Data science internship jobs in Fremont, CA

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

VARITE is looking for a qualified Data Analyst - IV for one of its clients. WHAT THE CLIENT DOES? A U.S. based regional bank and financial services company that provides a wide range of banking products and services, including personal banking, business banking, mortgages, wealth management, and investment services. WHAT WE DO? Established in the Year 2000, VARITE is an award-winning minority business enterprise providing global consulting & staffing services to Fortune 1000 companies and government agencies. With 850+ global consultants, VARITE is committed to delivering excellence to its customers by leveraging its global experience and expertise in providing comprehensive scientific, engineering, technical, and non-technical staff augmentation and talent acquisition services. **Note: We only work on W2, we do not work on C2C/1099, we do not provide Visa sponsorship, kindly refrain from applying if you do not meet this criteria, thank you for understanding!** HERE'S WHAT YOU'LL DO: Job Title: Data Analyst - IV (USC/GC Only) Duration: 12 Months Pay Rate: $90-106/hr. on W2 Work Mode: Remote role Job Description Essential Responsibilities: • This is a hands-on role. Applicants should not be managers or architects. • Provide primary technical support to end user community for problems related to software, data issues, data communication and processing errors. • Monitor application, production and/or implementation support, both technical and user, for new releases. • Consult on application testing strategies, document observations and coordinate responses. • Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation. Make recommendations to management regarding process improvements. Coordinate the information flow between business owners and development staff. Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely. • Document end-user interactions into the automated call logging tools for tracking and productivity purposes. • Validate proposed technical approaches to system or application problem logs and make recommendations for mediation to management. • Ability to perform involved, independent research and develop highly creative work products and proposals. • Demonstrate a high degree of creativity in addressing problems/issues and opportunities. • Demonstrated concentration on customer service orientation. • Ability to work effectively in a highly matrix or virtual organization. • Strong verbal and written communication skills with an ability to present/facilitate effective training sessions. • Strong experience in Agile delivery, requirements engineering, backlog development and refinement. • Strong experience in stakeholder engagement. • Experience working with distributed teams, and providers of software solutions. • Broad knowledge of application and data modelling techniques with the ability to identify root cause issues and appropriate solutions. • Strong experience working in Agile environment/SAFe framework and Agile management tools like Jira. • Excellent analytical and design skills. • CBAP, Agile Analysis Certification or similar certifications preferred. • Must be willing to be on call periodically from 8am-2pm ET or 2pm-8pm ET Monday through Friday. • Hands-on for performing technical analysis and troubleshooting on highly complex integrated systems, including diagnostic approaches, determining root causes, and identifying solutions on a data lake house hosted in a cloud environment utilizing technologies such as R, sparklyr, Databricks, Starburst, Collibra, Tableau, Python and/or Alteryx. Quals-- • Sr. Technical Analyst roles for one-year assignments to implement and manage data products, ensuring that our data pipelines are scalable, secure, and efficient. Requirements: Specific skill mixes we need from the tech stack: o Databricks AND (R or sparklyr) OR (Pyspark or Python) o Databricks AND (Starburst OR Tableau) o Databricks AND (Collibra OR Altreyx) HANDS-ON Experience for the following: • Databricks -Pyspark, Data Quality Framework, Building custom dashboards • R/SparklyR - as a data analyst • Pyspark/Python -with scripting and automation, performance tuning and debug capabilities • Starburst - as a data analyst or Starburst developer or support engineer • Collibra - as a Collibra developer or support engineer • Alteryx - as a developer or support engineer • Tableau - as a developer with performance tuning / debug capabilities • Immuta - As a security analyst. Must have good Role Based and Attribute Based Security knowledge.

