Data scientist jobs in Escondido, CA - 167 jobs

Data Analytics Engineer (mid-level) Duration: contract through 03/2027 Pay Rate: $40-50/hr on W2 (contingent on experience) About the Role Sony Electronics is seeking a motivated and data-driven problem solver who thrives at the intersection of business and technology. As a Data Engineer/Analyst, you'll play a key role in transforming raw data into meaningful insights and scalable solutions that support decision-making across the organization. This hybrid role blends technical engineering with analytical storytelling-perfect for someone early in their career who's eager to learn, grow, and make a real business impact. You'll collaborate with stakeholders to understand their data needs, analyze complex datasets to uncover trends and opportunities, and deliver insights that inform strategic decisions. You'll also work alongside senior engineers to enhance data pipelines and models, gaining hands-on experience with the infrastructure that powers analytics across Sony. Key Responsibilities · Collaborate with senior data engineers and cross-functional teams to design, build, and maintain scalable data pipelines and analytics infrastructure · Translate business requirements into reliable data models and prepare clean, well-organized datasets for self-service analytics · Develop dashboards and reports using tools like Power BI to support data-driven decision-making and communicate insights effectively · Contribute to existing codebases (e.g., Python, SQL), applying best practices for maintainable and scalable engineering · Monitor data quality and availability, troubleshoot issues across environments, and ensure accuracy and consistency in analytics outputs · Support ongoing improvements to data models, streamline access, and automate reporting workflows to enhance operational efficiency Qualifications · Bachelor's degree in Computer Science, Information Systems, Statistics, Business Analytics, or a related field · Foundational experience with data analysis and programming (e.g., Python or similar) · Familiarity with business intelligence tools such as Power BI · Exposure to modern data platforms like Databricks, Snowflake, BigQuery, or Redshift · Ability to interpret business needs and translate them into scalable, technical data solutions · Strong communication skills for collaborating with technical and non-technical stakeholders · Demonstrated problem-solving ability, curiosity, and eagerness to grow in a collaborative environment Preferred Skills · Hands-on experience with Databricks or similar cloud-based data platforms · Proficiency in scripting languages for data analysis, such as Python, R, or equivalent Solid understanding of ETL (Extract, Transform, Load) processes and foundational data modeling concepts Estimated Min Rate: $40.00 Estimated Max Rate: $50.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

Great performance is critical to Apple's product experience. We are seeking a Machine Learning u0026 Data Scientist to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users. If the idea of developing data products to improve Apple's software u0026 hardware performance excites you, we encourage you to apply! We're looking for a proactive u0026 impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. In this role, you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics, models, simulations, and tools for analysis u0026 communication of insights from large datasets. To be successful, you must have a strong foundation in statistical analysis and the ability to apply it to solving business u0026 product-development problems, as well as a strong software engineering background with the ability to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products. M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition Proficiency in distributed compute u0026 storage technologies such as HDFS, S3, Iceberg, Spark, and Trino Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow) Working knowledge of Operating Systems Experience driving cross-functional projects with diverse sets of stakeholders Skilled at connecting data insights to the company's overall strategy and objectives. Strong Quantitative Foundation: Education in Computer Science, Electrical Engineering, or a related quantitative field. Strong mathematical foundations, software engineering, and broad knowledge of data analysis and practical machine learning are expected. Data Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python u0026 Spark) and data visualizations (e.g. Tableau) Business Acumen and Problem-Solving: Ability to understand the broader business context, solve complex problems, and communicate findings effectively to stakeholders. Adaptability and Collaboration: Comfortable with ambiguity, eager to learn, and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential.

Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible. Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here! PURPOSE OF THE JOB The Data Scientist will build high performing machine learning models across the enterprise. As a key member of the rapidly growing Enterprise Analytics team, this role has the opportunity to develop and deploy impactful generative AI / LLM / ML solutions that drive revenue growth, reduce expenses, and enhance customer experience. This role will perform analyses of internal and external data sources in support of key business functions and develop predictive, descriptive modeling and identify areas of improvement for ICW business units. The Data Scientist will collaborate closely with business partners in Underwriting, Claims, Finance, Actuarial, HR, Law and Technology to help us realize the value in our extensive data resources. ESSENTIAL DUTIES AND RESPONSIBILITIES Build and deploy high performing AI/ML solutions. Utilize LLM models to improve organization efficiency, and tune models as needed. Perform prompt engineering. Develop innovative AI and ML solutions and implement scalable feature engineering. Create POC, MVP, as well as full-featured applications Research and recommend emerging AI and ML approaches and present research results to stakeholders. Partner effectively with data engineering and MLOps teams to ensure internal and external data pipelines support sophisticated data models and proper monitoring and alerting is in place. Collaborate with machine learning engineers as they harden models and move them from the lab into production. Identify and measure levers that impact essential metrics; communicate steps to business stakeholders. Keep up to date with latest research in the field and contribute to maintaining and growing an active data science community at ICW Group. Drive insights and improve workflows and business processes throughout the organization. Specify and develop advanced AI techniques to discover patterns, insights, and trends in ICW data. Drive and strategize with other scientists and internal business units to ensure effective execution of data-driven initiatives. Work closely with IT Security and Data Governance to ensure that analytics practices meet data security, privacy, and quality policies. Collect, aggregate, and analyze data from multiple internal and external sources for use in the most advanced analytics. Contribute to development of AI and ML internal policies and help ensure Enterprise Analytics team is compliant with applicable regulations. Write code to help build and maintain data pipelines for production models. Develop the highest quality, replicable predictive and descriptive analytics for business use. Actively evaluate (tracks and validates) existing models to ensure optimal data-driven decisions and make changes as needed. Develop a strong understanding of the business issues and data challenges of the organization in order to drive meaningful insights. Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. Analyze current business processes; make recommendations to management for new, more efficient, workflows, and processes. EDUCATION AND EXPERIENCE Bachelor's degree required with a major in Statistics, Cognitive Science, Mathematics, Physics, Computer Science, Electrical Engineering, Psychology, Neuroscience or related field and a minimum of 4 years of industry experience in data science roles; OR Master's Degree and a minimum of 2 years of industry experience in data science roles; OR PhD in a related field with research involving AI/ML. Ph.D. preferred. KNOWLEDGE AND SKILLS Strong interest in and familiarity with LLMs / generative AI. Experience with LLM tuning and distillation. Knowledge and experience with statistical and machine learning algorithms, forecasting, recommender systems, reinforcement learning, deep learning, and optimization. Cloud computing experience using several AWS tools and services. Strong knowledge and experience with Python and SQL. Containers and agile methodology. Experience with PyTorch and MLflow. Knowledge of databases and database methodology, especially Snowflake. Experience with model deployment. Knowledge in one or more of the following areas: Casual Inference, Anomaly Detection and/or modern Natural Language Processing techniques. PHYSICAL REQUIREMENTS Office environment - no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear. WORK ENVIRONMENT This position operates in an office environment and requires the frequent use of a computer, telephone, copier, and other standard office equipment. We are currently not offering employment sponsorship for this opportunity. #LI-TP1 #LI-HYBRID The current range for this position is $121,624.81 - $217,710.99 This range is exclusive of fringe benefits and potential bonuses. If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work. WHY JOIN ICW GROUP? Challenging work and the ability to make a difference You will have a voice and feel a sense of belonging We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match Bonus potential for all positions Paid Time Off Paid holidays throughout the calendar year Want to continue learning? We'll support you 100% ICW Group is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. ICW Group will not discriminate against an applicant or employee on the basis of race, color, religion, national origin, ancestry, sex/gender, age, physical or mental disability, military or veteran status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other characteristic protected by applicable federal, state or local law. ___________________ Job Category Actuarial

We are seeking an AI Data Scientist to support defense-related testing, engineering, integration, and sustainment activities for advanced C5ISR systems. This role focuses on data integration, advanced analytics, and the development and deployment of secure AI/ML solutions in both real-world and theoretical environments. The position supports decision-making, experimentation, and operational effectiveness through scalable and portable data-driven solutions. Key Responsibilities Conduct data integration across multiple sources and systems Investigate and develop flexible analytics solutions, including visualization, model building, and decision-support capabilities Support the secure, rapid development, training, evaluation, debugging, and deployment of AI models Develop AI/ML solutions applicable to distributed, vehicle-mounted, and on-premises environments Apply data science methodologies, standards, and frameworks to operational and test environments Required Skills & Qualifications Ability to apply data science expertise using established processes, methodologies, and frameworks Experience developing and applying data science tools in integrated test and/or operational environments Proficiency with statistical programming languages such as Python, R, and SQL Experience with programming languages such as C, C++, Java, or JavaScript Experience designing, working with, and maintaining data architectures Hands-on experience with AI/ML techniques, including large language models, clustering, decision trees, and neural networks Strong understanding of advanced statistical techniques, including regression, probability distributions, and statistical testing Active Secret security clearance Preferred Qualifications Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or a related field Knowledge of statistical analysis and data mining techniques Three or more years of experience with distributed data and computing tools Three or more years of experience developing and applying advanced machine learning and statistical models, including regression, simulation, modeling, clustering, and neural networks Experience visualizing data and presenting analytical results to technical and non-technical stakeholders Working Place: Camp Pendleton, California, United States Company : 2026 Jan 29th Virtual Fair - Auria Space

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Scientist/Engineer to join our Applied Sciences and Technologies (ASTech) team within the Agile Mission Systems (AMS) division here in San Diego. Do you enjoy solving difficult technical problems? Do you have strong mathematical, modeling and/or design skills and wish to apply them towards building real-world solutions with tangible impacts? Do you enjoy a fast-paced environment that will provide you with a diverse set of projects and people to work with? If any of these describe you, then you might be a prime candidate to join the ASTech team here at AMS! We are looking for a scientist/engineer who enjoys developing new technologies and techniques that solve critical problems, with the ability to assist in rapid prototyping for proof-of-concept demonstrations. In this role, you will support the development of novel sensing capabilities leveraging a wide range of technologies; RF, AI/ML, EO/IR, DSP, EW, etc. The successful candidate will report to and work closely with the Manager of the RF & Signal Processing team. DUTIES & RESPONSIBILITIES: Initiate and develop highly innovative solutions to advanced technical problems Perform assessments of candidate state-of-the-art signal processing algorithms Develop sensing capabilities leveraging a wide range of technologies; RF, AI/ML, EO/IR, DSP, EW, etc. Develop and assess novel communications solutions, including waveforms, networking, and electronics Modeling link-budgets to help define system requirements and performance Implement Space-time adaptive processing (STAP) techniques Perform analysis of candidate designs to determine the impact to subsystem and system performance Provide expert guidance and consulting to other staff members Assist in the concept generation for, and authorship of, white papers and proposals Support supplier and subcontractor evaluations Provide technical management of subcontracts when required Represent the Company as a technical contact to customers and suppliers Performs other duties as assigned or required 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. Proficiency in one of the following languages is required, and familiarity with more than one is desired: MATLAB, Python, C++ Must be a team player with excellent communications skills both verbally and in technical writing. Must be able to prepare and conduct detailed technical presentations and reviews. Must be customer focused, formulates plans based on the development of innovative new designs in resolving advanced technical problems. Must be able to work on a self-initiated basis and in a team environment. Limited travel and extended work schedules may be required. Ability to obtain and maintain a DoD security clearance is required.

