Senior data scientist jobs in Escondido, CA

At HAYA Therapeutics, we are revolutionizing RNA-guided genome-targeting therapies to treat fibrosis, heart failure, and other serious diseases associated with aging. Our innovative platform leverages long non-coding RNAs (lnc RNAs)-key regulators within the “dark matter” of the genome-to develop first-in-class, highly specific therapies that modulate gene expression and restore cellular function. Recognized for our innovation, HAYA received the prestigious Innosuisse Certificate for Sustainable Growth and has been nominated as TOP Innovative Companies in Switzerland 2025. HAYA's vision is to pioneer the development of next-generation biopharma, leveraging causal disease biology and AI-enabled functional genomics and systems biology to develop precision disease-modifying therapies for common and chronic diseases. By unlocking the full potential of the regulatory genome, our platform enables rapid de-risked target discovery and scalable drug development across multiple therapeutic areas. As a fast-growing biotech, we offer an entrepreneurial, science-driven environment where you'll have a direct impact on shaping our pipeline and advancing RNA medicine. Position Summary: HAYA Therapeutics is seeking a talented and experienced Computational Biologist with deep knowledge of cardiac biology and transcriptomics to join our data science team. In this highly collaborative and impactful role, you will leverage bulk, single-cell and single-nuclei transcriptomic and epigenomic omics data to drive translational research and biomarker discovery in cardiac settings. You will apply innovative computational approaches to uncover novel biology and therapeutic opportunities relevant to cardiac diseases. HAYA deploys a combination of experimental and computational solutions for target and drug discovery in the non-coding regulatory genome space. To this end, we leverage multiple omics modalities, including transcriptomic profiling (e.g., single-cell and single-nuclei RNA-Seq, bulk RNA-Seq). You will apply your end-to-end expertise in transcriptomics data preprocessing and downstream analysis to contribute to scientific discoveries and the advancement of our precision RNA-based therapeutics for cardiovascular diseases. The entire Data Science team across Haya programs will use the analysis templates and approaches you establish to handle complex datasets. The Data Science team is central to HAYA's vision by pioneering innovative AI and advanced computational biology solutions to overcome current scientific, methodological, and operational bottlenecks. We leverage complex biological datasets to remove operator biases, enabling the rapid end-to-end execution of HAYA's pipeline. Our approach ensures precision-driven decision-making, which enables target drug discovery, biomarkers, translational, clinical, and business strategies, reinforcing HAYA as a leader of next-generation biopharma. What's in it for me? At HAYA, you won't just analyze data - you'll help shape the future of RNA-based therapeutics. This is a unique opportunity to apply your scientific expertise to uncover novel biology in the non-coding regulatory genome and translate those discoveries into real therapeutic potential. You'll be part of a deeply collaborative and forward-thinking team, working at the intersection of data