TITLE: Data Analyst ANTICIPATED DURATION: 6 months Responsibilities: Collaborate with internal teams and external partners to determine data requirements. Create templates for automated, seamless data collection into databases. Design and structure databases that capture all relevant information for reporting and analysis. Link internal and external data sources for meaningful insights. Create dashboards to highlight key metrics and overall business performance. Requirements: Prior experience designing data collection processes and structuring best practices. Strong analytical skillset; experience building recurring financial reports and visualizations. Required experience with Python, SQL, and Tableau. Understanding of consumer credit processes is a plus. Proven ability to influence and challenge outcomes to drive results. Excellent written and verbal communication skills. Big-picture thinker with curiosity and ownership of details. Strong collaborator with global business partners. The hourly pay rate range for this position is $65 to $75 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to **********************. If you require assistance or an accommodation in the application or employment process, please contact us at **********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

HCLTech is looking for a highly talented and self- motivated Advanced Data Analyst to join it in advancing the technological world through innovation and creativity. Job Title: Advanced Data Analyst Position Type: Full Time Location: Onsite Role Overview Mandatory skills - My Sql, Python, Tableau and Simulation Tool Experience Strong ability in translating business requirements and needs into analytic solutions, within multiple areas in IT and with various stakeholders, including key leaders and managers. Leverage data to understand in depth IT business processes, identify areas of opportunity for process improvement. Write queries, analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives. E.g., build rich and dynamic dashboards using Tableau. * Develop deep understanding of analytical data models. *Simulation Tools experience is must. Anylogic experience is big plus. * Support project development life cycles through data modeling, reporting and analytics. Participate in the on-going development of the business intelligence and data warehousing functions within the wider organization. Create training materials to guide business users on how to use dashboards. Participate in the creation and support of development standards and best practices. Explore and recommend emerging technologies and techniques to support/enhance BI landscape components. * Automate solutions where appropriate. Skills * At least 4-6 years of business intelligence and data warehouse experience. * At least 2-year experience with ANSI SQL/ Presto / Hive/ MySQL. * At least 1 year of experience with Tableau. * Prefer a candidate with scripting experience (Python/R/Javascript/PHP/ Perl/Ruby/etc.) * Prefer a candidate with experience building and maintaining pipelines * Knowledge of ETL processes and designs. Pay and Benefits Pay Range Minimum: $59,000 per year Pay Range Maximum: $109,000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Data Analyst (Bonterra/Apricot) Hybrid 1 day/week in San Francisco This Data Analyst will be: - Leading migration of multiple legacy databases into Bonterra/Apricot, ensuring data accuracy and integrity - Collaborating with internal staff and working closely with team to understand existing legacy databases - Extracting, cleaning, mapping, and validating complex datasets across multiple programs - Building or modifying forms and fields in Apricot/Bonterra to support unified reporting and program needs - Managing end-to-end data lifecycle activities including extraction, transformation, loading, QA, troubleshooting, and verification - Training and supporting non-technical staff in learning and adopting the new database system - Developing reports and dashboards using Power BI and Tableau to validate migrated data and support organizational reporting Ideal Skills/Experience: -Strong SQL Server skills for data extraction, transformation, normalization, and backend database work - Experience with Apricot/Bonterra or similar CRM/database platforms, including data importing, mapping, and validation - Proficiency in data cleaning, mapping, and quality assurance for migration projects - Ability to build and modify database forms and fields to support program and reporting requirements - Experience creating and delivering training materials and supporting staff with varying technical skill levels - Proficiency with Power BI, Tableau or similar for reporting, data validation, and visualization - Strong analytical and problem-solving abilities to troubleshoot data issues and ensure accuracy - Clear and accessible communication skills to explain technical concepts to non-technical users - Collaborative, detail-oriented, and comfortable working in a mission-focused environment - Ability to work within a hybrid schedule to review legacy systems and coordinate with/train staff Contract Talent The salary range for this position is 45/hr to 53/hr. Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit https://roberthalf.gobenefits.net/ for more information

