deep learning frameworks (e.g. TensorFlow, py Torch) * Strong SQL skills and working with relational databases; experience with cloud platforms (AWS SageMaker, Azure ML) is a plus. * Soft Skills * Ability to clearly communicate and translate model outputs into actionable recommendations for manufacturing-floor teams, engineering staff, and executive leadership. * Comfortable working in cross-functional settings and driving change Applicable only to applicants applying to a position in any location with a pay disclosure requirements under state or local law: The compensation range that is described below is the possible base pay compensation that the company believes in good faith that it will pay for this role at the time of posting based on job grade for the position. Individual compensation within this range is based on many factors such as years of experience etc. so the company might pay more or less than the posted range and it is understood that this range may be modified in the future. In addition to base compensation, MonoSol provides a yearly incentive compensation bonus, a profit sharing bonus when eligible, a comprehensive benefits package including medical, dental, vision insurances, short term disability, long term disability, accidental death and dismemberment, term life insurance, voluntary term life insurance, transit flexible spending account (if applicable), employee assistance program, identity theft protection, 401k and paid time off (vacation and sick days). Compensation range - $86,907.87 - $146,142.27 Incentive Compensation Bonus Target - 10% Paid time off amount - 15 days Closing The above statements are intended to describe the general nature and level of the work being performed by employees assigned to this position. This is not intended as an exhaustive list of all responsibilities, duties, and skills required. MonoSol, LLC reserves the right to make changes to the job description whenever necessary. Disclaimer As part of MonoSol, LLC's employment process, finalist candidates will be required to complete a drug / alcohol test, physical, and background check prior to employment commencing. MonoSol, LLC is an equal opportunity employer. All qualified applicants will be considered without regard to race, national origin, gender, age, disability, sexual orientation, veteran status, or marital status.

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

We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone. Since Helion's founding in 2013, we have raised over $1 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors SoftBank and Lightspeed to propel us forward. Our last prototype, Trenta, completed 10,000 high-power pulses and reached plasma temperatures of 100 million degrees Celsius (9 keV). We are now operating Polaris, our next prototype on the path to the world's first fusion power plant. This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths - values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait. What You Will Be Doing: Helion is hiring a Plasma Data Scientist specializing in physics‑grounded machine learning to accelerate experimental FRC plasma modeling. This role will focus on developing and validating advanced ML frameworks-such as differentiable‑physics models, PINNs, surrogate modeling, or hybrid physics+ML systems-while integrating these tools with simulation and diagnostics pipelines. You will support cross‑disciplinary fusion research and contribute to high‑impact modeling that informs experimental design and interpretation. This onsite position reports to the Experimental Science Manager at our Everett, WA office and plays a key role in advancing fusion electricity development. You Will: Develop and validate machine‑learning frameworks for FRC plasma‑dynamics, leveraging physics‑grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems) Integrate ML models with existing simulation tools and experimental‑diagnostic pipelines to enable hybrid physics + data‑driven validation workflows Reproduce experimental plasma conditions within ML modeling workflows to support interpretation of magnetic diffusion, circuit response, and diagnostic measurements Generate analysis scripts for post‑processing, parsing model outputs, and visualizing correlations between ML‑based predictions and experimental results Collaborate with plasma‑physics, pulsed‑power, and transient‑magnetics experts to expand the fidelity and fusion‑relevance of ML‑enabled modeling frameworks Communicate results with rigor and clarity through reports, presentations, and technical visualizations for research stakeholders Required Skills: PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling 10+ years of industry or research‑lab experience applying machine learning in experimental, simulation‑driven, or scientific R&D environments Expertise with physics‑informed or physics‑constrained ML methods, such as differentiable physics, PINNs, scientific ML, surrogate modeling, or reduced‑order models for complex physical systems Experience integrating ML models with scientific‑computing workflows, simulation tools, or experimental diagnostics Proficiency scripting for data parsing, model analysis, and visualization (MATLAB, Python, or similar; Fortran or HPC exposure valuable) Familiarity with magnetic diffusion, circuit coupling, or plasma‑dynamics modeling in pulsed‑power or electromagnetics systems #LI-Onsite #LI-TG1 Total Compensation and Benefits Helion's compensation package includes a competitively benchmarked base salary, meaningful equity grants, and comprehensive benefits. Final compensation is determined through a holistic evaluation of your experience, qualifications, and our commitment to internal equity - ensuring fairness and transparency across our teams. We are committed to fostering a fair and equitable environment in every aspect of our operations, including compensation. This is an exempt salaried role. Annual Base Pay $250,000 - $290,000 USD Benefits Our total compensation package includes benefits, including but not limited to: • Medical, Dental, and Vision plans for employees and their families • 31 Days of PTO (21 vacation days and 10 sick days) • 10 Paid holidays, plus company-wide winter break • Up to 5% employer 401(k) match • Short term disability, long term disability, and life insurance • Paid parental leave and support (up to 16 weeks) • Annual wellness stipend Helion is 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. If you need assistance or an accommodation during the interview process, please let us know.

