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Job Description 100% ON-SITE Norco, CA Job Summary We are seeking a talented and driven Data Scientist to join our evolving and dynamic team. This position is open to candidates at Mid to Senior level of experience who possess a strong mathematical foundation and a passion for predictive modeling. In this role, you will build, validate, and maintain multi-variable time series forecasting models to project financial data and agency expenditures over multi-year horizons. You will work directly with financial records, taking ownership of the data lifecycle, from scraping, joining, and transforming raw datasets to rigorous model validation. We are looking for a resourceful problem-solver who excels at mathematical modeling, adapts quickly to changing data environments, and ensures our predictive tools remain accurate and resilient. As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned. Responsibilities • Time Series & Mathematical Modeling: Independently develop, compare, validate, and maintain advanced single-variable and multi-variable forecasting models using methods such as ARIMA, Prophet, regression, exponential smoothing, and tree-based models., • Data Pipeline Construction & Scripting: Design and maintain modular Python scripts and data pipelines to scrape, extract, clean, join, validate, and transform structured and unstructured financial data., • Model Validation & Quality Assurance: Design and execute backtesting, time-based cross-validation, regression testing, and model-monitoring workflows to ensure accuracy when code or data inputs change., • Quantitative Feature Engineering: Analyze historical pricing, inflation indices, economic indicators, budget cycles, and spending patterns to develop statistically and economically defensible features., • Model Performance & Risk Analysis: Evaluate forecast performance using RMSE, MAE, MAPE, bias, benchmark comparisons, and prediction intervals while preventing data leakage and look-ahead bias., • Technical Ownership: Document model assumptions, limitations, data dependencies, validation results, and recommended uses of model outputs., • Stakeholder Communication: Translate complex modeling results into clear reports, visualizations, recommendations, and leadership briefings., • Technical Guidance: Provide technical support, code reviews, and guidance to junior Data Scientists or analysts as assigned., • Resourcefulness & Learning: Evaluate new forecasting, statistical, AI, and machine-learning approaches and recommend improvements to analytical workflows., • Compliance & Security: Maintain strict compliance with defense security protocols, confidentiality guidelines, and internal data handling policies.Basic Qualifications US Citizenship Required Ability to obtain and maintain a Secret Security Clearance • Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or a related quantitative field and at least three years of relevant professional experience., • A Master’s or Ph.D. degree in a related quantitative field may substitute for a portion of the professional experience requirement., • Strong mathematical foundation in linear algebra, calculus, probability, statistics, and hypothesis testing., • Professional proficiency in Python for data manipulation, statistical modeling, time series forecasting, and automation scripting., • Demonstrated professional experience developing and validating predictive or time series forecasting models., • Demonstrated knowledge of both single-variable and multi-variable forecasting methods., • Experience with backtesting, time-based cross-validation, model benchmarking, and error-metric evaluation., • Strong understanding of data leakage, look-ahead bias, overfitting, feature stability, and model uncertainty., • Experience developing clean, modular, documented, and maintainable analytical code., • Ability to independently investigate data-quality, pipeline, or model-performance issues., • Strong verbal and written communication skills with the ability to explain mathematical models, assumptions, risks, and results to non-technical stakeholders., • If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment is offered.Preferred Skills and Qualifications, • Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or a related quantitative field., • Professional experience in Economics, Finance, Econometrics, Quantitative Accounting, financial planning, or budget forecasting., • Experience forecasting financial expenditures, pricing trends, inflation-adjusted costs, or multi-year budget requirements., • Experience with scikit-learn, statsmodels, Prophet, XGBoost, LightGBM, or similar modeling libraries., • Experience with SQL, APIs, web scraping, ETL processes, databases, and automated data pipelines., • Experience working with government financial data or in a defense-related environment., • Experience with automated testing, model monitoring, reproducible analytical workflows, or production model deployment., • Experience with DevOps practices, Git, GitHub, CI/CD pipelines, containers, or cloud environments., • Experience preparing technical documentation, customer briefings, and leadership presentations., • Experience reviewing code or mentoring junior technical staff., • Continued education and knowledge of current and emerging AI/ML technologies., • Strong problem-solving skills and the ability to work independently in a fast-paced environment. Company Summary Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team. VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status

Job Description Synectic Solutions is currently recruiting for a Computer Programmer to join our team supporting the Program Office for NSWC Corona in Norco, California. The Computer Programmer will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with other system administrators, cybersecurity personnel, and program analysts within an agile environment. This position is 100% onsite. • Work with development teams and product managers to ideate software solutions, • Analyze complex and unique technical support assignments, • Design client-side and server-side architecture, • Build the front-end of applications through appealing visual design, • Develop and manage well-functioning databases and applications, • Write effective APIs, • Test software to ensure responsiveness and efficiency, • Troubleshoot, debug and upgrade software, • Create security and data protection settings, • Build features and applications with a mobile responsive design, • Write technical documentation, • Work with data scientists and analysts to improve software, • Maintain, troubleshoot, and implement network security tools including firewalls, anti-virus, and intrusion detection services., • Answering questions about installation, operation, configuration, and customization., • Applying advanced diagnostic techniques to identify problems, investigate