Senior data scientist jobs in Poway, CA

Job DescriptionScismic 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.

Senior Data Scientist - Urban Mobility and Location Intelligence On-Site (3+ days / week) - SAN DIEGO, CALIFORNIA (Little Italy) About Us Motionworks is a leader in population intelligence-providing past, present, and predictive insights on how the total population moves throughout the physical world. We transform billions of GPS traces, POI databases, and behavioral signals into actionable insights for retailers, advertisers, urban planners, and transportation agencies across North America. Our Population Intelligence Platform tackles one of the hardest problems in data science: inferring population-level behavior from sparse, noisy, messy location data. We don't have the luxury of clean datasets-we work with terabytes of real-world GPS traces where some data is good, some is not, and the signal often hides in the noise. Job Summary We're hiring a Senior Data Scientist to lead methodology development for our core population modeling systems. This is not a data engineering role-we have engineers who productionize your work. This is an applied research and modeling role where you'll design, defend, and validate statistical models that turn observed travel behavior from millions of devices into robust population-level insights. At the end of the day, we need results, not just research. Your work will directly shape how we measure foot traffic, predict travel patterns, and distinguish meaningful signals from noise at national and international scale. You will be tasked with: Designing and validating Bayesian inference models to extrapolate observed location data to unobserved populations Developing methods to distinguish personal travel from commercial delivery patterns in ambiguous GPS traces Building statistical frameworks for handling varying data quality and penetration rates across geographies Creating defensible models for trip purpose inference, stay-point detection, and behavioral segmentation Writing concise technical documentation to explain methodology to internal stakeholders and clients Prototyping approaches that engineering teams can translate into production pipelines (Python, SQL, or other cloud-native tools) Recommending new data acquisitions and validation techniques to improve model performance Required Qualifications and Skills 8-10 years of applied experience working with large-scale location, mobility, or behavioral data (OR Master's/PhD + demonstrated applied work in transportation/retail analytics) Proven experience at scale with messy, real-world datasets-hundreds of millions of records, imperfect data quality, sparse observations Deep statistical foundations: Can derive likelihood functions, explain model assumptions, defend methodological choices with mathematical rigor Bayesian inference expertise: Experience with hierarchical models, prior specification, and uncertainty quantification-critical for extrapolating from sparse observations to population-level insights and handling varying data quality across geographies Strong technical skills: Python (NumPy, pandas, scikit-learn, statsmodels, PyMC or similar) and SQL for complex queries and data exploration in BigQuery/Spark environments Domain intuition: Understanding of how people move through cities-even if you discover patterns empirically, you should recognize when results align with or contradict transportation theory Ideal Background Experience at a technology company working on mobility/logistics problems at global scale Familiarity with travel behavior concepts (trip chaining, mode choice, origin-destination modeling) GIS/geospatial analysis skills (PostGIS, H3, spatial joins) Exposure to travel survey data (NHTS, household travel surveys) Salary Range $200k-$240k Location San Diego, California (Little Italy) Benefits Medical, dental, and vision coverage for you and your dependents First year of employment gives two weeks of PTO, four weeks thereafter 14 holidays and flex holidays 401(k) plan Employee equity Applicants must be legally authorized to work in the United States. This position is not eligible for employer-sponsored work visas now or in the future. Motionworks does not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factor.

**Senior Scientist Data Science** We are seeking a highly skilled data scientist specialized in modeling receptor interactions for molecule discovery. 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 in taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to drive 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 and AI 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 Machine Learning and protein AI models of receptor-ligand interactions to drive receptor science using deep structural biology knowledge. + Perform in silico screening, docking analyses and energy calculations. + 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 Machine Learning 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:** + Ph.D. or similar experience in Receptor Biology, Structural Biology, Computer Science, AI, or a related field. + 3-7 years of additional academic or industrial work experience in ingredients, or small molecule discovery, ideally in the chemosensory biology field. + Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. + Strong skills in computational structural biology, virtual docking and molecular dynamics simulations, including hands-on experience with modern protein AI tools. + Deep understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. + Proficiency in modern Machine Learning, python, good code management/version control such as Git, and working with CI/CD pipelines. Experience with AWS or Azure cloud computing environments is a plus. + 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 $ 128,00-$183,000. **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

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

Requirements Bachelor's degree in Data Science, Statistics, or a related field. 10+ years of professional data analytics experience. Proficiency in Python, R, SQL, and visualization tools. Must possess an active Secret Clearance - Required This contractor and subcontractor shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. Salary Description $126,000-$146,000

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 with an accrual rate of 5.23 hours per pay period (equal to 17 days per year) • 11 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

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

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced AI/ML data scientist to join our Veracyte's Data Science team. This position offers a unique opportunity to work with experienced professionals to drive research and develop new diagnostic products employing one of the world's largest clinical cancer databases, encompassing multi-platform digital pathology, genomic and clinical outcome data. The successful candidate will develop digital pathology AI models for a wide range of clinical and pathology outcomes by applying and adapting state-of-the-art vision/vision-language foundation models to whole-slide images (WSIs). As a Data Scientist III at Veracyte, the candidate will be expected to assist in developing innovative solutions to complex problems under company's objective. This work will be conducted in close collaboration with other teams, including internal medical and business development teams, as well as key opinion leaders, with whom we collaborate on identifying relevant data, and developing computer vision models. The ability to explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures will be key necessary talents. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Develop digital pathology AI (DPAI) models with WSI data to predict clinical outcome and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte's data. Evaluate and analyze DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. Design and carry experiments to compare and evaluate DPAI methods. Document and explain the results. Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly. Work with bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. Who You Are: REQUIRED EXPERIENCE: PhD in Data Science, Machine Learning, Applied Math or equivalent field. 5+ years of experience of data/applied scientist role or equivalent Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes data manipulation and preparation.) Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Knowledge of cancer biology Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD). Experience working with real world clinical data. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$130,000-$171,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************

At ASML, we believe in harnessing the power of data to shape the future of technology. As a Data Scientist, you contribute directly to breakthroughs in semiconductor manufacturing, ensuring our products continue to transform how the world connects, creates, and innovates. In this role, you work in our Data Science department, collaborating with diverse teams to solve challenges that impact real-world applications. Located in Wilton, Connecticut, you bring your passion for data and problem-solving to an inclusive and dynamic workplace, whether you are early in your career or bringing years of experience. Role and Responsibilities As a Data Scientist, you play a pivotal role in leveraging data to drive insights and solutions for ASML's business and technology goals. In this candidate-centered position, you will: Analyze complex datasets to uncover trends and patterns that support strategic decision-making Design and implement predictive models to address technological challenges within the semiconductor industry Collaborate with cross-functional teams to translate business needs into data-driven solutions Communicate findings in a clear and actionable manner to technical and non-technical audiences Develop data visualization tools that make insights accessible and impactful Ensure the quality and integrity of data through robust validation and testing processes Stay up to date with best practices in data science and apply them to ongoing projects Education and Experience Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field 1 or more years of experience applying data science methods in a professional or academic setting Experience working with industry-standard tools such as Python, R, or SQL Background in developing and deploying predictive models using real-world datasets Experience in the technology or manufacturing sector is a plus Skills As a Data Scientist at ASML, you bring a blend of technical expertise, curiosity, and collaboration. You thrive in a diverse environment and are motivated to solve problems with creativity and precision. These essential skills help you succeed in the role: You apply statistical methods and machine learning techniques with confidence You communicate complex ideas clearly to a variety of audiences Data Cleansing (ETL) Deep understanding of statistics Data storytelling You handle large datasets efficiently and with attention to detail You are comfortable using data visualization tools to share your insights You work effectively both independently and as part of a team You approach challenges with a growth mindset and a willingness to learn You manage your time and priorities to meet deadlines You demonstrate ethical responsibility in handling data and information You proactively seek feedback and opportunities for personal and professional development You adapt quickly to new technologies and evolving project requirements The current base annual salary range for this role is currently: $99,375-165,625 Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US. All new ASML jobs have a minimum application deadline of 10 days. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

Genomic Life is seeking an experienced Data Scientist to join our team! The Data Scientist is responsible for analyzing large-scale genomic data using statistical methods, machine learning, and bioinformatics to find and deliver clinical insights. Working with the Medical Affairs group as part of the Data Engagement Team, you will be focused on compiling, analyzing, and interpreting large data sets to identify trends and uncover insights. You will partner with the Head of Medical Affairs and other key stakeholders to deliver these high-quality insights to Genomic Life's clients and demonstrate the value of genomics and navigation. Job Type: Full-time Location: San Diego or Remote Salary Range: $110-150k Responsibilities: Compile, analyze, and interpret large data sets to identify trends, patterns, and provide key business and client insights Refine and enhance client-centric reporting requirements and continuous data insights for scientific and commercial initiatives Develop a database resource for broad analysis and assessment across multi-sourced genetic and clinical data Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases Develop reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools Identify relevant data sources and sets to mine for client needs, and collect large structured and unstructured datasets Maintain continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support Design, develop, and implement valuable data-driven solutions for the organization Serve as a lead data strategist to identify new datasets that can be leveraged through our product capabilities Collaborate with the product team to implement analytical models and standard validation procedures for data sets to release to production Transition validated data sources to a self-service analytic and reporting framework Work to develop AI generated insights for analytics and forecasting Partner with the product and operational teams to enhance our internal processes for business analytics, data quality monitoring, data issue resolution and operational excellence Requirements: 5 or more years of experience in a data scientist role Bachelor's degree or higher in computer science, mathematics, engineering, or a related field Deep experience with medical data/records Experience with genetic data, genetic terminology and HPO terms Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Knowledge of AWS managed services is preferred (S3, DynamoDB) Ability to work effectively in a dynamic, research-oriented group with multiple concurrent projects and competing priorities Strong written and verbal communication with experience preparing manuscripts a plus Strong analytical capabilities Strong attention to detail, and excellent time-management skills Knowledge of Salesforce.com Knowledge of JIRA, Confluence, and other project management tools Ability to work in fast paced, start-up environment Experience in the employer benefits space is preferred About Genomic Life: Genomic Life's mission is to be the best in the world at navigating individuals to the genomics that matter. We provide clinically relevant proactive genetic testing all in one program, making it easy to prevent, diagnose, and treat disease. Our nationwide team is driven to make a difference for the members, clients, and patients we serve. We are bringing the science of today to the medicine of tomorrow. We are passionate about what we do and the extraordinary transformation that genomics will have on healthcare.

Are you searching for an opportunity to take your career to the next level? Ignite Digital Services is a fast-growing digital transformation company serving the national security sector. Our small business applies data science, program management and technical domain expertise to help clients implement data-driven approaches that maximize operational efficiencies. We've redefined what it means to be a leader in our industry by creating and maintaining effective and rewarding working relationships with our clients, partners and internal team members. Our company culture is built upon a team-based approach, which offers continuous opportunities for personal growth and innovation, while providing unmatched value to our clients. Perks of Working at Ignite Digital Services: Competitive pay and benefits, including PTO Education stipends and referral bonuses Compelling work with the U.S. federal government Strong emphasis on volunteer and community engagement Opportunity to shape the future of our industry Supportive colleagues and management who invest in your growth We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact. Responsibilities: Collect, process, and analyze large structured and unstructured datasets from multiple sources Develop, test, and deploy machine learning models to solve business problems and optimize operations Design and implement statistical models, data pipelines, and predictive analytics solutions Communicate findings and insights clearly through visualizations, dashboards, and reports Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation Stay current with emerging data science methodologies, tools, and industry best practices Ensure compliance with data governance, privacy, and security standards Qualifications: Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred) 2 to 5+ years of applied experience in data science, machine learning, or analytics Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred Strong problem-solving and critical thinking abilities Excellent communication skills to translate complex data insights into actionable business recommendations Ability to work independently and in a collaborative team environment Detail-oriented with a passion for continuous learning and innovation Ability to obtain DOD Secret clearance Technical Skills: Proficiency in Python or R for statistical modeling and machine learning Strong knowledge of SQL and experience with relational and non-relational databases Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) Schedule: 100% onsite in San Diego, CA Salary: 120k+ to align with experience and education Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Ignite Digital Services is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors. Equal Opportunity Employer/Veterans/Disabled For individuals who would like to request an accommodation, please visit ********************** (CA) or ********************** (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. OFCCP'S Pay Transparency Rule EEO is the Law Poster

Job Description At AoPS, data sits at the heart of how we grow and deliver our mission. We serve tens of thousands of students around the world, generating data about how families discover us, how students learn, and how our operations scale. Yet, like our curriculum and teaching, the true value of our data comes from how well we can translate it into actionable insight. AoPS is unique because it brings together academics, operations, and technology under one roof. We design our own curriculum, run physical academies, deliver online courses, and build the platforms that power it all. This created a rich and complex data environment--one that grew organically as the business grew and we are working on creating a more cohesive stack so every business line runs on the same system. Your job will be to turn raw data into clear, actionable insights, while proactively identifying areas for improvement. We are hiring a Data Scientist to support our Academics department and course experience team with learning research, advanced analytics, and experimentation. In this role, you will bridge the gap between the data that our curriculum developers and customers generate and the evidence we need to improve learning outcomes, instructional design, and student experience. You will own analytic frameworks, build statistical and machine learning models, and collaborate closely with curriculum developers, product teams, and senior academic leadership. The Data Scientist (Academics) will: Take ownership of learning analysis and applied research for the Academics department, ensuring analyses, models, and data tools are accurate and aligned with strategic goals. Partner with stakeholders to translate academic, curriculum, and product questions into testable hypotheses, measurable outcomes, and business decisions. Work with the data team to define, govern, and validate the metrics, features, and data structures needed to support consistent, science-driven analyses. Use SQL and Python to power analyses, modeling, reproducible research, and data-driven recommendations. Proactively investigate patterns and anomalies in learning data to uncover meaningful trends, identify drivers of student outcomes, and separate actionable insights from background noise. Champion data literacy and effective analytic practices across the organization. Completes other tasks and responsibilities, as assigned. The ideal candidate has: 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact. Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing). Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable. Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets. Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis. We use Redshift and dbt. Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker. We use Lightdash. Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team. Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 137.8k-169.6k. Here are some things you can look forward to: Impact: Transform learning data into evidence-based insights that help us create more effective courses and better outcomes for the next generation of problem solvers. Flexibility: Casual work environment with a hybrid work week and flexible scheduling Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401K with company match Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve Ease of Transition: Relocation bonus (if currently located outside of San Diego) Background Check: Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.

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

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 are looking for a motivated and detail-oriented Data Scientist for the Business Product Solution (BPS) group within the Mechanical Engineering Department of GA-ASI. The BPS group acts as the spearhead to develop and maintain cross-functional internal systems used for project planning, design controls and resource management. The Data Scientist will collaborate closely with cross-functional partners to translate complex data into actionable insights, communicate findings and recommendations to leadership, and help define analytical objectives that support the group's strategic goals. Additionally, they will contribute to the design, development, and implementation of data-driven tools, models, and processes that enhance decision-making and operational efficiency. This position is located in Poway, CA. DUTIES AND RESPONSIBILITIES: Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement. Develop, refine, deploy, and support statistical and machine learning models. lnteract with stakeholders to identify questions and issues for data analysis and experiments, document findings and may make technical presentations to business stakeholders as required. Communicate insights and findings from analysis and experiments to leadership, partner groups, and end users (Engineers and Managers). Recommend solutions to moderately complex technical and procedure issues. Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements. Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner. Perform 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 or master's degree in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution. May substitute equivalent experience in lieu of education. Must have a general understanding of data science concepts, principles, and theory with technical experience, demonstrating the application of those concepts. Self-motivated to analyze stakeholder requirements and align them with available data sources, analytical methods, and machine learning models to design, prototype, and implement data-driven solutions that meet business objectives. Experience with SQL, Python, statistical analysis methods, machine learning models and data visualization software preferred. The ability to maintain the confidentiality of sensitive information. Good computer skills. Ability to work independently or lead in a team environment is essential, as is the ability to work extended hours and travel as required.

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

Job Description Senior Data Scientist - Urban Mobility and Location Intelligence On-Site (3+ days / week) - SAN DIEGO, CALIFORNIA (Little Italy) About Us Motionworks is a leader in population intelligence-providing past, present, and predictive insights on how the total population moves throughout the physical world. We transform billions of GPS traces, POI databases, and behavioral signals into actionable insights for retailers, advertisers, urban planners, and transportation agencies across North America. Our Population Intelligence Platform tackles one of the hardest problems in data science: inferring population-level behavior from sparse, noisy, messy location data. We don't have the luxury of clean datasets-we work with terabytes of real-world GPS traces where some data is good, some is not, and the signal often hides in the noise. Job Summary We're hiring a Senior Data Scientist to lead methodology development for our core population modeling systems. This is not a data engineering role-we have engineers who productionize your work. This is an applied research and modeling role where you'll design, defend, and validate statistical models that turn observed travel behavior from millions of devices into robust population-level insights. At the end of the day, we need results, not just research. Your work will directly shape how we measure foot traffic, predict travel patterns, and distinguish meaningful signals from noise at national and international scale. You will be tasked with: Designing and validating Bayesian inference models to extrapolate observed location data to unobserved populations Developing methods to distinguish personal travel from commercial delivery patterns in ambiguous GPS traces Building statistical frameworks for handling varying data quality and penetration rates across geographies Creating defensible models for trip purpose inference, stay-point detection, and behavioral segmentation Writing concise technical documentation to explain methodology to internal stakeholders and clients Prototyping approaches that engineering teams can translate into production pipelines (Python, SQL, or other cloud-native tools) Recommending new data acquisitions and validation techniques to improve model performance Required Qualifications and Skills 8-10 years of applied experience working with large-scale location, mobility, or behavioral data (OR Master's/PhD + demonstrated applied work in transportation/retail analytics) Proven experience at scale with messy, real-world datasets-hundreds of millions of records, imperfect data quality, sparse observations Deep statistical foundations: Can derive likelihood functions, explain model assumptions, defend methodological choices with mathematical rigor Bayesian inference expertise: Experience with hierarchical models, prior specification, and uncertainty quantification-critical for extrapolating from sparse observations to population-level insights and handling varying data quality across geographies Strong technical skills: Python (NumPy, pandas, scikit-learn, statsmodels, PyMC or similar) and SQL for complex queries and data exploration in BigQuery/Spark environments Domain intuition: Understanding of how people move through cities-even if you discover patterns empirically, you should recognize when results align with or contradict transportation theory Ideal Background Experience at a technology company working on mobility/logistics problems at global scale Familiarity with travel behavior concepts (trip chaining, mode choice, origin-destination modeling) GIS/geospatial analysis skills (PostGIS, H3, spatial joins) Exposure to travel survey data (NHTS, household travel surveys) Salary Range $200k-$240k Location San Diego, California (Little Italy) Benefits Medical, dental, and vision coverage for you and your dependents First year of employment gives two weeks of PTO, four weeks thereafter 14 holidays and flex holidays 401(k) plan Employee equity Applicants must be legally authorized to work in the United States. This position is not eligible for employer-sponsored work visas now or in the future. Motionworks does not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factor.

At AoPS, data sits at the heart of how we grow and deliver our mission. We serve tens of thousands of students around the world, generating data about how families discover us, how students learn, and how our operations scale. Yet, like our curriculum and teaching, the true value of our data comes from how well we can translate it into actionable insight. AoPS is unique because it brings together academics, operations, and technology under one roof. We design our own curriculum, run physical academies, deliver online courses, and build the platforms that power it all. This created a rich and complex data environment--one that grew organically as the business grew and we are working on creating a more cohesive stack so every business line runs on the same system. Your job will be to turn raw data into clear, actionable insights, while proactively identifying areas for improvement. We are hiring a Data Scientist to support our Academics department and course experience team with learning research, advanced analytics, and experimentation. In this role, you will bridge the gap between the data that our curriculum developers and customers generate and the evidence we need to improve learning outcomes, instructional design, and student experience. You will own analytic frameworks, build statistical and machine learning models, and collaborate closely with curriculum developers, product teams, and senior academic leadership. The Data Scientist (Academics) will: Take ownership of learning analysis and applied research for the Academics department, ensuring analyses, models, and data tools are accurate and aligned with strategic goals. Partner with stakeholders to translate academic, curriculum, and product questions into testable hypotheses, measurable outcomes, and business decisions. Work with the data team to define, govern, and validate the metrics, features, and data structures needed to support consistent, science-driven analyses. Use SQL and Python to power analyses, modeling, reproducible research, and data-driven recommendations. Proactively investigate patterns and anomalies in learning data to uncover meaningful trends, identify drivers of student outcomes, and separate actionable insights from background noise. Champion data literacy and effective analytic practices across the organization. Completes other tasks and responsibilities, as assigned. The ideal candidate has: 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact. Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing). Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable. Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets. Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis. We use Redshift and dbt. Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker. We use Lightdash. Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team. Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 137.8k-169.6k. Here are some things you can look forward to: Impact: Transform learning data into evidence-based insights that help us create more effective courses and better outcomes for the next generation of problem solvers. Flexibility: Casual work environment with a hybrid work week and flexible scheduling Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401K with company match Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve Ease of Transition: Relocation bonus (if currently located outside of San Diego) Background Check: Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.

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

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