Lead Data Scientist - Computer Vision/Image Processing About the Role We are seeking a Lead Data Scientist to drive the strategy and execution of data science initiatives, with a particular focus on computer vision systems & image processing techniques. The ideal candidate has deep expertise in image processing techniques including Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection. Responsibilities Solid knowledge of computer vision programs and image processing techniques: Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection Strong understanding of machine learning: Regression, Supervised and Unsupervised Learning Proficiency in Python and libraries such as OpenCV, NumPy, scikit-learn, TensorFlow/PyTorch. Familiarity with version control (Git) and collaborative development practices

Emonics LLC is seeking an enthusiastic and motivated Entry-Level Machine Learning Engineer to join our growing data science team in Dallas, TX. The ideal candidate will have a foundational understanding of machine learning concepts, data analysis, and software development practices, with a strong desire to learn and grow within a dynamic and collaborative environment. Key Responsibilities Assist in developing, training, and deploying machine learning models and algorithms. Collaborate with data scientists and software engineers to collect, clean, and preprocess large datasets. Support the design and implementation of scalable data pipelines and ML workflows. Conduct model performance testing and optimize algorithms for accuracy and efficiency. Participate in code reviews, documentation, and version control practices. Stay up to date with emerging trends and tools in AI, ML, and data engineering. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Basic knowledge of machine learning concepts (supervised, unsupervised learning, etc.). Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Understanding of data manipulation and analysis using Pandas, NumPy, or SQL. Strong analytical, problem-solving, and communication skills. Eagerness to learn new technologies and contribute to a team environment. Preferred Qualifications Exposure to cloud platforms (AWS, Azure, or GCP). Experience with version control systems (Git/GitHub). Knowledge of data visualization tools (Matplotlib, Seaborn, or Power BI). Internship or project experience in data science or machine learning. What We Offer Competitive entry-level salary and comprehensive benefits package. Professional development and mentorship opportunities. Collaborative and innovative work environment. Opportunities to work on real-world AI and ML projects that make an impact. How to Apply Interested candidates can apply by submitting their resume and a brief cover letter highlighting relevant coursework, projects, or experience to:

We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics. We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability. This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions. Key Responsibilities Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records) Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers Research and prototype innovative approaches leveraging both classical and modern machine learning techniques Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations Required Qualifications Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.) Proven track record of transitioning models from research prototypes to production systems Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued) Bonus Qualifications Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC) Background in actuarial modeling, claims forecasting, or risk adjustment methodologies

Data Scientist (San Francisco, CA) Our client is seeking a highly motivated and skilled Data Scientist to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization. Location San Francisco, CA - Flexible arrangement based on candidate availability; onsite work is preferred. Engagement: 1099 Contract-to-Hire Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client. Responsibilities Design, build, and maintain complex AI-driven software systems. Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness. Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions. Implement best practices including version control, unit testing, code reviews, and agile development cycles. Design and analyze experiments to validate model performance and enhance AI workflows. Required Skills & Qualifications Strong Python skills, particularly for machine learning and NLP projects Good SQL skills for querying and analyzing data Basic C# skills - ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot) Understanding of API and Microservices concepts Ability to work independently and thrive in a small, agile team Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering, AI development, or ML engineering Cloud experience (Azure or AWS) is a plus Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with ETL processes and end-to-end ML pipeline development Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial Additional Notes Flexible hybrid or onsite role, depending on candidate preference. Contract-to-hire with simple agreement amendment upon conversion. If you're passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools

Onsite in Cupertino, CA from Day 1 (Client prefer local folks) Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri) Long term contract Direct client opportunity No Mid layer / No Implementation partners are Involved Key points - Need someone focused on product management and integration of generative AI solutions - Excellent communication, organizational, and problem-solving skills We are seeking an AI Engineer to join our Legal Operations team and lead the design, development and deployment of AI-powered tools and automation solutions that transform how our Legal Department operates. This is a unique opportunity for a technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions. You will work closely with attorneys, legal ops specialists, and other engineering teams to identify opportunities for AI-driven efficiency, develop prototypes and bring scalable solutions to life. The ideal candidate combines strong software engineering and AI expertise with excellent communication skills, product sensibility and a curiosity about legal workflows and technology Description As a Senior Data Scientist/ AI Engineer, you will be responsible for overseeing the design and execution of key tool development programs. This is a unique opportunity for a technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions. You will work closely with attorneys, legal ops specialists, and other engineering teams to identify opportunities for AI-driven efficiency, develop prototypes and bring scalable solutions to life. The ideal candidate combines strong software engineering and AI expertise with excellent communication skills, product sensibility and a curiosity about legal workflows and technology. Key responsibilities may include: Develop and deploy AI solutions that enhance legal workflows, including contract review, document classification, knowledge management and workflow automation. Collaborate cross-functionally with attorneys, legal operations, compliance and engineering teams to identify and prioritize AI use cases. Act as a product developer and owner from concept to rollout-defining requirements, developing proofs of concept, collecting feedback and iterating solutions. Integrate large language models (LLMs) and other AI technologies into existing systems (e.g., document management, eDiscovery, CLM, or knowledge bases). Evaluate and integrate third-party legal AI tools and platforms as needed, ensuring compatibility and compliance with internal systems. Maintain strong documentation and governance around data usage, model performance and ethical AI standards. Stay current on emerging trends in AI, machine learning and legal tech to help shape the department's AI strategy. Minimum Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience). 5+ years of experience building and deploying AI/ML or automation solutions in production environments. Strong programming skills in Python (proven ability to quickly master new frameworks and tools). Demonstrated experience with modern AI architectures including context engineering, tool use and retrieval augmented generation. Proven ability to communicate complex technical concepts to non-technical stakeholders. Strong product development mindset-able to translate business needs into practical, scalable AI tools. Prior experience in or exposure to legal tech or legal operations. Preferred Qualifications Familiarity with DMS, document intelligence and CLM systems (e.g., Ironclad, Icertis, DocuSign CLM), document management platforms (e.g., iManage, NetDocuments) or legal AI tools (e.g., Harvey, Luminance, Casetext, Spellbook, etc.). Experience building internal AI assistants or chatbots for enterprise knowledge retrieval. Understanding of data privacy, compliance and governance frameworks relevant to legal data. Pay Range: $65/hr - $70/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.

Please review the below sections, especially the "how to apply" section, to complete your application and be considered for this position! Title: Air Quality Data Analyst Salary: $36/hr-$45/hour-salary commensurate with experience Job Type: Part-time, Temporary Benefits: Sick leave accrual Duration of Appointment: Est. 2 months from start date Location/Schedule: Hybrid, with potential for remote. For remote consideration, the individual must be California-based and able to be on site for their first day; Estimate 10 hours/week About the Position: This role is a part-time, temporary position (10 hours/week) that will help assist with our air quality data work in the areas identified below. Air Quality Data Work with the Program Manager to provide support in bridging the technical components of our air quality data work and helping to translate that information for the general public and community members, including into written materials, presentations, and reports Evolve Brightline's air quality program to the next generation and help prepare for us for the next level of grantmaking. Review and assess our current air quality data and network to identify opportunities for expansion or new directions, as well as any gaps, and communicate those findings to the team. This includes researching other air quality data programs and materials and providing written recommendations/report. Collaborate with Brightline staff, partners and volunteers who are working on analyzing our air quality data. Participate in meetings related to our air quality work, including with vendors and other key partners. Drafts, reviews and analyzes air quality data and other documents; conducts inquiries, compiles and researches information. Additional program support as needed-could include supporting site visits, off site community meetings, air quality sensor network maintenance, etc. General Support: Provide grant support including with any progress report deliverables, looking for documentation, helping to track deadlines, follow up with partners, etc. Assist Brightline team members with other projects as needed Required Qualifications, Skills, and Abilities: 3-5 years of related experience, including some direct work with environmental mapping Experience with utilizing ArcGIS Experience with R, modeling or other coding languages Familiarity utilizing Google Suite, Canva (or other design software) Strong interpersonal, written and oral communication skills Ability to work with data and identify trends and areas where further data points or analysis are needed Ability to translate and bridge the technical components of the data analysis and findings to those not in the field, including individuals in the community Ability to collaborate with multiple stakeholders and take and incorporate feedback/input Outstanding relationship-building skills, as well as ability to adapt communication style Must demonstrate strong organizational skills, ability to adapt and must be detail oriented. Desire to learn more about Brightline's work Passion for working in environmental justice Desire to work with diverse communities and neighborhoods in San Francisco Preferred Skills & Qualifications Masters or PhD in related field Experience with Tableau or other data visualization software Experience with website coding Spanish, Cantonese, or Arabic language skills Experience working with community-based organizations and or low-income communities How to Apply Please email a short cover letter, resume, and three references (preferably direct supervisors and include e-mail and a phone number for each) to ************************** with the subject line “Air Quality Data Analyst Application - [Your Name].” Applications will be reviewed on a rolling basis, with first round of interviews occurring the week of December 1, 2025, until the position is filled.