Full-time Description 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

Associate Scientist Data Science We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. **Your Key Responsibilities:** + Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. + Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients. + Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors. + Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. + Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. + Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. + Team-up with other data scientists and life science experts around the globe to drive project success **We Bring:** + Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry. + Highly motivated, professional and committed multicultural and interdisciplinary team. + Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. + Grow and develop your skills through our in-house training courses. + Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. + A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. **You Bring:** + Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field. + 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field. + Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. + Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields. + Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. + Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines. + Excellent problem-solving skills and proven ability to work both independently and collaboratively. + Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000 -$139,000. **About dsm-firmenich** At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we **go beyond, together** . **The application process** Interested in this position? Please apply online by uploading your resume in English. **Inclusion, belonging and equal opportunity statement** At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. **Agency statement** We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role

Sellers & Associates is seeking an experienced Data Scientist with AI/ML expertise to support NAVWAR mission objectives. The successful candidate will apply advanced data analytics, machine learning, and artificial intelligence techniques to develop data-driven solutions that enhance operational effectiveness, decision-making, system performance, and mission readiness across Navy information warfare domains. This role supports NAVWAR programs focused on data exploitation, predictive analytics, automation, and AI-enabled capabilities in support of fleet operations, readiness, cybersecurity, and command-and-control systems. Requirements Design, develop, and deploy AI/ML models to analyze structured and unstructured data in support of NAVWAR mission requirements. Apply statistical analysis, machine learning, and predictive modeling to identify trends, anomalies, and operational insights. Support development of data pipelines, feature engineering, and model training using government-approved environments and tools. Collaborate with engineers, analysts, and program teams to integrate AI solutions into operational systems and workflows. Develop and maintain data visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders. Ensure AI/ML solutions align with DoD data governance, cybersecurity, and Responsible AI (RAI) principles. Support documentation, testing, validation, and transition of AI capabilities into production environments. Participate in technical reviews, working groups, and customer briefings as required.

Scismic is supporting a global consulting company that fosters a highly collaborative and inclusive culture, encouraging creativity, growth, and innovation. With a team of over 1,000 professionals across 50 global markets, the organization partners with world-class clients to solve complex business challenges across diverse industries. The company values a “builder's mindset,” empowering employees to create new solutions, develop lasting impact, and grow their careers in a supportive environment. The company is seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join the consulting practice. You'll work directly with Fortune 500 clients to solve complex business challenges using state-of-the-art AI technologies across diverse industries. Ideal Candidate Profile You combine academic rigor with practical engineering skills and exceptional client communication abilities. You will work end-to-end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable implementing cutting-edge research while translating complex technical concepts into actionable business strategies. Strong presentation skills and the ability to build trust with senior executives are essential. Equal Opportunities Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer. In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.Responsibilities: Lead client workshops and discovery sessions to identify NLP opportunities Develop and present technical proposals to C-level executives Manage multiple client projects simultaneously while maintaining quality and timelines Design and implement novel NLP solutions for complex business problems Architect scalable solutions for processing and analyzing large text corpora Build custom language models tailored to each client's unique industry challenges Automate repetitive analytical tasks and develop reusable algorithmic frameworks Mentor junior data scientists and provide technical guidance on NLP projects Develop automated content analysis, document processing, and customer insight systems Create scalable text analytics platforms that drive measurable business outcomes Work across retail, finance, healthcare, and media sectors Translate complex AI capabilities into clear business value propositions Technical Environment: Languages: Python (primary), R, SQL, potentially C++ for optimization ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure) Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databases Required Qualification: PhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative field Minimum 5 years of professional experience in data science, machine learning, or related roles Advanced NLP expertise: Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniques Large Language Model proficiency: Hands-on experience with LLM fine-tuning, prompt engineering, RLHF, and deployment at scale Programming mastery: Expert-level Python, with strong knowledge of PyTorch/TensorFlow, Hugging Face ecosystem MLOps & Infrastructure: Experience with model deployment, monitoring, and scaling in production environments Experience writing production code and ensuring well-managed software delivery Experience with foundation models (GPT, BERT, T5, LLaMA, etc.) Knowledge of retrieval-augmented generation (RAG) systems Understanding of model compression techniques (quantization, distillation, pruning) Experience with evaluation metrics and benchmarking for language models Preferred: Experience in consulting or client-facing technical roles Knowledge of specialized domains (healthcare NLP, legal AI, financial text analysis) Cloud platform expertise (AWS SageMaker, Google Cloud AI, Azure ML) Open-source contributions to major ML/NLP libraries Benefits: Hybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeks Comprehensive health benefits (healthcare, vision, dental, pet, home, and auto insurance) Generous time off policies (unlimited paid time off, wellness days, national holidays, summer Fridays) Four-week sabbatical every five consecutive years of employment Exceptional parental leave benefits Global mentorship and networking programs Monthly cell phone reimbursement 401k savings and employee stock purchase plan Volunteer hours (20 hours annually) for designated non-profit partner and personal choice Globally driven inclusive initiatives (Employee Advocacy Groups, equity committee) Career growth opportunities (multi-day customized trainings for each level) Equal Opportunities: Our mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer. In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.

