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Cybersecurity Engineer III **
Simventions, Inc.-Glassdoor ✪ 4.6
Data engineer job in San Diego, CA
SimVentions, consistently voted one Virginia's Best Places to Work, is looking for an experienced cybersecurity professional to join our team! As a Cybersecurity Engineer III, you will play a key role in advancing cybersecurity operations by performing in-depth system hardening, vulnerability assessment, and security compliance activities in accordance with DoD requirements. The ideal candidate will have a solid foundation in cybersecurity practices and proven experience supporting both Linux and Windows environments across DoD networks. You will work collaboratively with Blue Team, Red Team, and other Cybersecurity professionals on overall cyber readiness defense and system accreditation efforts. ** Position is contingent upon award of contract, anticipated in December of 2025. ** Clearance: An ACTIVE Secret clearance (IT Level II Tier 5 / Special-Sensitive Position) is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: In-depth understanding of computer security, military system specifications, and DoD cybersecurity policies Strong ability to communicate clearly and succinctly in written and oral presentations Must possess one of the following DoD 8570.01-M IAT Level III baseline certifications: CASP+ CE CCNP Security CISA CISSP (Associate) CISSP GCED GCIH CCSP Responsibilities: Develop Assessment and Authorization (A&A) packages for various systems Develop and maintain security documentation such as: Authorization Boundary Diagram System Hardware/Software/Information Flow System Security Plan Privacy Impact Assessment e-Authentication Implementation Plan System Level Continuous Monitoring Plan Ports, Protocols and Services Registration Plan of Action and Milestones (POA&M) Conduct annual FISMA assessments Perform Continuous Monitoring of Authorized Systems Generate and update test plans; conduct testing of the system components using the Assured Compliance Assessment Solution (ACAS) tool, implement Security Technical Implementation Guides (STIG), and conduct Information Assurance Vulnerability Management (IAVM) reviews Perform automated ACAS scanning, STIG, SCAP checks (Evaluate STIG, Tenable Nessus, etc.) on various standalone and networked systems Analyze cybersecurity test scan results and develop/assist with documenting open findings in the Plan of Action and Milestones (POA&M) Analyze DISA Security Technical Implementation Guide test results and develop/assist with documenting open findings in the Plan of Action and Milestones Preferred Skills and Experience: A combined total of ten (10) years of full-time professional experience in all of the following functional areas: Computer security, military system specifications, and DoD cybersecurity policies National Cyber Range Complex (NCRC) Total Ship Computing Environment (TSCE) Program requirements and mission, ship install requirements, and protocols (preferred) Risk Management Framework (RMF), and the implementation of Cybersecurity and IA boundary defense techniques and various IA-enabled appliances. Examples of these appliances and applications are Firewalls, Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Switch/Routers, Cross Domain Solutions (CDS), EMASS and, Endpoint Security Solution (ESS) Performing STIG implementation Performing vulnerability assessments with the ACAS tool Remediating vulnerability findings to include implementing vendor patches on both Linux and Windows Operating systems Education: Bachelor of Science in Information Systems, Bachelor of Science in Information Technology, Bachelor of Science in Computer Science, Bachelor of Science in Computer Engineering Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $90,000 - $160,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
$90k-160k yearly 5d ago
Advisory Azure Data Architect
Edgex
Data engineer job in San Diego, CA
EdgeX builds infrastructure-free IoT systems for real-time asset tracking and environmental monitoring, primarily in healthcare and industrial environments. Our sensors and platform operate entirely independent of facility IT, enabling instant deployment and insights. As part of our platform evolution, we have implemented Microsoft Azure Data Explorer (ADX) to enhance scalability, performance, and long-term maintainability across our data ecosystem. Role We are seeking an Advisory Azure Data Architect with deep expertise in IoT, time-series data, and observability platforms to provide expert oversight and validation as we transition more services and reporting workloads to ADX. This is a part-time, advisory engagement - ideal for a seasoned architect who can dedicate a few hours per week to help ensure that our ADX implementation, data migration strategy, and observability stack are aligned with best practices for scalability, performance, and cost efficiency. Key Responsibilities • Act as a strategic advisor to our engineering and infrastructure teams as we integrate additional systems and reports with ADX. • Review and validate existing ADX configurations, ingestion pipelines, and data models. • Provide guidance on data migration strategies, retention policies, and performance optimization. • Ensure proper observability and monitoring are in place using tools such as Datadog, Azure Monitor, and related platforms. • Offer best practices for managing and scaling telemetry and IoT data workloads. • Participate in periodic architecture reviews and provide actionable feedback to technical leadership. What We're Looking For • Proven experience designing and optimizing Azure Data Explorer (ADX) environments at scale. • Strong background in IoT, time-series data, and streaming architectures. • Hands-on familiarity with observability tools such as Datadog, Azure Monitor, Grafana, or Prometheus. • Understanding of related Azure services (Event Hubs, IoT Hub, Data Factory, Synapse, Log Analytics). • Excellent communication and advisory skills; able to collaborate effectively with both technical and leadership teams. • Prior consulting or fractional advisory experience preferred. Engagement Details • Part-time, advisory role (approx. 2-5 hours per week). • Flexible schedule; remote candidates welcome. • Focused on mid-to-late project validation and optimization, not initial architecture design.
$105k-145k yearly est. 5d ago
Machine Learning u0026 Data Scientist, OS Power u0026 Performance
Apple Inc. 4.8
Data engineer job in San Diego, CA