Staff Data Scientist | San Francisco | $250K-$300K + Equity We're partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they've secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI. In this role, you'll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance. What you'll do: Drive deep-dive analyses on user behavior, product performance, and growth drivers Design and interpret A/B tests to measure product impact at scale Build scalable data models, pipelines, and dashboards for company-wide use Partner with Product and Engineering to embed experimentation best practices Evaluate ML models, ensuring business relevance, performance, and trade-off clarity What we're looking for: 5+ years in data science or product analytics at scale (consumer or marketplace preferred) Advanced SQL and Python skills, with strong foundations in statistics and experimental design Proven record of designing, running, and analyzing large-scale experiments Ability to analyze and reason about ML models (classification, recommendation, LLMs) Strong communicator with a track record of influencing cross-functional teams If you're excited by the sound of this challenge- apply today and we'll be in touch.

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools

Data Scientist (San Francisco, CA) Our client is seeking a highly motivated and skilled Data Scientist to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization. Location San Francisco, CA - Flexible arrangement based on candidate availability; onsite work is preferred. Engagement: 1099 Contract-to-Hire Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client. Responsibilities Design, build, and maintain complex AI-driven software systems. Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness. Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions. Implement best practices including version control, unit testing, code reviews, and agile development cycles. Design and analyze experiments to validate model performance and enhance AI workflows. Required Skills & Qualifications Strong Python skills, particularly for machine learning and NLP projects Good SQL skills for querying and analyzing data Basic C# skills - ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot) Understanding of API and Microservices concepts Ability to work independently and thrive in a small, agile team Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering, AI development, or ML engineering Cloud experience (Azure or AWS) is a plus Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with ETL processes and end-to-end ML pipeline development Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial Additional Notes Flexible hybrid or onsite role, depending on candidate preference. Contract-to-hire with simple agreement amendment upon conversion. If you're passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Data Scientist (San Francisco, CA) Our client is seeking a highly motivated and skilled Data Scientist to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization. Location San Francisco, CA - Flexible arrangement based on candidate availability; onsite work is preferred. Engagement: 1099 Contract-to-Hire Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client. Responsibilities Design, build, and maintain complex AI-driven software systems. Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness. Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions. Implement best practices including version control, unit testing, code reviews, and agile development cycles. Design and analyze experiments to validate model performance and enhance AI workflows. Required Skills & Qualifications Strong Python skills, particularly for machine learning and NLP projects Good SQL skills for querying and analyzing data Basic C# skills - ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot) Understanding of API and Microservices concepts Ability to work independently and thrive in a small, agile team Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering, AI development, or ML engineering Cloud experience (Azure or AWS) is a plus Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with ETL processes and end-to-end ML pipeline development Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial Additional Notes Flexible hybrid or onsite role, depending on candidate preference. Contract-to-hire with simple agreement amendment upon conversion. If you're passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools