Data analyst jobs in Indio, CA

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.

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 Data Analyst to join the LB Builds project team, supporting a major enterprise permitting and licensing system modernization effort. This role focuses on data migration, conversion, and integrations across multiple legacy sources, ensuring accuracy, integrity, and secure data transfer into the new platform. This position will work directly with the Data Team Lead, partnering with stakeholders across departments to define migration scope and deliver high-quality data transformation outcomes. Responsibilities Support development of the project's data migration and integration strategy Perform data conversions, mapping, and validation from legacy systems Work with business stakeholders to define scope and ensure data accuracy and completeness Ensure proper data governance, security, and documentation are followed Collaborate with the project team to deliver high-quality, on-time migration results Assist with creating and maintaining Power BI dashboards Communicate effectively with technical and non-technical stakeholders Required Skills & Experience Strong hands-on experience with data migration, conversions, and integrations Proficiency with ETL tools (BOE preferred, but other ETL experience accepted) Advanced Excel skills Experience working in team-oriented project environments Excellent communication and collaboration abilities Preferred Qualifications Experience with Snowflake Experience building Power BI dashboards Previous experience on large enterprise system projects Additional Requirements Must live within reasonable commuting distance of Long Beach, CA Must be available for on-site visits a few times per month or quarter Must complete LiveScan in person. 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 $44 - $54 / 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.

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:

About the Company Step into a high-impact Assistant Data Analyst role supporting a fast-growing consumer products business. You will work with data from more than 30 international markets and multiple business models, transforming complex datasets into strategic insights that leaders rely on. If you enjoy solving challenging problems, building powerful reports, and influencing decisions with data, this role gives you a chance to make your work visible at a global level. About the Role You will sit at the intersection of data, operations, and strategy-partnering with regional teams and senior stakeholders to ensure data is accurate, timely, and meaningful. This opportunity is ideal for someone who enjoys both the technical and business sides of analytics and expand experience working within international environment. Responsibilities Support and help oversee the collection and processing of data from 30+ countries, ensuring accuracy, consistency, and on-time delivery across all international channels. Conduct comprehensive analysis on global sales and inventory data to develop recommendations for inventory optimization and improved business performance. Collaborate with data analytics teams and regional stakeholders to ensure required data is captured within agreed timelines and defined standards. Facilitate seamless data flow between systems and business users, enhancing accessibility, usability, and reliability of datasets. Act as a liaison between the central data organization and various regional and business partners, clearly communicating data requirements, expectations, and deliverables. Leverage advanced Excel functionality, including Power Pivot and data models, to build reports, dashboards, and analytical tools. Independently manage projects of moderate complexity and provide business-focused support on larger, cross-functional data initiatives. Prepare and deliver regular reports, insights, and strategic recommendations to senior leadership and other key stakeholders. Ensure data quality controls are followed and contribute to continuous improvement of international data management processes. Qualifications Bachelor's degree in Business Analytics, International Business, Data Analytics, or a closely related field. MBA or a Master's degree in Analytics or a related discipline preferred. 4-6 years of experience in data analysis and data management within a global or multi-region business environment. Prior experience working with international data sources and stakeholders across varied business models. Demonstrated track record of using data to support strategic business decision-making. Required Skills Advanced experience working with data models and complex data structures, particularly in large, multi-country environments. Programming experience with Python for data processing, automation, and analysis tasks. Comfortable working with large, complex datasets drawn from multiple business models and international sources. Strong analytical capabilities with advanced proficiency in Power BI, Power Pivot, and Microsoft Excel. Solid understanding of data management concepts and how they support broader business objectives. Proven ability to interpret data and convert findings into clear, actionable business recommendations. Effective project management skills, including planning, prioritizing, and executing moderately complex data projects. Knowledge of international business structures (joint ventures, subsidiaries, distributors) and their differing data requirements. Excellent written and verbal communication skills, including the ability to present complex analytical insights to non-technical stakeholders. Ability to thrive in a dynamic, global environment and manage competing priorities. Willingness to accommodate meetings and calls across multiple time zones as needed. Preferred Skills Advanced Microsoft Excel, including Power Pivot, data models, pivot tables, advanced formulas, and complex spreadsheet design. Power BI (or similar BI tools) for building dashboards, visualizations, KPIs, and self-service reporting solutions. Python for data manipulation, automation scripts, and analytical workflows. Experience working with large data extracts from ERP, CRM, or data warehouse systems. Strong proficiency with standard office productivity tools (Outlook, PowerPoint, Word) to support communication and presentation of analytics. Pay range and compensation package Pay Rate: $35-$40 per hour Note: Must be ok to work onsite Monday through Friday 40hrs/ a week. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