Great performance is critical to Apple's product experience. We are seeking a Machine Learning u0026 Data Scientist to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users. If the idea of developing data products to improve Apple's software u0026 hardware performance excites you, we encourage you to apply! We're looking for a proactive u0026 impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. In this role, you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics, models, simulations, and tools for analysis u0026 communication of insights from large datasets. To be successful, you must have a strong foundation in statistical analysis and the ability to apply it to solving business u0026 product-development problems, as well as a strong software engineering background with the ability to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products. M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition Proficiency in distributed compute u0026 storage technologies such as HDFS, S3, Iceberg, Spark, and Trino Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow) Working knowledge of Operating Systems Experience driving cross-functional projects with diverse sets of stakeholders Skilled at connecting data insights to the company's overall strategy and objectives. Strong Quantitative Foundation: Education in Computer Science, Electrical Engineering, or a related quantitative field. Strong mathematical foundations, software engineering, and broad knowledge of data analysis and practical machine learning are expected. Data Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python u0026 Spark) and data visualizations (e.g. Tableau) Business Acumen and Problem-Solving: Ability to understand the broader business context, solve complex problems, and communicate findings effectively to stakeholders. Adaptability and Collaboration: Comfortable with ambiguity, eager to learn, and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential.
$138k-180k yearly est. 60d+ ago
Data Scientist
Insurance Company of The West
Data engineer job in San Diego, CA
Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible. Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here! PURPOSE OF THE JOB The Data Scientist will build high performing machine learning models across the enterprise. As a key member of the rapidly growing Enterprise Analytics team, this role has the opportunity to develop and deploy impactful generative AI / LLM / ML solutions that drive revenue growth, reduce expenses, and enhance customer experience. This role will perform analyses of internal and external data sources in support of key business functions and develop predictive, descriptive modeling and identify areas of improvement for ICW business units. The Data Scientist will collaborate closely with business partners in Underwriting, Claims, Finance, Actuarial, HR, Law and Technology to help us realize the value in our extensive data resources. ESSENTIAL DUTIES AND RESPONSIBILITIES Build and deploy high performing AI/ML solutions. Utilize LLM models to improve organization efficiency, and tune models as needed. Perform prompt engineering. Develop innovative AI and ML solutions and implement scalable feature engineering. Create POC, MVP, as well as full-featured applications Research and recommend emerging AI and ML approaches and present research results to stakeholders. Partner effectively with data engineering and MLOps teams to ensure internal and external data pipelines support sophisticated data models and proper monitoring and alerting is in place. Collaborate with machine learning engineers as they harden models and move them from the lab into production. Identify and measure levers that impact essential metrics; communicate steps to business stakeholders. Keep up to date with latest research in the field and contribute to maintaining and growing an active data science community at ICW Group. Drive insights and improve workflows and business processes throughout the organization. Specify and develop advanced AI techniques to discover patterns, insights, and trends in ICW data. Drive and strategize with other scientists and internal business units to ensure effective execution of data-driven initiatives. Work closely with IT Security and Data Governance to ensure that analytics practices meet data security, privacy, and quality policies. Collect, aggregate, and analyze data from multiple internal and external sources for use in the most advanced analytics. Contribute to development of AI and ML internal policies and help ensure Enterprise Analytics team is compliant with applicable regulations. Write code to help build and maintain data pipelines for production models. Develop the highest quality, replicable predictive and descriptive analytics for business use. Actively evaluate (tracks and validates) existing models to ensure optimal data-driven decisions and make changes as needed. Develop a strong understanding of the business issues and data challenges of the organization in order to drive meaningful insights. Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. Analyze current business processes; make recommendations to management for new, more efficient, workflows, and processes. EDUCATION AND EXPERIENCE Bachelor's degree required with a major in Statistics, Cognitive Science, Mathematics, Physics, Computer Science, Electrical Engineering, Psychology, Neuroscience or related field and a minimum of 4 years of industry experience in data science roles; OR Master's Degree and a minimum of 2 years of industry experience in data science roles; OR PhD in a related field with research involving AI/ML. Ph.D. preferred. KNOWLEDGE AND SKILLS Strong interest in and familiarity with LLMs / generative AI. Experience with LLM tuning and distillation. Knowledge and experience with statistical and machine learning algorithms, forecasting, recommender systems, reinforcement learning, deep learning, and optimization. Cloud computing experience using several AWS tools and services. Strong knowledge and experience with Python and SQL. Containers and agile methodology. Experience with PyTorch and MLflow. Knowledge of databases and database methodology, especially Snowflake. Experience with model deployment. Knowledge in one or more of the following areas: Casual Inference, Anomaly Detection and/or modern Natural Language Processing techniques. PHYSICAL REQUIREMENTS Office environment - no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear. WORK ENVIRONMENT This position operates in an office environment and requires the frequent use of a computer, telephone, copier, and other standard office equipment. We are currently not offering employment sponsorship for this opportunity. #LI-TP1 #LI-HYBRID The current range for this position is $121,624.81 - $217,710.99 This range is exclusive of fringe benefits and potential bonuses. If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work. WHY JOIN ICW GROUP? • Challenging work and the ability to make a difference • You will have a voice and feel a sense of belonging • We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match • Bonus potential for all positions • Paid Time Off with an accrual rate of 5.23 hours per pay period (equal to 17 days per year) • 11 paid holidays throughout the calendar year • Want to continue learning? We'll support you 100% ICW Group is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. ICW Group will not discriminate against an applicant or employee on the basis of race, color, religion, national origin, ancestry, sex/gender, age, physical or mental disability, military or veteran status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other characteristic protected by applicable federal, state or local law. ___________________ Job Category Actuarial
$121.6k-217.7k yearly Auto-Apply 4d ago
Staff Algorithm Engineer / Data Scientist
Biolinqorporated
Data engineer job in San Diego, CA