THOR Solutions is actively seeking a Mid-Level Data Scientist to support the US Navy Ship Anti-Submarine Warfare (ASW) Readiness and Effectiveness Measuring (SHAREM) at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA. This position is associated with an upcoming contract that THOR is pursuing, with an estimated award/work start late 2025. We are conducting preliminary, “contingent” hiring for roles associated with this contract. The work start is dependent upon THOR being awarded this contract. Typical Responsibilities: System administration for Naval Ship Tracking, Reporting and Analysis Tool (NSTRAT) System, to monitor the application and/or services and troubleshoot issues affecting availability Software Engineering and testing to develop data analysis tools and event reconstruction Performs database entry, management, and monitors automated back-up Performs database query analysis Location: Onsite at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA. Travel Requirements: Up to 10% travel is anticipated. Typical Physical Activity: Primarily desk/computer work in an office environment. Periodic visits to waterfront/shipboard environments. May involve: repetitive motion, traversing shipboard environments (e.g., confined spaces, ladders, hatches), speaking or vision. Typical Pay Range: The anticipated pay range for this position in the identified location(s) is $63,750 - $89,250/year. Actual compensation offered will be based upon individual factors including education, qualifications, and experience. Existing Security Clearance Required: This position requires a DoD Secret security clearance. A qualified candidate must already possess an active or interim security clearance. A candidate with especially strong, relevant experience but no active security clearance may still be considered, but work start would be dependent upon a new Secret clearance being awarded. Typical Knowledge, Skills, and Abilities: High School diploma, GED, or equivalent Five (5) years of Navy experience managing Navy computer networks Three (3) years of experience using Python and other programming tools to script data analysis products Hold and maintain certifications and/or training to maintain FLANKSPEED IL6 AZURE Privileged Access to include: Scripting language such as Python with SQL server relational database Security+ certification AZURE Administrator Associate AZ-104 Proficient with common productivity software, including the Microsoft Office suite. Excellent communication skills. Benefit Offerings: Along with competitive pay, THOR offers a comprehensive benefits package including: Paid Time Off (accrued) Paid Holidays 401(k) with employer match and traditional/Roth options Medical Insurance (3 plan options) + TRICARE Supplemental Coverage Dental Insurance (2 plan options) Vision Insurance Plan Healthcare and Dependent Care Flexible Spending Accounts Commuter/Transit Benefits Basic Life/AD&D, Short-Term and Long-Term Disability Insurance Supplemental Life Insurance Pet Benefits Legal Resources ID Theft Benefits Employee Assistant Plan and Work-Life Program Voluntary Leave Transfer Program Tuition Reimbursement Program Employee Referral Program Please be aware that many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. Founded in 2009, THOR Solutions, LLC (THOR) is a rapidly growing Center for Veteran's Excellence (CVE) verified Service-Disabled Veteran-Owned Small Business (SDVOSB) providing mission critical support across the Department of Defense, Department of Homeland Security, federal civilian agencies and commercial maritime industry, worldwide. THOR provides innovative and tailored expertise in multidisciplinary engineering, project and program management, business and financial management, technical support, integrated logistics support, training support, fleet support, corporate operations support, assessments and studies. THOR is privileged to deliver service solutions to the nation's most complex military, public sector and industry challenges. THOR is proud to be an Equal Opportunity Employer, including veterans and individuals with disabilities. THOR considers all qualified applicants for employment without regard to legally protected characteristics. This policy applies to all terms and conditions of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part the employment selection process, please contact us at *************************** or **************.

At HAYA Therapeutics, we are revolutionizing RNA-guided genome-targeting therapies to treat fibrosis, heart failure, and other serious chronic diseases associated with aging. Our innovative platformleverageslong non-coding RNAs (lnc RNAs) - key regulators within the dark matter of the genome - to develop first-in-class, highly specific therapies that reprogram disease-driving cell states into a healthy and resilient state, tackling disease at its roots. Following the successful close of our Series A financing, HAYA is well-positioned to advance our pipeline and execute on key scientific and operational milestones, including the advancement of HAYAs lead program, HTX-001, toward the clinic for the treatment of non-obstructive hypertrophic cardiomyopathy (nHCM). In recognition of our scientific innovation and potential global impact, we have been named one of the 100 early-stage companies selected for the World Economic Forums 2025 Technology Pioneers. As a fast-growing biotech, we offer an entrepreneurial, science-driven environment whereyoullhave a direct impact on shaping our programs and advancing the future of RNA medicine. Position Summary HAYA Therapeutics is seeking a highly experienced, senior-level data science leader to take a prominent and highly visible role within the Data Science team. This position exists to ensure that complex preclinical and translational datasets are transformed into high-quality, decision-ready scientific outputs that support program advancement, platform positioning, and external engagement. In this strategic role, you will act as a scientific gatekeeper for data and materials generated in the cardiac and cardiorenal space, ensuring rigor, consistency, and scientific credibility across multiple therapeutic programs. You will serve as a senior scientific authority at the interface of computational biology and cardiac disease biology. Acting as a bridge between data science and biology, you will apply deep domain knowledge and multi-omics expertise to interpret complex datasets, guide analytical strategy, and ensure biological accuracy and translational relevance. This role requires strong judgment, autonomy, and the ability to set analytical standards, particularly for cardiac-focused preclinical and translational research, while partnering closely with biology, translational, and clinical stakeholders. A core component of this role is creating and owning high-impact scientific content and narratives for board-level discussions, alliance management, and business development. You will take complex, multi-layered scientific analyses and translate them into clear, compelling stories that explain the why, so what, and strategic implications behind the data. This role requires the ability to frame scientific results within a broader platform and program context, connecting individual analyses into coherent narratives that articulate the value, differentiation, and trajectory of HAYAs science. You will ensure that all scientific storytelling is accurate, rigorous, and aligned with the companys strategic objectives. You will play a highly visible role in representing HAYAs scientific capabilities to internal leadership and external partners, tailoring scientific stories for senior technical and non-technical audiences while maintaining the highest standards of scientific integrity. Whats in it for me? This role offers a rare opportunity to operate at the intersection of science and business, serving as a bridge between complex biological data and strategic decision-making. You will not only analyze and interpret science, but also shape how HAYAs platform, programs, and data are translated into clear narratives that inform leadership, partners, and investors. Your work will directly influence program direction, business development opportunities, and how the companys scientific value is communicated externally. This is a highly visible role with meaningful exposure across the organization and to external stakeholders, set within a collaborative and innovative culture that values scientific curiosity, sound judgment, and ownership, and supports your continued growth as a senior scientific leader. Key Responsibilities Scientific Leadership & Platform Showcasing Stakeholder Engagement: Act as a lead scientific communicator, showcasing HAYAs data science platform and analytical capabilities to external partners, investors, and at scientific conferences. Strategic Material Generation: Drive the creation of high-quality, high-impact data packages and visualizations from analyses across multiple programs to support decision-making and external business development. Gatekeeper Function: Serve as the quality control gatekeeper for all outgoing material in the cardio-renal-metabolic context; review and validate computational outputs to ensure biological accuracy and rigorous standards before dissemination. Translational Biomarker Strategy Biomarker Identification: Lead the computational strategy for prioritizing pharmacodynamic (PD), predictive, and prognostic biomarkers from multi-omics datasets to support clinical development in the Cardio-Renal-Metabolic space. Translational Bridge: Define and execute the data strategy to translate preclinical findings (in vitro/in vivo) into clinically relevant hypotheses, ensuring alignment with industrial drug development standards. Patient Stratification: Apply advanced statistical and machine learning approaches to stratify patient populations and define responder signatures for HAYAs therapeutics in heart failure and related metabolic conditions. Computational Biology CRM-Focused Analysis: Perform and oversee end-to-end analysis of bulk, single-cell, and single-nuclei transcriptomics and epigenomics data, acting as a subject matter expert specifically within cardiac, renal, and metabolic areas. Multi-omics Integration: Integrate multi-omics data from in-house and public sources to uncover novel biology, disease-specific cell states, and perturbation signatures relevant to cardiac diseases (e.g., HCM, HF). Methodological Standards: Establish analysis strategies to handle translational datasets, setting the standard for the entire team. Cross-Functional Collaboration Narrative Construction: Synthesize data from multiple independent datasets to construct clear, biologically meaningful narratives for technical and non-technical audiences. High Autonomy & Ownership: Be able to drive high-quality material generation autonomously, taking over major responsibilities from other team members. Education & Experience Education: PhD in computational sciences (e.g., bioinformatics, computer science) or life sciences with a strong computational focus. Experience Level: Senior Scientist II: 6+ years of relevant industry post-doctoral experience. Technical Expertise: Expertise with the biological interpretation of multi-omics transcriptomic data (single-cell/nuclei RNA-Seq and bulk RNA-Seq in particular). Proficiency in R or Python and data science frameworks: HPC/cloud-based environments, Jupyter notebooks, Ai-augmented data science (e.g., Cursor, Windsurf). Biomarker Workflows: Demonstrated industrial experience in computational biomarker discovery pipelines, including feature selection, validation, and clinical utility assessment. Experience with epigenomic data (e.g., ATAC-Seq, CUT&RUN) is highly desirable. Experience with ASO / si RNA-related data interpretation is highly desirable. Domain Knowledge: Industrial CRM Expertise: Comprehensive experience with translational and industrial/biotech settings in the Cardio-Renal-Metabolic therapeutic area. Translational Insight: Proven ability to bridge the gap between early discovery and clinical translation, utilizing computational biology to support target and biomarker validation and translation. Communication: Exceptional ability to present complex data to diverse audiences (business, clinical, scientific) and experience acting as a reviewer/approver for scientific content. Exceptional ability to generate high-quality data packages and results for internal and external audiences in an autonomous way.