JSG is seeking a Data Coordinator for an onsite, temp to hire position for our client in Woodland Hills, CA. This role is ideal for someone with strong attention to detail, solid technical skills, and a great attitude toward learning and growth - willingness to learn new systems. New graduates are encouraged to apply! As part of a collaborative team, you'll play a key role in maintaining accurate product, pricing, and customer information - ensuring smooth operations across departments such as Product, Sales, Marketing, and Accounting. You'll also have the opportunity to learn reporting tools, contribute to process improvements, and support data-driven decision-making. Key Responsibilities Maintain accurate and up-to-date product, pricing, and customer data within the reservation system. Collaborate with cross-functional teams on new product setups, pricing updates, and promotions. Audit and validate data to ensure accuracy and consistency across systems. Assist in generating reports and dashboards to support business insights. Support ongoing process improvement initiatives to enhance operational efficiency. Coordinate with Accounting and Sales teams to align data and reporting needs. Provide user support for data-related questions or reporting tools. Qualifications: Associate's degree or higher preferred; new graduates are welcome. 6 mos. - 1yr of work experience Intermediate Microsoft Excel and proficient with Microsoft Office Suite. Strong analytical, organizational, and problem-solving skills. Excellent attention to detail and ability to manage multiple priorities. Positive attitude, adaptability, and willingness to learn new systems and tools. Strong verbal and written communication skills; ability to work effectively across departments. Basic reporting understanding of Tableau Seaware experience a plus Pay rate: $24/hr. #D800 JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

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.

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

Detailed Job Description We are seeking an experienced, hands-on Axway B2Bi Architect with expertise in migrating trading partner configurations and setting up secure connectivity for applications in an Axway B2Bi environment. The ideal candidate will have a deep understanding of configuring trading partner connectivity, including AS2, HTTPS, SOAP, and SFTP protocols. You will play a critical role in the migration of trading partner integrations from Sterling Integrator (on-prem) to Axway B2Bi (Azure), focusing on ensuring seamless communication between legacy applications and trading partners. The role requires a strong technical background in working with B2B integration platforms, especially in the context of setting up communities and managing partner configurations. Key Responsibilities: Migration & Connectivity Setup: Lead the migration effort from Sterling Integrator to Axway B2Bi, ensuring smooth transition and connectivity between trading partners and internal systems. Trading Partner Configuration: Set up and configure trading partners in Axway B2Bi, ensuring correct connectivity and communication protocols (AS2, HTTPS, SOAP, SFTP, etc.) are in place. Community Management: Group trading partners into communities within Axway, manage community-related settings, and ensure seamless communication across trading partners. Protocol & Security Configuration: Configure, manage, and troubleshoot transport protocols (AS2, HTTPS, SOAP, SFTP) for trading partners to ensure secure and efficient data transmission. Legacy Application Integration: Integrate Axway B2Bi with custom legacy applications, ensuring that application deliveries are handled efficiently and securely. Performance Tuning & Troubleshooting: Monitor and troubleshoot connectivity issues, optimize performance, and ensure reliable communication channels between trading partners and internal systems. Documentation & Best Practices: Document integration setups, migration steps, and create best practice guides for managing trading partner connectivity. Collaboration & Stakeholder Management: Work closely with business analysts, application owners, and external trading partners to gather requirements and ensure the solution meets business and technical needs. Support & Maintenance: Provide ongoing support for trading partner integrations, handle troubleshooting, and manage changes to partner configurations as needed. Skills and Qualifications: Experience: Minimum of [10] years of hands-on experience with Axway B2Bi and Sterling Integrator, specifically in trading partner migrations and connectivity setup. B2B Integration: Strong expertise in setting up and managing B2B integrations, particularly with trading partners, using Axway B2Bi. Protocols: In-depth knowledge and hands-on experience with communication protocols such as AS2, HTTPS, SOAP, and SFTP. Trading Partner Management: Expert in configuring trading partners, creating communities, and managing partner connectivity in Axway B2Bi. Legacy Systems: Experience integrating Axway B2Bi with legacy applications, managing custom application deliveries, and ensuring smooth communication between systems. Troubleshooting & Optimization: Strong problem-solving skills, with experience troubleshooting issues and optimizing performance in a B2B integration environment. Project Management: Ability to manage and lead migration projects, ensuring timelines are met and goals are achieved. Communication Skills: Excellent verbal and written communication skills to work effectively with cross-functional teams and external partners. Preferred Qualifications: Certifications: Relevant Axway B2Bi certifications for Axway B2Bi Architect, Integration Specialist). Cloud Integration: Experience with cloud-based integrations (Azure)is a plus. Technical Skills: Familiarity with scripting languages (e.g., JavaScript, Python) for automation and configuration tasks.