Full-time Description WARNING about fake job posting scams. There has been a recent wave of scams whereby third parties post fake job openings using a bogus email address that resembles ****************. Under the guise of asking you to fill out an application, the scammers are attempting to gather your personal information. See the Federal Trade Commission's warning on this topic at: ******************************************* The only official source for actual Biolinq job postings/openings is at ************************ While other job sites (such as LinkedIn, Indeed or Glassdoor) may pull from Biolinq's careers web page, you should visit *********************** to verify the accuracy of the openings found on third party web sites. About the Company Biolinq is a venture-backed digital health company developing a wearable biosensor platform that measures biomarkers important to the management of many clinical conditions including diabetes. This dynamic role is a part of a team of engineers and scientists developing a novel intradermal biosensor technology and the associated software data extraction and rendering SDK that will transform the way people manage their metabolic health. Job Purpose This is a dynamic role as part of a team of engineers and scientists developing a novel intradermal biosensor technology. This highly visible role within the Company will work with a cross-functional team of scientists and engineers and will be responsible for bench and clinical data analysis, algorithm development, and supporting planning, execution, and post clinical study activities. Duties and Responsibilities Algorithm development for Continuous Glucose Monitoring system and other analytes Develop signal processing algorithms for signal noise reduction and fault detection Analysis of data collected during the course of clinical trials to assess performance of Bioling sensors and help with root-cause analyses Implementing statistical analyses of data sets acquired in the clinical setting to assess safety, efficacy, and accuracy Processing large datasets using state of the art methods Assisting with preparation of reports or presentations to fulfil business or regulatory needs Other tasks as assigned Requirements Qualifications Master's degree and 8 years of experience required. PhD degree preferred. Scientific or Engineering discipline required. Minimum of 5 years' experience in signal processing, time series data analysis and algorithm development, preferably in a medical device setting Experience with advanced data analysis tools and methods; demonstrated understanding of statistics and statistical analysis of data Must be capable of supporting projects independently without supervision Experience with advanced computing languages such as Python, R, or Matlab Experience with machine learning and data mining methods Ability to interface with both clinicians and R&D team and work in a fast-paced, multi-disciplinary environment Capacity to manage multiple projects and communicate ideas clearly to the team; excellent written and verbal communication skills Working Conditions General office and laboratory. Physical Requirements While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, see, talk or hear in a standard office environment. Employee may occasionally lift/or move up to 15 pounds. BENEFITS Medical, dental, vision, health savings account, flexible spending account, life and long-term disability insurance, 401(k) plan, holidays, and PTO. At Biolinq we fully subscribe to the principles of Equal Employment Opportunity. It is our policy to provide employment, compensation, and other benefits related to employment based on qualifications, without regard to race, color, religion, national origin, age, sex, veteran status, genetic information, disability, or any other basis prohibited by federal, state or local law. In accordance with requirements of the Americans with Disabilities Act and applicable federal, state and/or local laws, it is our policy to provide reasonable accommodation upon request during the application process to applicants in order that they may be given a full and fair opportunity to be considered for employment. As an Equal Opportunity Employer, we intend to comply fully with applicable federal, state and/or local employment laws and the information requested on this application will only be used for purposes consistent with those laws. To the extent required by applicable law, The Company maintains a smoke- free workplace. As part of our efforts to ensure fair and equal pay based on merit, Biolinq supports pay transparency internally and during the recruitment process. The U.S. base salary range reasonably expected to be paid for this role is: $150,000 to $180,000 per year. We may ultimately pay more or less than the posted range. Actual compensation packages are commensurate with experience and based on a variety of factors that are unique to each candidate including, but not limited to: skill set, depth of experience, education, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the U.S. The total compensation package for this position may also include an annual performance bonus and/or other applicable incentive compensation plans. Biolinq also offers a comprehensive package of benefits including paid time off (vacation, holidays, sick time, parental leave), medical/dental/vision insurance, and 401(k) to eligible employees, subject to the terms and conditions of the applicable plans and any written agreement between the parties. Your recruiter can share more about the total compensation package during the hiring process. Please note: The information contained herein is not intended to be an all-inclusive list of duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Biolinq Talent Acquisition at ******************* Salary Description $150,000-$180,000
$150k-180k yearly Easy Apply 11d ago
Data Scientist III
Veracyte 4.6
Data engineer job in San Diego, CA
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 ********************
$130k-171k yearly Auto-Apply 1d ago
Data Scientist - Academics
Art of Problem Solving 3.7
Data engineer job in San Diego, CA
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.
$102k-145k yearly est. Auto-Apply 15d ago
Data Scientist
Us01
Data engineer job in San Diego, CA
