Senior Data Scientist, Cardiac Biology
Senior data scientist job in San Diego, CA
At HAYA Therapeutics, we are revolutionizing RNA-guided genome-targeting therapies to treat fibrosis, heart failure, and other serious diseases associated with aging. Our innovative platform leverages long non-coding RNAs (lnc RNAs)-key regulators within the “dark matter” of the genome-to develop first-in-class, highly specific therapies that modulate gene expression and restore cellular function.
Recognized for our innovation, HAYA received the prestigious Innosuisse Certificate for Sustainable Growth and has been nominated as TOP Innovative Companies in Switzerland 2025.
HAYA's vision is to pioneer the development of next-generation biopharma, leveraging causal disease biology and AI-enabled functional genomics and systems biology to develop precision disease-modifying therapies for common and chronic diseases. By unlocking the full potential of the regulatory genome, our platform enables rapid de-risked target discovery and scalable drug development across multiple therapeutic areas.
As a fast-growing biotech, we offer an entrepreneurial, science-driven environment where you'll have a direct impact on shaping our pipeline and advancing RNA medicine.
Position Summary:
HAYA Therapeutics is seeking a talented and experienced Computational Biologist with deep knowledge of cardiac biology and transcriptomics to join our data science team. In this highly collaborative and impactful role, you will leverage bulk, single-cell and single-nuclei transcriptomic and epigenomic omics data to drive translational research and biomarker discovery in cardiac settings. You will apply innovative computational approaches to uncover novel biology and therapeutic opportunities relevant to cardiac diseases.
HAYA deploys a combination of experimental and computational solutions for target and drug discovery in the non-coding regulatory genome space. To this end, we leverage multiple omics modalities, including transcriptomic profiling (e.g., single-cell and single-nuclei RNA-Seq, bulk RNA-Seq). You will apply your end-to-end expertise in transcriptomics data preprocessing and downstream analysis to contribute to scientific discoveries and the advancement of our precision RNA-based therapeutics for cardiovascular diseases. The entire Data Science team across Haya programs will use the analysis templates and approaches you establish to handle complex datasets.
The Data Science team is central to HAYA's vision by pioneering innovative AI and advanced computational biology solutions to overcome current scientific, methodological, and operational bottlenecks. We leverage complex biological datasets to remove operator biases, enabling the rapid end-to-end execution of HAYA's pipeline. Our approach ensures precision-driven decision-making, which enables target drug discovery, biomarkers, translational, clinical, and business strategies, reinforcing HAYA as a leader of next-generation biopharma.
What's in it for me?
At HAYA, you won't just analyze data - you'll help shape the future of RNA-based therapeutics. This is a unique opportunity to apply your scientific expertise to uncover novel biology in the non-coding regulatory genome and translate those discoveries into real therapeutic potential. You'll be part of a deeply collaborative and forward-thinking team, working at the intersection of data science, functional genomics, and drug discovery. Here, your insights won't sit on a shelf - they'll directly influence the development of treatments for patients with serious cardiovascular and fibrotic diseases. We offer a dynamic, innovative culture where scientific curiosity is celebrated, your voice is heard, and your growth is supported. Whether you're leading high-impact projects, engaging with cross-functional teams, or learning something new every day, you'll find a meaningful and rewarding career path at HAYA.
Key Responsibilities:
Perform bulk, single-cell, and single-nuclei transcriptomics computational analysis, mainly on (but not limited to) cardiac tissue and disease-related data.
Be an internal expert on cardiac transcriptomics, consulted across multiple settings including target MoA and validation, biomarkers, translation, and pre-clinical and clinical settings.
Conduct in-depth investigations using both in-house and publicly available datasets to uncover cardiac disease- and perturbation-specific cell states and transcriptional programs.
Integrate transcriptomic data (including single-cell data and bulk RNA-Seq) from multiple independent datasets to inform biomarker discovery and validation strategies.
Prepare and communicate high-quality scientific reports, visualizations, and presentations for both technical and cross-functional stakeholders.
Education & Experience:
PhD in computational sciences (e.g., bioinformatics, computer science) or life sciences with a strong computational focus, or equivalent industry experience (6+ years).
Deep expertise in transcriptomic data analysis, including single-cell and single-nuclei RNA-Seq and bulk RNA-Seq data analysis, covering preprocessing, integration, and biological interpretation.
Deep knowledge on cardiac biology and cardiac diseases, including HCM and HF, and ability to relate it to transcriptional dynamics across different cell types and states.
Proven ability to integrate data from multiple sources to construct clear, biologically meaningful narratives, with a demonstrated track record of delivering high-quality single-cell/nuclei RNA-Seq and bulk RNA-Seq data packages.
Proficient in R or Python, with experience working in Linux-based computing environments, including remote server access and basic Bash scripting.
Experience with primary epigenomic data analysis (e.g., ATAC-Seq, PRO-Seq, GRO-Seq, CUT&RUN, chromatin conformation capture) to identify functional regions in the regulatory genome is a plus.
Excellent written and verbal communication skills in English, with the ability to clearly present complex data to diverse audiences.
HAYA Therapeutics is an Equal Opportunity Employer committed to fostering a diverse, inclusive, and equitable workplace where all individuals feel valued and empowered. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, marital or familial status, veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
We prohibit discrimination and harassment of any kind and are committed to ensuring fair and equitable treatment in all aspects of recruitment, hiring, promotion, compensation, benefits, training, and career development.
At HAYA, we believe that diversity of thought, experience, and background drives innovation and strengthens our mission to transform patient care through cutting-edge RNA-based therapeutics.
Staff Data Scientist
Senior data scientist job in Fremont, CA
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.
Staff Data Scientist - Sales Analytics
Senior data scientist job in San Jose, 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.
Data Scientist (Hybrid in Fremont, CA)
Senior data scientist job in Fremont, CA
itD is seeking a Data Scientist to build and refine models that support forecasting, operational decision-making, and performance insights across key business areas. This role will translate complex datasets into clear recommendations that improve efficiency and guide strategic planning. The ideal candidate has a strong foundation in Python and statistical modeling, along with hands-on experience in machine learning and operational analytics.
This long-term W2 opportunity is hybrid in Fremont, CA.
Pay Rate: $75-90/hr per hour, depending on experience.
We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.
Job Responsibilities:
Develop forecasting models to support operational and business planning.
Analyze large datasets to identify trends, performance indicators, and predictive insights.
Build and validate machine learning models to strengthen data-driven decision-making.
Collaborate with cross-functional partners to translate findings into practical recommendations.
Create clear data visualizations and summaries for leadership and stakeholder presentations.
Maintain and refine existing analytical models based on changing business needs.
The internal responsibilities will be as follows:
Attend regular internal practice community meetings.
Collaborate with your itD practice team on industry thought leadership.
Complete client case studies and learning material. (Blogs, media material).
Build out material to contribute to Digital Transformation practice.
Attend internal itD networking events (in person and virtual).
Work with leadership on career fast-track opportunities.
Required qualifications and skills
Strong proficiency with Python for data analysis and model development.
Experience building statistical and forecasting models.
Experience with machine learning techniques and model validation practices.
Ability to translate analytical results into clear business recommendations.
Experience handling large-scale datasets and structured data workflows.
Preferred qualifications and skills
Background in operational analytics or performance optimization.
Familiarity with data visualization tools for reporting and presentations.
Experience working within large or enterprise environments.
Education
Bachelor's degree in a relevant field or equivalent work experience required.
Company description
About itD:
We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You'll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.
The itD Digital Experience:
Joining us means you'll be part of our global community, you have a say about your own career journey, and you'll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries.
itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow!
Visit *************************** to learn more about what working at itD can mean for you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a
reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at ********************** and let us know the nature of your request and your contact information.
Additional info
Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today
Data Scientist
Senior data scientist job in Long Beach, CA
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India We are seeking a highly analytical and technically skilled Data Scientist to transform complex, multi-source data into unified, actionable insights used for executive reporting and decision-making.
This role requires expertise in business intelligence design, data modeling, metadata management, data integrity validation, and the development of dashboards, reports, and analytics used across operational and strategic environments.
The ideal candidate thrives in a fast-paced environment, demonstrates strong investigative skills, and can collaborate effectively with technical teams, business stakeholders, and leadership.
Essential Duties & Responsibilities
Solution Development & BI Architecture
Participate across the full solution lifecycle: business case, planning, design, development, testing, migration, and production support.
Analyze large and complex datasets with accuracy and attention to detail.
Collaborate with users to develop effective metadata and data relationships.
Identify reporting and dashboard requirements across business units.
Determine strategic placement of business logic within ETL or metadata models.
Build enterprise data warehouse metadata/semantic models.
Design and develop unified dashboards, reports, and data extractions from multiple data sources.
Develop and execute testing methodologies for reports and metadata models.
Document BI architecture, data lineage, and project report requirements.
Provide technical specifications and data definitions to support the enterprise data dictionary.
Data Analysis, Modeling & Process Optimization
Apply analytical skills to understand business processes, financial calculations, data flows, and application interactions.
Identify and implement improvements, workarounds, or alternative solutions related to ETL processes, ensuring integrity and timeliness.
Create UI components or portal elements (e.g., SharePoint) for dynamic or interactive stakeholder reporting.
Download and process SQL database information to build Power BI or Tableau reports (including cybersecurity awareness campaigns).
Utilize SQL, Python, R, or similar languages for data analysis and modeling.
Required Knowledge & Attributes
Highly self-motivated with strong organizational skills and ability to manage multiple verbal and written assignments.
Experience collaborating across organizational boundaries for data sourcing and usage.
Analytical understanding of business processes, forecasting, capacity planning, and data governance.
Proficient with BI tools (Power BI, Tableau, PBIRS, SSRS, SSAS).
Strong Microsoft Office skills (Word, Excel, Visio, PowerPoint).
High attention to detail and accuracy.
Ability to work independently, demonstrate ownership, and ensure high-quality outcomes.
Strong communication, interpersonal, and stakeholder engagement skills.
Deep understanding that data integrity and consistency are essential for adoption and trust.
Ability to shift priorities and adapt within fast-paced environments.
Required Education & Experience
Bachelor's degree in Computer Science, Mathematics, or Statistics (or equivalent experience).
3+ years of BI development experience.
3+ years with Power BI and supporting Microsoft stack tools (SharePoint 2019, PBIRS/SSRS, Excel 2019/2021).
3+ years of experience with SDLC/project lifecycle processes.
3+ years of experience with data warehousing methodologies (ETL, Data Modeling).
3+ years of VBA experience in Excel and Access.
Strong ability to write SQL queries and work with SQL Server 2017-2022.
Experience with BI tools including PBIRS, SSRS, SSAS, Tableau.
Strong analytical skills in business processes, financial modeling, forecasting, and data flow understanding.
Critical thinking and problem-solving capabilities.
Experience producing high-quality technical documentation and presentations.
Excellent communication and presentation skills, with the ability to explain insights to leadership and business teams.
Benefits
Medical coverage and Health Savings Account (HSA) through Anthem
Dental/Vision/Various Ancillary coverages through Unum
401(k) retirement savings plan
Paid-time-off options
Company-paid Employee Assistance Program (EAP)
Discount programs through ADP WorkforceNow
Additional Details
The base range for this contract position is $73 - $83 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered
About Us
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees.
Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY.
Check out more at ************** and reach out today to explore opportunities to grow together!
By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
Principal data scientist
Senior data scientist job in Alhambra, CA
The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Da
• Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. • Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. • Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). • Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. • Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). • Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. • Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. • One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices.
This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience.
California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m.
Founding Data Scientist
Senior data scientist job in Fremont, CA
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
Lead Data Scientist - Computer Vision
Senior data scientist job in Santa Clara, CA
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
Data Scientist
Senior data scientist job in San Francisco, CA
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.
Lead Data Scientist/Manager -Must Have AWS, Python, Machine learning, Marketing Analytics, statistical techniques - Full Remote
Senior data scientist job in Phoenix, AZ
Role: Data Science Developer/Manager
• Proficient in machine learning model and statistical model development, simulation and optimization and deployment in AWS
• Proficient in SQL, Python, R for data integration and modeling projects
• Advanced in AWS Sagemaker, EC2, S3, Terraform, Bitbucket, etc for deployment projects
• Advanced in PBI, Excel, streamlit for analytics and visualization projects
• Experience in Terraform, EC2, MMM, optimizer application will be a big plus
Key Responsibilities:
• Develop and deploy predictive and statistical models to evaluate marketing performance (e.g., attribution, media mix modeling, churn, LTV, segmentation, optimization).