About the Role Savills is seeking a Research & Strategy Analyst to join its Life Sciences Practice Group. This hybrid role blends market research, strategic insight, and business development support to empower brokers, consultants, and clients with high-impact intelligence. The ideal candidate is analytically sharp, intellectually curious, and eager to contribute across both life sciences-specific initiatives and broader commercial real estate research functions. This is a unique opportunity to work at the nexus of science, data, and strategy in one of the industry's fastest-growing sectors. Key Responsibilities Research Operations & Market Data Management Maintain and update proprietary databases tracking inventory, leasing activity, sales comparables, ownership structures, development pipelines, and tenant movements in key markets. Contribute to the production of quarterly market statistics and collaborate with national and regional teams on sector-specific reports. Ensure accuracy and consistency of data across platforms to support client-ready deliverables and leadership decision-making. Client-Focused Research & Broker Support Respond to requests for market intelligence to support broker teams and strategic pursuits. Partner with brokers and across functions to develop data-driven materials for client meetings, pitch decks, and presentations. Leverage research outputs to support marketing campaigns, graphics, and thought leadership placement tailored to client needs. Build scalable templates and tools that enhance service delivery across geographies. Life Sciences Industry Intelligence Monitor companies in the biotech, medtech, and pharmaceutical sectors-from early-stage startups to public firms-tracking funding milestones, clinical pipelines, partnerships, and expansions. Identify real estate decision inflection points (e.g., IPOs, new clinical phases, M&A activity) and align those with broker outreach and opportunity pipelines. Maintain and regularly update a curated list of strategic targets to support CRM integration and proactive client engagement. Translate complex industry developments into relevant real estate implications for internal and external audiences. CRM Strategy, Pipeline Tracking & Business Enablement Leverage Savills Salesforce environment to track target companies, contacts, and opportunities aligned with life sciences growth triggers. Maintain detailed and dynamic CRM records to reflect company stage, activity history, strategic touchpoints, and geographic expansion status. Collaborate with brokers and marketing to execute targeted outreach campaigns based on funding events, clinical milestones, and relocation trends. Develop dashboards and reports that visualize pipeline health, deal progress, and prospect engagement across key geographies. Qualifications Bachelor's degree required; advanced degree (MBA, MS, PhD) or relevant certifications preferred. 2-6 years of experience in life sciences, research, management consulting, or corporate strategy. Deep familiarity with biotech, pharma, and/or medtech industries including R&D pipelines, funding dynamics, and commercialization paths. Exceptional analytical skills with the ability to distill complex data into strategic insights. Strong written and verbal communication skills; experience writing reports or market commentary is a plus. CRM platform experience (Salesforce) is preferred. Highly organized, detail-oriented, and motivated to work in a fast-paced, entrepreneurial environment. Why Join Savills Life Sciences? Savills is a global leader in real estate advisory, with a top-tier Life Sciences team that supports clients ranging from emerging startups to global pharmaceutical companies. Our platform empowers innovation-combining data, insight, and strategy to help clients make real estate decisions that accelerate science. As part of our team, you'll help shape how we track the future of life sciences and grow our presence in the most exciting markets in North America and beyond. Savills values a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, veteran status, or any other protected characteristic. Savills participates in the E-Verify program.

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.

🚀 We're Hiring: Senior Data Consultant - (Supply Chain Planning) Bristlecone, a Mahindra company, is a leading supply chain and business analytics advisor, rated by Gartner as one of the top ten system integrators in the supply chain space. We have been a trusted partner to global enterprises such as Applied Materials, Exxon Mobil, Flextronics, Nestle, Unilever, Whirlpool, and many others. 🔍 Project Overview: We are looking for a strong Data Consultant to support our planning projects. The ideal candidate will have a solid understanding of planning processes and data management within a supply chain or business planning environment. While deep configuration knowledge of SAP IBP is not mandatory, the consultant must have a strong grasp of planning data, business rules, and their impact on planning outcomes. This is a strategic initiative aimed at transforming planning processes across Raw Materials, Finished Goods, and Packaging materials. You'll be the go-to expert for managing end-to-end planning data across SAP IBP and ECC systems (SD, MM, PP). 🛠️ Key Responsibilities: Collaborate with planning teams to analyze, validate, and manage data relevant to planning processes. Demonstrate a clear understanding of basic planning functionalities and how data supports them. Identify, define, and manage data elements that impact demand, supply, and inventory planning. Understand and document business rules and prerequisites related to data maintenance and planning accuracy. Coordinate data collection activities from super users and end users across multiple functions. Support data readiness for project milestones including testing, validation, and go-live. Explain how different data elements influence planning outcomes to non-technical stakeholders. Work closely with functional and technical teams to ensure data integrity and consistency across systems. Required Skills & Qualifications: Strong understanding of planning processes (demand, supply, or S&OP). Proven experience working with planning master data (e.g., product, location, BOM, resources, etc.). Ability to analyze complex datasets and identify inconsistencies or dependencies. Excellent communication and coordination skills with cross-functional teams. Exposure to SAP IBP, APO, or other advanced planning tools (preferred but not mandatory). Strong business acumen with the ability to link data quality to planning outcomes. 5-10 years of relevant experience in data management, planning, or supply chain roles. Preferred Qualifications: Experience with large-scale planning transformation or ERP implementation projects. Knowledge of data governance and data quality frameworks. Experience in working with super users/end users for data validation and readiness. Privacy Notice Declarations for California based candidates/Jobs:: ********************************************************