At ASML, we believe in harnessing the power of data to shape the future of technology. As a Data Scientist, you contribute directly to breakthroughs in semiconductor manufacturing, ensuring our products continue to transform how the world connects, creates, and innovates. In this role, you work in our Data Science department, collaborating with diverse teams to solve challenges that impact real-world applications. Located in Wilton, Connecticut, you bring your passion for data and problem-solving to an inclusive and dynamic workplace, whether you are early in your career or bringing years of experience. Role and Responsibilities As a Data Scientist, you play a pivotal role in leveraging data to drive insights and solutions for ASML's business and technology goals. In this candidate-centered position, you will: Analyze complex datasets to uncover trends and patterns that support strategic decision-making Design and implement predictive models to address technological challenges within the semiconductor industry Collaborate with cross-functional teams to translate business needs into data-driven solutions Communicate findings in a clear and actionable manner to technical and non-technical audiences Develop data visualization tools that make insights accessible and impactful Ensure the quality and integrity of data through robust validation and testing processes Stay up to date with best practices in data science and apply them to ongoing projects Education and Experience Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field 1 or more years of experience applying data science methods in a professional or academic setting Experience working with industry-standard tools such as Python, R, or SQL Background in developing and deploying predictive models using real-world datasets Experience in the technology or manufacturing sector is a plus Skills As a Data Scientist at ASML, you bring a blend of technical expertise, curiosity, and collaboration. You thrive in a diverse environment and are motivated to solve problems with creativity and precision. These essential skills help you succeed in the role: You apply statistical methods and machine learning techniques with confidence You communicate complex ideas clearly to a variety of audiences Data Cleansing (ETL) Deep understanding of statistics Data storytelling You handle large datasets efficiently and with attention to detail You are comfortable using data visualization tools to share your insights You work effectively both independently and as part of a team You approach challenges with a growth mindset and a willingness to learn You manage your time and priorities to meet deadlines You demonstrate ethical responsibility in handling data and information You proactively seek feedback and opportunities for personal and professional development You adapt quickly to new technologies and evolving project requirements The current base annual salary range for this role is currently: $99,375-165,625 Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US. All new ASML jobs have a minimum application deadline of 10 days. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.
$99.4k-165.6k yearly Auto-Apply 3d ago
Data Scientist
Genomic Life
Data engineer job in San Diego, CA
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.
$110k-150k yearly Auto-Apply 43d ago
Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA
Dsm-Firmenich
Data engineer job in San Diego, CA
Associate Scientist Data Science We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. Your Key Responsibilities: Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients. Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors. Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. Team-up with other data scientists and life science experts around the globe to drive project success We Bring: Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry. Highly motivated, professional and committed multicultural and interdisciplinary team. Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. Grow and develop your skills through our in-house training courses. Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. You Bring: Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field. 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field. Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields. Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines. Excellent problem-solving skills and proven ability to work both independently and collaboratively. Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000 -$139,000. About dsm-firmenich At dsm-firmenich, we don't just meet expectations - we go beyond them. 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
$97k-139k yearly 60d+ ago
Mid Data Scientist
Ignite Digital Services
Data engineer job in San Diego, CA
Are you searching for an opportunity to take your career to the next level? Ignite Digital Services is a fast-growing digital transformation company serving the national security sector. Our small business applies data science, program management and technical domain expertise to help clients implement data-driven approaches that maximize operational efficiencies. We've redefined what it means to be a leader in our industry by creating and maintaining effective and rewarding working relationships with our clients, partners and internal team members. Our company culture is built upon a team-based approach, which offers continuous opportunities for personal growth and innovation, while providing unmatched value to our clients. Perks of Working at Ignite Digital Services: Competitive pay and benefits, including PTO Education stipends and referral bonuses Compelling work with the U.S. federal government Strong emphasis on volunteer and community engagement Opportunity to shape the future of our industry Supportive colleagues and management who invest in your growth We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact. Responsibilities: Collect, process, and analyze large structured and unstructured datasets from multiple sources Develop, test, and deploy machine learning models to solve business problems and optimize operations Design and implement statistical models, data pipelines, and predictive analytics solutions Communicate findings and insights clearly through visualizations, dashboards, and reports Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation Stay current with emerging data science methodologies, tools, and industry best practices Ensure compliance with data governance, privacy, and security standards Qualifications: Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred) 2 to 5+ years of applied experience in data science, machine learning, or analytics Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred Strong problem-solving and critical thinking abilities Excellent communication skills to translate complex data insights into actionable business recommendations Ability to work independently and in a collaborative team environment Detail-oriented with a passion for continuous learning and innovation Ability to obtain DOD Secret clearance Technical Skills: Proficiency in Python or R for statistical modeling and machine learning Strong knowledge of SQL and experience with relational and non-relational databases Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) Schedule: 100% onsite in San Diego, CA Salary: 120k+ to align with experience and education Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Ignite Digital Services is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors. Equal Opportunity Employer/Veterans/Disabled For individuals who would like to request an accommodation, please visit ********************** (CA) or ********************** (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. OFCCP'S Pay Transparency Rule EEO is the Law Poster
$92k-133k yearly est. Auto-Apply 60d+ ago
Data Scientist I
General Atomics and Affiliated Companies
Data engineer job in Poway, CA