Who We Are Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products-without becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spend-but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today's consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we're building a world-class team to redefine how people pay-and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we'd love to meet you. The Team The Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale. You'll be part of a high-trust, high-impact team where your work won't just be seen-it'll shape how we grow. What You'll Do Apply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops. Be a champion of A/B testing. Partner with cross-functional teams to design, analyze, and interpret A/B tests correctly, rigorously measuring impact with scalable frameworks and data tooling. Build segmentation frameworks and predictive models to drive targeting and personalization. Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy. Support Automation projects as needed-e.g. anomaly detection, partner data reporting, or internal self-serve tools/dashboards. What We Look For 6+ years of experience in data science, analytics, or a related field-ideally at a high-growth startup or fintech company. Proven expertise in statistical inference, causal analysis, and experimentation design. Experience with marketing or product analytics (e.g., user segmentation, campaign attribution, experimentation). Strong SQL and Python skills. You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet. A highly analytical mindset with a bias toward action. Ability to clearly communicate complex findings to technical and non-technical audiences alike. Comfortable owning projects end-to-end and collaborating cross-functionally to drive impact. Nice to Have Experience building or scaling experimentation infrastructure. Familiarity with dashboarding tools (e.g., Sigma, Looker). Experience in credit, lending, or card products. Exposure to lifecycle marketing or prescreen modeling. Perks & Benefits Competitive compensation and equity packages Leading configured work computers of your choice Flexible paid time off Fully covered, high-quality healthcare, including fully covered dependent coverage Additional health coverage includes access to One Medical and the option to enroll in an FSA 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let's move the world forward, together.

Who We Are Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products-without becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spend-but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today's consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we're building a world-class team to redefine how people pay-and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we'd love to meet you. The Team The Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale. You'll be part of a high-trust, high-impact team where your work won't just be seen-it'll shape how we grow. What You'll Do * Apply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops. * Be a champion of A/B testing. Partner with cross-functional teams to design, analyze, and interpret A/B tests correctly, rigorously measuring impact with scalable frameworks and data tooling. * Build segmentation frameworks and predictive models to drive targeting and personalization. * Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy. * Support Automation projects as needed-e.g. anomaly detection, partner data reporting, or internal self-serve tools/dashboards. What We Look For * 6+ years of experience in data science, analytics, or a related field-ideally at a high-growth startup or fintech company. * Proven expertise in statistical inference, causal analysis, and experimentation design. * Experience with marketing or product analytics (e.g., user segmentation, campaign attribution, experimentation). * Strong SQL and Python skills. You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet. * A highly analytical mindset with a bias toward action. * Ability to clearly communicate complex findings to technical and non-technical audiences alike. * Comfortable owning projects end-to-end and collaborating cross-functionally to drive impact. Nice to Have * Experience building or scaling experimentation infrastructure. * Familiarity with dashboarding tools (e.g., Sigma, Looker). * Experience in credit, lending, or card products. * Exposure to lifecycle marketing or prescreen modeling. Perks & Benefits * Competitive compensation and equity packages * Leading configured work computers of your choice * Flexible paid time off * Fully covered, high-quality healthcare, including fully covered dependent coverage * Additional health coverage includes access to One Medical and the option to enroll in an FSA * 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents * Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let's move the world forward, together.