Perrygo is a small, rapidly growing company; we are passionate about our employees as well as supporting our customers and their mission. We are excited for the opportunity to bring aboard highly motivated and energetic individuals to join our teams. Currently, we are seeking a Senior Data Scientist- Secret Cleared. This role supports a Navy customer in San Diego, CA. Job Description and Responsibilities: 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. 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. May create dynamic data reports - Apply statistical modeling, machine learning, and data visualization techniques. - Develop predictive models and dashboards using Power BI, Qlik, or Tableau. - Analyze large structured and unstructured datasets. - Collaborate with IT, program management, and financial teams to support data-driven decisions. Basic Requirements: - 10+ years of professional data analytics experience. - Proficiency in Python, R, SQL, and visualization tools. Education Requirements: Bachelor's degree in Data Science, Statistics, or a related field. Security Clearance: Secret (must be a US Citizen) Telework and Travel: On site, Contract: This position is pending a contract award. Perrygo Consulting Group, LLC is an Equal Opportunity Employer, for all individuals, including protected veterans and those with disabilities. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, disability, or veteran status. Perrygo Consulting Group, LLC participates in E-Verify. If being a part of a small, growing company while having the opportunity to work on exciting projects with challenging tasks excites you - then please apply today! Compensation Package - We offer an excellent compensation package with competitive salaries and meaningful benefits, including: Paid Time Off (PTO)/Sick Leave 11 Paid Holidays Flexible Work Schedules (offering a healthy work-life balance whenever possible) Employee Assistance Program (EAP) Medical, Dental, and Vision LTD/STD, AD&D, and Life-Employer Paid Supplemental Life and Accident options Health Savings Account (HSA) with employer contribution 401K Plan with employer Safe Harbor contribution Profit Sharing Plan

Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward. Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, Nearmap stands as the definitive source of truth that shapes the livable world. Job Description Job Location: This is a remote position, with preference given to candidates based in the NYC metropolitan area and/or Southern CA The Insurance AI team conducts technical work to design, develop and support products that use Nearmap and third-party data to derive insurance risk insights. The Senior Data Scientist plays a pivotal role in designing, developing, and operationalizing advanced risk models that leverage Nearmap's AI data and third-party sources to deliver actionable insurance risk insights. This role bridges cutting-edge technical model development with actuarial applications, helping insurance companies integrate Nearmap's AI-driven intelligence into pricing, underwriting, modeling, and regulatory workflows. As a senior member of the Insurance AI team, you will: Lead modeling initiatives from conception through deployment. Serve as a trusted technical and domain expert for both internal teams and external clients. Drive innovation in how Nearmap's data is applied within insurance products and workflows. Provide strategic actuarial and statistical guidance to ensure models meet both technical rigor and practical business needs. This role requires the ability to seamlessly transition between in-depth technical work, high-level solution design, and client-facing consulting with senior insurance stakeholders. As such, deep experience working as a data scientist or actuary training and evaluating models in the property casualty (P&C) insurance space is critical. Key Responsibilities Technical Leadership in Model Development Lead the design, development, and refinement of insurance risk models using Nearmap AI data and other sources. Conduct exploratory data analysis, advanced feature engineering, model selection, training, validation, and performance optimization. Guide the integration of geospatial, property, and external datasets into scalable, production-ready solutions. 2. Actuarial & Regulatory Expertise Serve as a senior technical liaison to actuarial, data science, and pricing teams at insurance companies, ensuring successful adoption of Nearmap data in their workflows. Advise on and prepare regulatory filing materials, respond to objections, and ensure models meet compliance standards for property/casualty insurance. 3. Strategic Data Asset Development Spearhead efforts to grow and optimize Nearmap's proprietary policy and loss database for product and modeling innovation. 4. Client Engagement & Solution Integration Lead high-impact retro tests, validation studies, and custom analyses for top-tier insurance clients. Translate complex technical results into strategic business recommendations for senior decision-makers. 5. Thought Leadership & Mentorship Mentor junior team members on best practices in modeling, data analysis, and insurance-specific applications. Qualifications Key Requirements 5+ years of practical experience in property/casualty insurance in a data science or actuarial role, with a strong track record of delivering models and analytics in production environments. Proven leadership in complex modeling projects from ideation through deployment. Experience advising senior insurance stakeholders and influencing strategic decision-making. Required: Domain Knowledge: Deep expertise in property/casualty insurance pricing, rating, and regulatory requirements; mastery of actuarial data and modeling (Tweedie distributed data, GLMs, GBMs) and advanced statistical concepts (e.g., variable selection, overfitting, fairness testing, Gini, lift, AUC, cross-validation, sensitivity analysis). Data Science: Advanced capability in feature engineering, model validation, uncertainty quantification, and statistical testing; fluency in SQL for data extraction/manipulation. Programming: Expert in Python (NumPy, Pandas, Scikit-learn, Matplotlib) and git-based workflows. Communication: Exceptional ability to translate technical findings into actionable business insights for executive-level audiences. Data/ML Engineering: Familiarity with scalable pipelines, MLOps practices, and production deployments Highly Desirable: Experience with geospatial and imagery data (GeoPandas or similar). Prior experience integrating AI-derived datasets into insurer pricing and underwriting workflows. Additional Information Some of our benefits Nearmap takes a holistic approach to our employees' emotional, physical and financial wellness. Some of our current benefits include: Quarterly wellbeing day off - Four additional days off a year as your "YOU" days Company-sponsored volunteering days to give back. Generous parental leave policies for growing families. Access to LinkedIn Learning for continuous growth. Discounted Health Insurance plans. Monthly technology allowance. Annual flu vaccinations and skin checks. Hybrid flexibility A Nearmap subscription (naturally!). Working at Nearmap We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We're proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves. If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch. Watch some of our videos and find out more about what a day in the life at Nearmap looks like. **************************** **************************** **************************** **************************** To hear an interview with Brett Tully, Director of AI Output Systems on the Super Data Science podcast, click this link: ************************************ Mapscaping podcast: ***************************************************************************************************** Read the product documentation for Nearmap AI:********************************************** Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.

Job Description We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems. Key Responsibilities Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts Translate mission needs into analytical frameworks, model requirements, and implementation strategies Validate and tune models for performance, explainability, and operational relevance Author technical reports, white papers, and decision briefings for stakeholders and senior leadership Minimum Qualifications U.S. Citizenship with an active or interim Secret clearance Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) 10+ years of professional experience in data science and leadership or senior technical role Security+ Certification Proven experience with: Python, R, SQL, and Spark for data analysis and modeling Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost Data visualization tools like Power BI, Tableau, or Plotly Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI) Additional Preferred Qualifications Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics Familiarity with DoD data governance, data labeling, and ethical AI guidelines Strong understanding of model operationalization, A/B testing, and production monitoring Knowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architectures Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner) Ability to mentor junior data scientists and lead cross-disciplinary technical teams

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. Meet the team: Welcome to Dexcom's Behavioral Science team - a multidisciplinary group applying behavioral science, qualitative research, and data-driven insights to shape product strategy, clinical evidence, and patient-centered innovation. Within Behavioral Science, the Qualitative Workstream focuses on understanding lived experience, decision-making, motivation, and behavior change across people with diabetes and metabolic conditions. As a Senior Data Scientist, Human Behavior & Qualitative Insights, you will play a leadership role in designing and executing high-impact qualitative and mixed-methods research and translating those insights into clear, actionable guidance for Product, R&D, Clinical Affairs, Medical Affairs, and Marketing. Where you come in: Lead the design, execution, and interpretation of qualitative and mixed-methods research to address complex behavioral, clinical, and product questions across Dexcom's portfolio You will be responsible for conducting qualitative research activities, such as moderating focus groups, conducting interviews, and observing participant behavior, ensuring the collection of rich and meaningful data. Apply models of health behavior change (e.g., COM-B, Self-Determination Theory, Social Cognitive Theory, Health Belief Model, habit formation frameworks) to guide study design, analysis, and interpretation. Analyze qualitative data using advanced approaches and integrate findings with quantitative and digital-health data where appropriate. Translate rich qualitative findings into clear, actionable insights and recommendations that inform product development, digital experiences, clinical evidence strategy, and patient engagement initiatives. Serve as a strategic thought partner to cross-functional teams (Product, R&D, Clinical Affairs, Medical Affairs, Marketing), helping teams understand behavioral drivers, barriers, and opportunities. You will be responsible for preparing comprehensive research reports and presentations, effectively communicating findings, insights, and recommendations to stakeholders at all levels of the organization. You will be expected to stay updated on industry trends, methodologies, and best practices in qualitative research, continuously refining skills, and approaches to deliver high-quality insights. What makes you successful: Advanced academic training in behavioral science, psychology, public health, sociology or a related field, with strong grounding in qualitative and mixed-methods research. Demonstrated experience applying health behavior change models to real-world health, clinical, or digital-health contexts. Significant hands-on experience leading qualitative research programs from study design through analysis and stakeholder readout. Ability to synthesize complex qualitative findings and translate them into strategic insights that influence product, clinical, and business decisions. Strong communication and storytelling skills, with experience presenting to senior and cross-functional audiences. Proficiency with relevant tools (e.g., NVivo, ATLAS.ti, Qualtrics, and statistical software to support mixed-methods integration). What you'll get: A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. A full and comprehensive benefits program. Growth opportunities on a global scale. Access to career development through in-house learning programs and/or qualified tuition reimbursement. An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve. Travel Required: 5-15% Experience and Education Requirements: Typically requires a Bachelor's degree in a technical discipline, and a minimum of 5 - 8 years related experience or Master's degree and 2 -5 years equivalent industry experience or a PhD and0 2 years experience. Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option. Please note: The information contained herein is not intended to be an all-inclusive list of the 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. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at ****************************. 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 Dexcom Talent Acquisition at ****************************. Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: ***************************************************** Code=MERITAIN_I&brand Code=MERITAINOVER/machine-readable-transparency-in-coverage?reporting EntityType=TPA_19874&lock=true To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications. Salary: $116,600.00 - $194,400.00