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We are looking for a motivated and detail-oriented Data Scientist for the Business Product Solution (BPS) group within the Mechanical Engineering Department of GA-ASI. The BPS group acts as the spearhead to develop and maintain cross-functional internal systems used for project planning, design controls and resource management. The Data Scientist will collaborate closely with cross-functional partners to translate complex data into actionable insights, communicate findings and recommendations to leadership, and help define analytical objectives that support the group's strategic goals. Additionally, they will contribute to the design, development, and implementation of data-driven tools, models, and processes that enhance decision-making and operational efficiency. This position is located in Poway, CA. DUTIES AND RESPONSIBILITIES: Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement. Develop, refine, deploy, and support statistical and machine learning models. lnteract with stakeholders to identify questions and issues for data analysis and experiments, document findings and may make technical presentations to business stakeholders as required. Communicate insights and findings from analysis and experiments to leadership, partner groups, and end users (Engineers and Managers). Recommend solutions to moderately complex technical and procedure issues. Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements. Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner. Perform other duties as assigned or required. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Typically requires a bachelor's or master's degree in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution. May substitute equivalent experience in lieu of education. Must have a general understanding of data science concepts, principles, and theory with technical experience, demonstrating the application of those concepts. Self-motivated to analyze stakeholder requirements and align them with available data sources, analytical methods, and machine learning models to design, prototype, and implement data-driven solutions that meet business objectives. Experience with SQL, Python, statistical analysis methods, machine learning models and data visualization software preferred. The ability to maintain the confidentiality of sensitive information. Good computer skills. Ability to work independently or lead in a team environment is essential, as is the ability to work extended hours and travel as required.
$92k-133k yearly est. 4d ago
Data Scientist (Navy/DoD)
Thor Solutions 3.9
Data engineer job in San Diego, CA
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 **************.
$63.8k-89.3k yearly Auto-Apply 60d+ ago
Senior Data Engineer
Tendo Systems
Data engineer job in San Diego, CA
As a Senior Data Engineer, you will work within the Engineering team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources. You will collaborate with Tendo's Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development. You will develop tools and solutions to facilitate data integration, data warehousing, and data modeling. Your work will enable Data Engineers and Data Scientists to experiment and train machine learning models to produce useful insights for Tendo's customers. The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design and a demonstrated interest or experience in applying AI/ML, and a forward-thinking mindset toward innovation in healthcare. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities * Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis. * Optimize data infrastructure and processes to ensure optimal performance and scalability. * Develop and maintain data documentation and data lineage. * Stay current with emerging technologies and industry trends related to data engineering. Requirements * 5+ years of experience in data engineering. * Extensive experience in the design, build, and maintenance of data ETL pipelines. * Extensive knowledge of coding in Python or Scala with a focus on data processing. * Experience using Apache Spark (PySpark or Scala). * Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.). * Experience with data and entity relationship modeling to support data warehouses and analytics solutions. * Deep understanding of relational and non-relational databases (SQL/NOSQL). * Comfortable working with unstructured and semi-structured data (Web scraping). * Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean). * Basic data privacy and security principles. * Interest and/or experience in AI/ML applications, including support for model development or deployment workflows. * Proactive mindset around exploring emerging technologies in AI and data science to drive innovation. Nice to Have * Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. * Experience with Delta Lake and/or Databricks. * Hands-on experience with machine learning workflows, including preparing data for AI model training and evaluation. * Experience with machine learning workflows and data requirements for use with ML frameworks. * Experience validating data quality, preferably with test automation. * Experience with containerization using Docker. Base Salary Range $117,300-$158,700 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
$117.3k-158.7k yearly 40d ago
Navy Data Engineer
Prevailance 4.2
Data engineer job in San Diego, CA
Full-time, Contract Description is contingent upon successful contract award. At Prevailance, we deliver high-impact results with integrity and purpose. Our professionals support mission-critical efforts across defense and national security domains, guided by excellence and trust. We are seeking an experienced and mission-focused professional to join our team as a Data Engineer. Responsibilities include, but not limited to: Administer the Naval Ship Tracking, Reporting, and Analysis Tool (NSTRAT) system to monitor applications and services, identify issues, and ensure system availability Develop, test, and maintain software tools to support data analysis and event reconstruction Perform database entry, management, and monitoring of automated backup processes Conduct database query analysis to support reporting, system troubleshooting, and data-driven decision-making Requirements Qualifications: Minimum of five (5) years of Navy experience managing Navy computer networks Minimum of three (3) years of experience using Python and other programming tools to script data analysis products Strong analytical and problem-solving skills with proven ability to prepare technically accurate reports, briefings, and correspondence Ability to obtain and maintain FLANKSPEED IL6 AZURE Privileged Access through certifications and/or training, including: AZURE Administrator Associate (AZ-104) IAT Level II certification in accordance with DoD 8750 Approved Baseline Other certifications as required by FLANKSPEED IL6 services Desired Qualifications: Experience with Azure administration and cloud services Familiarity with relational databases and SQL for data analysis and system support Demonstrated ability to troubleshoot complex systems and ensure secure, reliable operation in Navy environments Clearance: Must be able to obtain and maintain a Secret Clearance If you meet these qualifications and are ready to make an impact, we encourage you to apply today! Prevailance, Inc. proudly supports veterans as a member of the V3 (Virginia Values Veterans) program and the Hire Vets initiative. Prevailance provides a comprehensive benefits package to eligible employees, designed to support health, wellness, and financial security. Our benefits include: Medical Insurance TriCare Supplemental Dental Insurance Vision Insurance Life & Accidental Death & Dismemberment (AD&D) Coverage 401(k) Plan with Company Matching Contributions Paid Time Off (PTO) 11 Paid Holidays Education Reimbursement Program Computing Device Reimbursement Program Prevailance, Inc. is an Equal Opportunity/Affirmative Action Employer. All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, citizenship status, marital status or any other consideration prohibited by law or contract. Prevailance, Inc. participates in E-Verify and is VEVRAA Compliant. Salary Description $80,000 - $130,000