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. 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. 3+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. 3+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). 2+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. 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). 2+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. 2+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. 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: 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.

Title: Principal Data Scientist 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: T Saketh Ram Sharma Email: ***************************** Internal Id: 25-54101

AVID Technical Resources is seeking an Analyst to support our client's database project. Must be located in or near Pomona, CA or Monmouth, OR. Required Skills: Data retrieval and automation Oracle Database knowledge SQL and data modeling experience PowerBI, PowerAutomate, PowerApps, MS Suite Azure / AWS is a bonus! Excellent written and oral communication skills

What You'll Do Utilize the SAP Migration Cockpit to migrate data to SAP Cloud environments for ERP implementations. Participate in data cleansing activities, including customer/supplier records, product master data, and financial data; ensure data accuracy and consistency. Collaborate with team members on ad-hoc data-related tasks to support client needs. Develop and optimize SQL scripts for data extraction, transformation, loading (ETL). Write robust, efficient, and scalable SQL code for data manipulation, reporting, and analytics across various platforms. Map data fields between source and target systems and develop data mapping documents Collaborate with SAP functional consultants to understand data structures and business processes. Perform data validation, reconciliation, and troubleshooting. Document technical specifications, data flows, and system configurations. Troubleshoot migration issues and work closely system administrators, application owners, and business users. Document all migration steps, scripts, issues, and resolutions for audit and knowledge transfer. Must Haves Bachelor's degree in STEM or a related field (or equivalent experience). Basic understanding of data migration concepts and tools (exposure to enterprise systems like SAP, Salesforce, NetSuite, Oracle is a plus). Experience or coursework in data analytics and visualization tools like Power BI. Proficiency in writing complex SQL queries. Experience in P2P, OTC, Finance, Manufacturing. Nice-to-Haves Familiarity with data integration techniques and tools. Ability to use AI tools for automation and productivity improvement.

TL;DR Kharon is seeking a full-time Research Analyst with language proficiency in Russian based in L.A. or Washington D.C. This role requires in-office attendance 4 days a week. RESPONSIBILITIES: Update existing research while monitoring developments on sanctions issues, regulatory environments, and other national security or compliance-related matters. Identify and utilize new data and sources of information to develop subject matter expertise on strategic topics related to business intelligence research, conflict and illicit finance analysis, and banking sector risk management/compliance. Identify risk-relevant research and data typologies, demonstrating sound analytical approaches and research techniques. Demonstrate creativity, resourcefulness, and innovation while maintaining a high ethical standard in working with colleagues and leaders. QUALIFICATIONS: A Bachelor's or Master's degree in International Relations, Political Science, Security Studies, Regional Studies, History, Sociology, or a related field. Must have working reading proficiency in Russian. Experience with academic or professional research, including the use of databases and online resources, is essential. Understanding of global sanctions, international regulations, and compliance issues. High ethical standard, cultural awareness, and sensitivity to work respectfully in a diverse research environment. Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. With dotted-line leadership from the EVP of Research, the core of this position is dedicated to conducting open-source research on a variety of foreign affairs and national security issues. More specifically, you will be researching, analyzing, and interpreting data as it relates to sanctions, export controls, and criminal/illicit networks. You will be responsible for the diligent pursuit of data as it relates to ever-evolving market demand and our client inquiries. Working collaboratively with the Kharon Research team, you will contribute to the development of new datasets and update existing ones, identifying and utilizing new sources and developing subject matter expertise on the various strategic topics. Leveraging your sound analytical approach and research techniques, you will identify data typologies and conduct risk-relevant research that contributes to the health of our data intelligence and overall platform. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: Fully sponsored medical, dental, and vision FSA program for both medical and dependent care 401k with matching and immediate vesting + ROTH IRA Paid time off + 11 paid holidays If interested in pursuing this position, please visit ************** to apply. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. The base salary range at Kharon is set between $65,000-$75,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.