• Partner with marketing, product team to translate modeling results into clear business insights & recommendations that drive growth and ROI and communicate implications to non-technical stakeholders.
• Present findings to senior stakeholders through clear storytelling and visualization.
• Visualize and present analytical results using tools like Power BI, Excel, etc.
• Build and maintain scalable analytics pipelines using Python/R, SQL, and possibly cloud data platforms (GCP, AWS, Azure).
• Partner with marketing operations to operationalize insights (e.g., audience targeting, spend optimization).
• Collaborate with data engineers and analysts to improve data accessibility and accuracy.
• Support ongoing model performance monitoring and iterative improvements.
• Support MMM and app maintenance and development for simulation and optimization and further development. Push changes to production using AWS Sagemaker, EC2, Terraform, Bitbucket, etc.
• Assist with ad-hoc data requests, data exploration and building business knowledge models. Build intelligent dashboards if needed using SQL, PBI.
• Conduct cross-functional collaboration, stakeholder meetings and provide documentations and internal trainings.
• Lead projects, manage timelines, and ensure deliverables meet the business objectives and are delivered on time.
• Perform other duties as assigned or apparent.
• Work with marketing and product teams to design experiments, measure campaign ROI, and inform strategy.
Principal Data Scientist
Senior data scientist job in Alhambra, CA
Duration: 12 Months Contract
Additional Information
California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m.
Job description:
The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts.
Experience Required:
Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments.
Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration.
Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing).
Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring.
Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms).
Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development.
Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases.
One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices.
Education Required & certifications:
This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as:
Microsoft Azure Data Scientist Associate (DP-100)
Databricks Certified Data Scientist or Machine Learning Professional
AWS Machine Learning Specialty
Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: Raviteja Yarram
Email: *********************************
Internal I'd : 25-54101
Data Scientist
Senior data scientist job in Phoenix, AZ
We are seeking a Data Scientist to support advanced analytics and machine learning initiatives across the organization. This role involves working with large, complex datasets to uncover insights, validate data integrity, and build predictive models. A key focus will be developing and refining machine learning models that leverage sales and operational data to optimize pricing strategies at the store level.
Day-to-Day Responsibilities
Compare and validate numbers across multiple data systems
Investigate discrepancies and understand how metrics are derived
Perform data science and data analysis tasks
Build and maintain AI/ML models using Python
Interpret model results, fine-tune algorithms, and iterate based on findings
Validate and reconcile data from different sources to ensure accuracy
Work with sales and production data to produce item-level pricing recommendations
Support ongoing development of a new data warehouse and create queries as needed
Review Power BI dashboards (Power BI expertise not required)
Contribute to both ML-focused work and general data science responsibilities
Improve and refine an existing ML pricing model already in production
Qualifications
Strong proficiency with MS SQL Server
Experience creating and deploying machine learning models in Python
Ability to interpret, evaluate, and fine-tune model outputs
Experience validating and reconciling data across systems
Strong foundation in machine learning, data modeling, and backend data operations
Familiarity with querying and working with evolving data environments
Staff Data Scientist
Senior data scientist job in San Francisco, CA
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.
Staff Data Scientist - Post Sales
Senior data scientist job in San Jose, 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 expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth.
About the Role
As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.
Key Responsibilities
Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.
About You
Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.
Founding Data Scientist
Senior data scientist job in San Francisco, CA
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
Senior data scientist job in Santa Rosa, CA
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.
Staff Data Scientist - Post Sales
Senior data scientist job 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 expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth.
About the Role
As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.
Key Responsibilities
Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.
About You
Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.
Founding Data Scientist
Senior data scientist job in San Jose, CA
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
Senior data scientist job in San Jose, CA
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.
Staff Data Scientist - Sales Analytics
Senior data scientist job 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.