$80k-130k yearly 60d+ ago
Lead Data Engineer
Carlsmed 3.9
Data engineer job in Carlsbad, CA
We are seeking a Lead Data Engineer to join our software and enabling technologies team, supporting the development of advanced surgical planning platforms and AI/ML-driven applications for personalized spine surgery. This role focuses on building robust, compliant data pipelines that enable real-time analytics, clinical insights, and AI-assisted decision-making across the product lifecycle. Key Responsibilities Design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming medical imaging, surgical planning, and intraoperative data. Collaborate with software engineers, data scientists, and clinical experts to ensure high-quality, structured datasets for AI/ML model training and predictive analytics. Build and optimize data storage solutions that support large-scale medical imaging and patient-specific digital twin models. Implement monitoring, testing, and validation frameworks to ensure data integrity, reproducibility, and compliance with FDA, HIPAA, ISO 13485, and IEC 62304 standards. Work closely with product owners and clinical stakeholders to translate business and clinical needs into reliable data workflows. Support reporting and visualization needs for surgical outcomes and regulatory submissions. Drive continuous improvements in data governance, security, and compliance practices. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or related field. 5+ years of experience in data engineering, preferably in healthcare, medical devices, or other regulated industries. Strong programming skills in Python, SQL, and familiarity with data frameworks (Spark, Airflow, DBT, etc.). Experience with TypeScript is a plus. Experience with cloud-native data platforms (AWS, Azure, or GCP); knowledge of AWS preferred. Familiarity with handling DICOM and medical imaging data; experience in healthcare interoperability standards (HL7, FHIR) is a plus. Understanding of AI/ML workflows, model deployment, and data pipelines for model training/inference. Experience in feature engineering and familiarity with ML frameworks (TensorFlow, PyTorch) and ML platforms (SageMaker) is a plus. Strong communication skills with the ability to work cross-functionally in a fast-paced, highly collaborative environment. Equal Opportunity Employer Carlsmed is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Carlsmed is committed to providing reasonable accommodation for candidates with disabilities in our recruitment process. If you need assistance or accommodation due to a disability, please let us know. Compensation We are pleased to provide a competitive salary and benefits. Our benefits reflect our investment in the overall health and well-being of our employees and their families, including paying 100% of monthly healthcare, dental and vision insurance premiums, a 401(k) plan with employer matching, and unlimited PTO. The expected pay range is: $160,000 to $180,000 annually. Compensation may vary based on related skills, experience, and relevant key attributes.
$160k-180k yearly 32d ago
Slalom Flex (Project Based) - Data Engineer
Slalom 4.6
Data engineer job in San Diego, CA
Data Engineer Who You'll Work With At Slalom, personal connection meets global scale. Our vision is to enable a world in which everyone loves their work and life. We help organizations of all kinds redefine what's possible, give shape to the future-and get there. What You'll Do * Perform manual data ingestions * Monitor and resolve data pipelines * Maintain quality control of operations What You'll Bring * 3+ years of data engineering experience specifically using Azure. * Hands on experience with FiveTran, Azure Data Factory, Azure Blob Storage, Azure SQL Server. * Hands on experience with SQL and data validation. * Hands on experience monitoring and troubleshooting data pipelines in production. * Understanding or hands-on experience with reporting dashboards such as Tableau or Power BI. * Strong communication. * Consulting experience preferred. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the pay range is 55/HR to $80/HR. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We will accept applicants until December 18th, 2025. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: ********************. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact ****************************** if you require accommodations during the interview process.
$80 hourly Easy Apply 9d ago
Senior Data Engineer
Rockstar Games 4.5
Data engineer job in Carlsbad, CA
At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is seeking a Senior Data Engineer to join a team building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience across our titles. The ideal candidate will be skilled in developing complex ingestions and transformation processes with an emphasis on reliability and performance. In collaboration with other Data Engineers, Machine Learning Engineers, and Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications across the company. This is a full-time, in-office position based out of Rockstar's new state-of-the-art game development studio in Carlsbad, CA. WHAT WE DO The Rockstar Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making. We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements. RESPONSIBILITIES Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools. Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation. Architect Data Models for massive-scale MPP engines (Databricks/Spark, SQL, Snowflake) that balance performance, maintainability, and analytical flexibility. Collaborate with Data Scientists, Analysts, and ML Engineers to gather requirements, understand use cases, and deliver reliable data products. Identify and implement improvements to our data platform, pipelines, and development processes with autonomy to POC new approaches and technologies. Mentor, elevate, and learn with the team by sharing insights, maintaining documentation, and establishing engineering best practices. Own projects end-to-end, from gathering requirements and technical design through implementation, testing, and production support. REQUIREMENTS 5+ years of work experience with designing and development of modern data pipelines. 