science, functional genomics, and drug discovery. Here, your insights won't sit on a shelf - they'll directly influence the development of treatments for patients with serious cardiovascular and fibrotic diseases. We offer a dynamic, innovative culture where scientific curiosity is celebrated, your voice is heard, and your growth is supported. Whether you're leading high-impact projects, engaging with cross-functional teams, or learning something new every day, you'll find a meaningful and rewarding career path at HAYA. Key Responsibilities: Perform bulk, single-cell, and single-nuclei transcriptomics computational analysis, mainly on (but not limited to) cardiac tissue and disease-related data. Be an internal expert on cardiac transcriptomics, consulted across multiple settings including target MoA and validation, biomarkers, translation, and pre-clinical and clinical settings. Conduct in-depth investigations using both in-house and publicly available datasets to uncover cardiac disease- and perturbation-specific cell states and transcriptional programs. Integrate transcriptomic data (including single-cell data and bulk RNA-Seq) from multiple independent datasets to inform biomarker discovery and validation strategies. Prepare and communicate high-quality scientific reports, visualizations, and presentations for both technical and cross-functional stakeholders. Education & Experience: PhD in computational sciences (e.g., bioinformatics, computer science) or life sciences with a strong computational focus, or equivalent industry experience (6+ years). Deep expertise in transcriptomic data analysis, including single-cell and single-nuclei RNA-Seq and bulk RNA-Seq data analysis, covering preprocessing, integration, and biological interpretation. Deep knowledge on cardiac biology and cardiac diseases, including HCM and HF, and ability to relate it to transcriptional dynamics across different cell types and states. Proven ability to integrate data from multiple sources to construct clear, biologically meaningful narratives, with a demonstrated track record of delivering high-quality single-cell/nuclei RNA-Seq and bulk RNA-Seq data packages. Proficient in R or Python, with experience working in Linux-based computing environments, including remote server access and basic Bash scripting. Experience with primary epigenomic data analysis (e.g., ATAC-Seq, PRO-Seq, GRO-Seq, CUT&RUN, chromatin conformation capture) to identify functional regions in the regulatory genome is a plus. Excellent written and verbal communication skills in English, with the ability to clearly present complex data to diverse audiences. HAYA Therapeutics is an Equal Opportunity Employer committed to fostering a diverse, inclusive, and equitable workplace where all individuals feel valued and empowered. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, marital or familial status, veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws. We prohibit discrimination and harassment of any kind and are committed to ensuring fair and equitable treatment in all aspects of recruitment, hiring, promotion, compensation, benefits, training, and career development. At HAYA, we believe that diversity of thought, experience, and background drives innovation and strengthens our mission to transform patient care through cutting-edge RNA-based therapeutics.

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

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.

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

**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

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

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

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 ********************

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.

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.

Applicants must have current authorization to work in the United States on a full-time basis. The Data Scientist is responsible for the collection, management, and analysis of internal data to support modeling and collections strategies across all revenue channels. The Data Scientist is also responsible for the score-based valuation of existing collections portfolios at all levels of aggregation and/or the development of credit scores to support valuation and collections activities; collaborates with group analysts as they specify and validate collections strategies, maintain collections forecasts, and revise and improve our predictive models. This position works with partners in Marketing, Acquisitions, and Operations to aid in the development and implementation of score-based and logic-based collections practices. This role is equally comfortable discussing the academic merits of a statistical and advanced machine learning approaches or the ways in which a forecasting model will impact a business channel's revenue and cost expectations RESPONSIBILITIES Works with partners in Operations to aid in the development and implementation of score-based and logic-based collections practices. Works closely with Managers during the creation and validation of valuation products. Responsible for the collection, management, and analysis of internal data to support modeling and collections strategies. Implements, tracks, and validates score-based collections strategies. Facilitates the use of Data Science methodologies throughout the servicing operation. MINIMUM REQUIREMENTS EDUCATION: Bachelor's FIELD OF STUDY: Statistics, Engineering, or qualitative science EXPERIENCE: 2+ years of Data Scientist or related experience KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: Intermediate to Advanced Proficiency in MS Office and other systems Extensive understanding of relevant knowledge Intermediate to Advanced Proficiency of the following: Proficiency with base SAS and Python or R Expertise with formal statistical methodologies Strong knowledge of some or all the following: Logit models Generalized linear models. Categorical data analyses ANOVA and regression ML packages, cloud computing Proficiency with MS Office, particularly Excel. PREFERRED QUALIFICATIONS EDUCATION: Master's or Advanced FIELD OF STUDY: Statistics, Engineering or a quantitative science EXPERIENCE: Additional experience that would help; quantify where possible KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: Intermediate to Advanced Proficiency in MS Office and other systems Extensive understanding of relevant knowledge Intermediate to Advanced Proficiency Proficiency with base Python or R Expertise with formal statistical methodologies Strong knowledge of some or all the following: Logit models Generalized linear models. Categorical data analyses ANOVA and regression ML packages, cloud computing Proficiency with MS Office, particularly Excel. #LI-KL1 Starting Compensation Annual Salary: $82,500.00 - $107,199.00 (Amount based on office location, relevant experience, skills, and competencies) If you are wondering why you should work for us, here is something to help you decide: Pay and Bonuses: Earn a competitive salary. All employees are eligible for monthly incentives or annual bonus. Career Progression: Grow at MCM with paid training and development programs - including our very own MCM Academy - as well as a promote-from-within philosophy. Reward and Recognition: We are committed to honoring great results - ranging from informal accolades to formal company-wide awards and prizes like all-inclusive vacations. Tuition Assistance: Pursue a degree or coursework related to your current role, or the role you are striving for. Healthcare Insurance: Take advantage of comprehensive healthcare plans and options to ensure your continued health, plus fitness membership reimbursements, weight watchers, our wellness rewards Program and more. Volunteering Opportunities: Enjoy up to eight hours of paid time off each year to volunteer. We also offer volunteer grants and matching financial donations, up to US$ 2,500 per employee annually. Retirement Savings: Build a strong financial foundation and reach your goals for the future. With all the effort you invest in us, we're proud to invest in you. New Family Support: Celebrate your new arrival with company paid leave, new parent flex time, and child back-up care options. Team-building: Enjoy experiences that inspire bonds with your colleagues through a wide range of company-sponsored team-building events, such as holiday celebrations and department outings. Work-Life Balance: Enjoy paid and floating holidays, as well as generous paid-time-off. Our compensation and benefits programs were created with an 'Employee-First Approach' focused on supporting, developing, and recognizing YOU. We offer a wide array of wellness and mental health initiatives, support volunteerism, and environmental efforts, encourage employee education through leadership training, skill-building, and tuition reimbursements, and always strive to provide promotion opportunities from within. About Us Headquartered in the United States, Encore Capital Group (Encore) is a publicly traded international specialty finance company operating in various countries around the globe. Through our businesses - such as Midland Credit Management and Cabot Credit Management - we help consumers to restore their financial health as we further our Mission of creating pathways to economic freedom. Our commitment to building a positive workplace culture and a best-in-class employee experience have earned us accolades including Great Place to Work certifications in many geographies where we operate. If you have a passion for helping others and thrive at a company that values innovation, inclusion and excellence, then Encore Capital Group is the right place for you. Encore Capital Group and all of its subsidiaries are proud to be an equal opportunity employer and are committed to fostering an inclusive and welcoming environment where everyone feels they belong. We encourage candidates from all backgrounds to apply. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected under applicable law. If you wish to discuss potential accommodations related to applying for employment, please contact ****************.

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

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

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Staff Data Scientist - Experimentation & Measurement San Diego, CA (Hybrid) Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You'll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Passion for video games, player communities, or the gaming industry. #LI-GD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $194,600 - $291,800 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Who we are: Globalstar pioneered personal safety by introducing its SPOT Satellite GPS Messenger in 2007. Today, leveraging its low-earth orbit (LEO) satellite constellation, Globalstar reliably connects and protects assets, transmits key operational data, and saves lives - from any location - for consumers, industrial companies and government agencies in over 120 countries. With a portfolio that includes SPOT GPS messengers, next-generation IoT products and modems, and cloud-based telematics solutions, Globalstar's cost effective satellite-powered innovations give users visibility and intelligence for improving safety and operational efficiencies. What you will be doing at Globalstar As a Data Handling Subsystem Satellite Engineer, you will develop flight control, PID, and data acquisition software for satellite subsystems that include AOCS and all electrical components. You will work with a cross-functional team of high performing satellite systems and software engineers. Duties/Responsibilities: * Work with a team of engineers to monitor and maintain the Globalstar space asset of multiple generations of satellites * Establish and maintain subject matter expertise in the Globalstar Satellite Data Handling Subsystem * Write and maintain satellite operations procedures and scripts * Participate in real time operations for nominal operations, anomaly resolution, and anomaly recovery * Monitor satellite operations in real-time to confirm nominal performance or recommend contingency actions * Develop and maintain tools to streamline satellite and ground operations * Support development for new onboard algorithms * Prepare commanding requests for operators in accordance with established operations plan * Oversee the execution of commanding as necessary * Perform all required telemetry monitoring and analysis, both short and long-term, in order to assure satellite safety What you will bring to Globalstar * Bachelor's or higher in Electrical Engineering, Computer Science or Computer Engineering * 7+ years of experience developing and coding high reliability data handling software in C++ and Python * 7+ years of experience coding PID controllers for satellite data handling subsystems * 3+ years of experience coding space base control algorithms * Experience troubleshooting space-based systems * Familiarity with LEO or GEO satellites It's a bonus if you have: * Master's or higher in Electrical Engineering, Computer Science or Computer Engineering * 10+ years of experience developing and coding high reliability data handling software in C++ and Python * 10+ years of experience working on satellite data handling subsystems * Familiarity with ADA Physical Requirements: * Prolonged periods of sitting at a desk and working on a computer Marginal Functions: A review of this may have omitted some of the marginal functions of the position that are incidental to the performance of the job duties and responsibilities. This job description, in no way, states or implies that these are the only duties and/or responsibilities to be performed by the employee in this position. The employee in this position will be required to follow any other job-related instructions and to perform any other job-related duties requested by his/her supervisor. Skills and Competencies: * Excellent verbal and written communication skills, including the ability to interact clearly and concisely with all departments and levels of management * Excellent organizational skills with attention-to-detail * Ability to meet multiple deadlines in a fast-paced environment * Ability to effectively manage time and prioritize tasks * Ability to act with integrity, professionalism, and confidentiality * Proficiency with Microsoft Office * Familiarity with NetSuite * Strong problem-solving skills, especially under time constraints * Ability to identify and seek needed information What Globalstar offers: * Work/Life Balance: Paid Time Off, Paid Holidays * Financial Benefits: 401(k) Plan with Company Match, Employee Stock Purchase Program, Voluntary and Company Paid Group Life Insurance, Short- and Long-Term Disability Insurance, Medical FSA, Dependent Care, Competitive Salaries * Health & Wellness: Health Insurance, Dental Insurance, Vision Insurance, Employee Assistance Program, Comprehensive and Interactive Wellness Program

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.

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 data scientist to join our Data Analysis Team (DAT), as part of the R&D group for Veracyte Inc. This position offers a unique opportunity to work with experienced professionals to carry out AI/ML modelling and analysis of the world's largest database of cancer patients, encompassing multi-platform digital pathology, genomic and clinical outcome data. The primary objective of this role is to analysis millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes. The successful candidate needs to be proficient in state-of-art data extraction, transformation and loading (ETL), and statistical analysis to convert data into meaningful insights and stories. The candidate will also need to communicate and understand business needs, identify relevant data, process and analyze data accordingly. Experience of academic writing and prepare data/figures for manuscript are necessary for success in this position. The candidate should also be able to design graphics to explain AI models with known clinical or genomic features. Strong track record of publishing in both clinical and technical peer-review journals or conferences is highly desired. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Assist in analyzing real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs. Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text. Assist in conducting statistical analysis and survival modelling for the clinical events defined from real-world data. Ability to visualize finding from the data and summarize them in a coherent story. Support data scientists in developing digital pathology AI models Work with bioinformatician, statistician, and medical experts in manuscripts. Who You Are: REQUIRED EXPERIENCE: PhD in Statistics, Data Science, or equivalent field. 3+ years of experience of data/applied scientist role or equivalent. Experience in working with real-world data of insurance claims and EHR records Proficient in SQL and R. Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent. Proficient 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): Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) is desirable. Knowledge of basic bioinformatics, genomics, and cancer biology Past research experience in urological oncology, bioinformatics, digital pathology, or relevant fields Research experience with developing AI models such as LLM, vision/time series foundation models. #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$101,000-$140,000 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 ********************

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