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Department: LET - Lean Enterprise Transformation Reports To: Patrick Sparkman, Solutions Manager Are you looking for an opportunity to help innovate within the energy and manufacturing industry on a team that will challenge and inspire you? As a wholly owned subsidiary of Caterpillar, Solar Turbines is a global leader in providing innovative energy solutions that help business, governments and public institutions find the perfect balance between affordable, available and efficient energy while supporting customers sustainability-related goals. At Solar Turbines, we are dedicated to attracting and retaining the best talent. Join Solar Turbines as a Data Steward Intern and contribute to our mission of delivering high-quality, governed data that powers strategic decisions across the enterprise. This internship offers hands-on experience in data governance, stewardship, and analytics, supporting initiatives that span engineering, service, operations, and digital transformation. As a Data Steward Intern, you will be responsible for: * Support the execution of the strategic data roadmap under guidance from Data Stewards and Delegates. * Assist in profiling, cleansing, and validating master data across domains * Collaborate with business and technical teams to document data definitions, standards, and lineage. * Participate in data quality audits and help resolve issues related to accuracy, consistency, and completeness. * Contribute to the development of metadata repositories and stewardship dashboards. * Engage in cross-functional meetings and working sessions to understand enterprise data needs. Minimum Qualifications: * Currently pursuing a Bachelor's or Master's degree in Information Systems, Data Science, Business Analytics, or related field. * 2.8 GPA or higher on a 4.0 scale. * 0-5 years of relevant experience. * Must be able and willing to relocate to San Diego, CA. Preferred Qualifications: * Experience with data governance tools or frameworks. * Understanding of data lifecycle management and access controls. * Ability to work independently and in team settings. * Knowledge of the energy, oil & gas industry, power generation industry, turbomachinery market, and carbon reduction technologies. * Takes initiative, has a high energy level, and acts with a sense of urgency. * Strong verbal and written presentation abilities to communicate complex strategic topics effectively. * Strong analytical and problem-solving skills, and a good basic financial acumen Intellectual curiosity, global mindset, and passion for continual learning. * Highly organized and able to manage a variety of tasks and multiple projects. * Alignment with Caterpillar's Values in Action: Integrity, Excellence, Teamwork, Commitment, and Sustainability. Summary Pay Range: $22.50 - $39.00 Intern Hour Rate: An intern's hourly rate is based on the major/degree being pursued and the number of completed academic hours achieved before the start of the internship. Intern Benefits: The total rewards package, beyond base salary, may include if eligible: * Accrued Paid Time Off (PTO) * Paid Holidays * Paid Volunteer Day * Housing Stipend * Relocation Assistance * Medical coverage * Voluntary benefits Relocation is available for this position. Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** Posting Dates: November 5, 2025 - January 29, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Who We Are: At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs. What We Do: Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine and neuropsychiatric disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, endometriosis* and uterine fibroids,* as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X and Facebook. ( *in collaboration with AbbVie ) About the Role:Neurocrine Biosciences, Inc. (NASDAQ: NBIX) is offering the opportunity to gain scientific experience in the world of biotechnology, product development, and materials engineering. Our intern program offers exposure to the development of drug products, with hands-on experience in lab and with various types of instrumentation. This position will assist in solid-state material characterization, crystallization optimization, solubility/stability determination, preclinical formulation development, and analytical support for multiple programs in the small molecule space, as well as biologic modalities such as monoclonal antibodies, gene therapy, and peptides. _ Your Contributions (include, but are not limited to): Supporting a range of activities, including preformulation and materials science studies Executing and assisting other lab personnel in physical characterization, solubility, stability, and form screening studies in support of form selection and development activities. Maintaining and operating instrumentation and equipment required for preformulation and materials science activities Perform analysis with instrumentation including DSC, TGA, PXRD, Particle-Size Analysis, GVS/SA, PLM, SiriusT3 titration, Raman, viscometer, Microscopy (PLM, SM, SEM), HPLC, MS, and NMR Report findings and present on analysis via detailed lab notebooks and scientific reports Collaborating with a mentor team of cross-functional team members as well as the other interns in the class Completing a special project and presenting the recommendations to senior management upon completion Requirements: Pursuing an undergraduate degree with an interest in biotechnology Specific degree or field required: Chemistry, Biology, Materials Science, Chemical Engineering, or similar Prior experience in the pharmaceutical or biotechnology industry would be an asset but is not required Familiarity with biopharmaceutical technologies, physical and life sciences, product development, and regulatory approval processes is desirable Good verbal and written communication skills Ability to think creatively and be a team player Neurocrine Biosciences is an EEO/Disability/Vets employer. We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don't line up to exactly what we have outlined in the job description.

Job Description We are seeking an AI Data Scientist to support defense-related testing, engineering, integration, and sustainment activities for advanced C5ISR systems. This role focuses on data integration, advanced analytics, and the development and deployment of secure AI/ML solutions in both real-world and theoretical environments. The position supports decision-making, experimentation, and operational effectiveness through scalable and portable data-driven solutions. Key Responsibilities Conduct data integration across multiple sources and systems Investigate and develop flexible analytics solutions, including visualization, model building, and decision-support capabilities Support the secure, rapid development, training, evaluation, debugging, and deployment of AI models Develop AI/ML solutions applicable to distributed, vehicle-mounted, and on-premises environments Apply data science methodologies, standards, and frameworks to operational and test environments Required Skills & Qualifications Ability to apply data science expertise using established processes, methodologies, and frameworks Experience developing and applying data science tools in integrated test and/or operational environments Proficiency with statistical programming languages such as Python, R, and SQL Experience with programming languages such as C, C++, Java, or JavaScript Experience designing, working with, and maintaining data architectures Hands-on experience with AI/ML techniques, including large language models, clustering, decision trees, and neural networks Strong understanding of advanced statistical techniques, including regression, probability distributions, and statistical testing Active Secret security clearance Preferred Qualifications Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or a related field Knowledge of statistical analysis and data mining techniques Three or more years of experience with distributed data and computing tools Three or more years of experience developing and applying advanced machine learning and statistical models, including regression, simulation, modeling, clustering, and neural networks Experience visualizing data and presenting analytical results to technical and non-technical stakeholders

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems. Key Responsibilities Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts Translate mission needs into analytical frameworks, model requirements, and implementation strategies Validate and tune models for performance, explainability, and operational relevance Author technical reports, white papers, and decision briefings for stakeholders and senior leadership Minimum Qualifications U.S. Citizenship with an active or interim Secret clearance Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) 10+ years of professional experience in data science and leadership or senior technical role Security+ Certification Proven experience with: Python, R, SQL, and Spark for data analysis and modeling Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost Data visualization tools like Power BI, Tableau, or Plotly Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI) Additional Preferred Qualifications Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics Familiarity with DoD data governance, data labeling, and ethical AI guidelines Strong understanding of model operationalization, A/B testing, and production monitoring Knowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architectures Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner) Ability to mentor junior data scientists and lead cross-disciplinary technical teams