4+ years of experience with Python for data engineering (building maintainable, testable code) and Spark for large-scale data processing. Strong software engineering fundamentals - design patterns, testing strategies (unit, integration) code review practices, system design thinking. Expert-level SQL and deep understanding of query optimization, data structures, and performance tuning. Track record of building and optimizing terabyte or petabyte-scale data warehouses. Ability to work independently on loosely-defined projects - gathering requirements, making architectural decisions, and following through completion. Experience building Real-Time and/or Near-Real-Time data pipelines. Outstanding communication and interpersonal skills, including the ability to tailor communication style to technical and non-technical audiences. PLUSES Please note that these are desirable skills and are not required to apply for the position. Databricks platform experience (Delta Lake, Unity Catalog, Workflows). Experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components. Containerization and orchestration (Docker, Kubernetes). Experience with Java or Scala. Experience with CI/CD (TeamCity, Octopus). RESTful API design, usage, and consumption. Gaming industry experience or passion for games. Experience in Machine Learning pipelines and popular libraries. ADDITIONAL INFORMATION HOW TO APPLY Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar's reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you've got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. #LI- The pay range for this position in San Diego at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors. *San Diego Base Pay Range$121,400-$161,800 USD
$121.4k-161.8k yearly Auto-Apply 1d ago
Data Scientist - Academics
Art of Problem Solving 3.7
Data engineer job in San Diego, CA
Job Description At AoPS, data sits at the heart of how we grow and deliver our mission. We serve tens of thousands of students around the world, generating data about how families discover us, how students learn, and how our operations scale. Yet, like our curriculum and teaching, the true value of our data comes from how well we can translate it into actionable insight. AoPS is unique because it brings together academics, operations, and technology under one roof. We design our own curriculum, run physical academies, deliver online courses, and build the platforms that power it all. This created a rich and complex data environment--one that grew organically as the business grew and we are working on creating a more cohesive stack so every business line runs on the same system. Your job will be to turn raw data into clear, actionable insights, while proactively identifying areas for improvement. We are hiring a Data Scientist to support our Academics department and course experience team with learning research, advanced analytics, and experimentation. In this role, you will bridge the gap between the data that our curriculum developers and customers generate and the evidence we need to improve learning outcomes, instructional design, and student experience. You will own analytic frameworks, build statistical and machine learning models, and collaborate closely with curriculum developers, product teams, and senior academic leadership. The Data Scientist (Academics) will: Take ownership of learning analysis and applied research for the Academics department, ensuring analyses, models, and data tools are accurate and aligned with strategic goals. Partner with stakeholders to translate academic, curriculum, and product questions into testable hypotheses, measurable outcomes, and business decisions. Work with the data team to define, govern, and validate the metrics, features, and data structures needed to support consistent, science-driven analyses. Use SQL and Python to power analyses, modeling, reproducible research, and data-driven recommendations. Proactively investigate patterns and anomalies in learning data to uncover meaningful trends, identify drivers of student outcomes, and separate actionable insights from background noise. Champion data literacy and effective analytic practices across the organization. Completes other tasks and responsibilities, as assigned. The ideal candidate has: 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact. Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing). Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable. Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets. Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis. We use Redshift and dbt. Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker. We use Lightdash. Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team. Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 137.8k-169.6k. Here are some things you can look forward to: Impact: Transform learning data into evidence-based insights that help us create more effective courses and better outcomes for the next generation of problem solvers. Flexibility: Casual work environment with a hybrid work week and flexible scheduling Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401K with company match Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve Ease of Transition: Relocation bonus (if currently located outside of San Diego) Background Check: Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.
$102k-145k yearly est. 18d ago
Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA
Dsm-Firmenich
Data engineer job in San Diego, CA
Associate Scientist Data Science We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. **Your Key Responsibilities:** + Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. + Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients. + Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors. + Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. + Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. + Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. + Team-up with other data scientists and life science experts around the globe to drive project success **We Bring:** + Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry. + Highly motivated, professional and committed multicultural and interdisciplinary team. + Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. + Grow and develop your skills through our in-house training courses. + Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. + A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. **You Bring:** + Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field. + 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field. + Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. + Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields. + Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. + Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines. + Excellent problem-solving skills and proven ability to work both independently and collaboratively. + Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000 -$139,000. **About dsm-firmenich** At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we **go beyond, together** . **The application process** Interested in this position? Please apply online by uploading your resume in English. **Inclusion, belonging and equal opportunity statement** At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. **Agency statement** We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role
$97k-139k yearly 60d+ ago

Learn more about data engineer jobs

How much does a data engineer earn in San Diego, CA?

The average data engineer in San Diego, CA earns between $84,000 and $159,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.

Average data engineer salary in San Diego, CA

$116,000

$84,00010%

$116,000Median

$159,00090%

What are the biggest employers of Data Engineers in San Diego, CA?

The biggest employers of Data Engineers in San Diego, CA are:

ResMed
PMAT
SAIC
Ernst & Young
Insurance Company of The West
The Marlin Company
Fair Square Financial
Slalom
LPL Financial
Intuit

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Data engineer jobs in San Diego, CA

Cybersecurity Engineer III **

Advisory Azure Data Architect

Machine Learning u0026 Data Scientist, OS Power u0026 Performance

Data Scientist

Staff Algorithm Engineer / Data Scientist

Data Scientist III

Data Scientist - Academics

Data Scientist

Data Scientist

Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA

Mid Data Scientist

Data Scientist I

Data Scientist (Navy/DoD)

Senior Data Engineer

Navy Data Engineer

Lead Data Engineer

Slalom Flex (Project Based) - Data Engineer

Senior Data Engineer

Data Scientist - Academics

Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA

Learn more about data engineer jobs

How much does a data engineer earn in San Diego, CA?

What are the biggest employers of Data Engineers in San Diego, CA?