causes and recommend solutions to correct common failures., • Specific support consists of troubleshooting hardware, software, and network related issues encountered by users., • Installation of new software releases, system upgrades, evaluation and installation of patches and to resolve software related issues and Information Assurance Vulnerabilities (IAVs)., • Assist with the maintenance and monitoring of the organizational mailbox to ensure that all users receive timely support in response to their requests for assistance., • Maintain and develop IT related procedures required to support the organization., • Support also includes working with the organizations Information Systems Security Officer (ISSO) for achieving system accreditation., • Provide recommendation to future IT needs of the organization., • Maintain data files and monitors system configuration to ensure data integrity., • Assist in the preparation of a monthly progress and status report., • Other duties as assigned., • Bachelor's degree from an accredited college or university (software engineering, software integration, computer programming, data analyst/scientist), • Four plus (4+) years of experience as a Full Stack Developer, Software Engineer, Software Integrator, or Computer Programmer, • Must adhere to 8570.01M CWF Requirements - IAT Level II, • Proven experience as a Full Stack Developer or similar role, • Proven experience working in an Agile environment, • Experience developing desktop and mobile applications, • Familiarity with common stacks, • Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery), • Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js), • Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the minimum Secret level. Physical Demands: • Must be able to lift up to 25 pounds, • Must be able to stand and walk for prolonged amounts of time, • Must be able to twist, bend and squat periodically Targeted salary range is $80,000 to $95,000 annually based on qualifications and experience What Your Experience Working for Us Will Be Like Ask any of our employees and they will tell you SSI is a great place to work with an upbeat and positive culture. We take pride in our work to continuously improve on our performance in a manner that enhances the mission of the agencies we serve while expanding opportunities for our employees and our company. About Synectic Solutions, Inc. (SSI) Synectic Solutions, Inc. (SSI), is an award-winning, 20-year government contracting agency focused on the areas of logistics, engineering, management, and information technology. SSI is a growing organization committed to exceeding customer expectations, to continually improving all products, services, and processes, and to perform all work with the commitment to upholding the highest standards and ethics. Ready to apply? If this job sounds like a fit for you, then click on the ‘apply’ button below. Good luck! Powered by JazzHR BN2I1ooi4a

Job Description Job Summary We are seeking a talented and driven Data Scientist to join our evolving and dynamic team. This position is open to candidates at entry level of experience who possess a strong mathematical foundation and a passion for predictive modeling. In this role, you will build, validate, and maintain multi-variable time series forecasting models to project financial data and agency expenditures over multi-year horizons. You will work directly with financial records, taking ownership of the data lifecycle, from scraping, joining, and transforming raw datasets to rigorous model validation. We are looking for a resourceful problem-solver who excels at mathematical modeling, adapts quickly to changing data environments, and ensures our predictive tools remain accurate and resilient. As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned. Responsibilities • Time Series & Mathematical Modeling: Support the development and evaluation of statistical and time series forecasting models, including ARIMA, Prophet, regression, and tree-based models., • Data Pipeline Construction & Scripting: Write and maintain Python scripts to scrape, extract, clean, join, and transform structured and unstructured financial data from web sources, APIs, databases, and raw files., • Model Validation & Quality Assurance: Execute established validation workflows, compare model performance using metrics such as RMSE, MAE, and MAPE, and identify potential data-quality or data-leakage issues., • Quantitative Feature Engineering: Assist with analyzing historical pricing, inflation indices, budget cycles, and spending patterns to create features for forecasting models., • Data Analysis & Documentation: Perform exploratory data analysis and document data sources, assumptions, transformations, model results, and known limitations., • Stakeholder Communication: Create reports, visualizations, and summaries that explain analytical findings to technical and non-technical stakeholders., • Resourcefulness & Learning: Learn new domain requirements, proprietary databases, customer tools, and forecasting methods with guidance from senior team members., • Compliance & Security: Maintain strict compliance with defense security protocols, confidentiality guidelines, and internal data handling policies. Basic Qualifications US Citizenship Required Ability to obtain and maintain a Secret Security Clearance • Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or a related quantitative field., • Recent graduates and candidates with up to two years of relevant professional, internship, research, or academic experience are encouraged to apply., • Foundational knowledge of linear algebra, calculus, probability, and statistics., • Working knowledge of Python for data manipulation and analysis, including pandas and NumPy., • Academic, internship, research, or project experience involving statistical modeling, machine learning, predictive analytics, or time series forecasting., • Basic understanding of single-variable and multi-variable forecasting methods., • Understanding of model evaluation concepts, including training and test datasets, error metrics, overfitting, and data leakage., • Strong attention to detail and the ability to organize, document, and communicate analytical work., • Strong verbal and written communication skills with the ability to explain technical concepts clearly., • If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment is offered. Preferred Skills and Qualifications • Coursework, internship, research, or project experience in Economics, Finance, Econometrics, Accounting, or time series analysis., • Experience with scikit-learn, statsmodels, Prophet, matplotlib, or similar analytical libraries., • Familiarity with SQL, APIs, web scraping, ETL processes, or data-processing tools., • Experience completing a capstone, thesis, internship, or personal project involving forecasting or predictive modeling., • Exposure to government, defense, budgeting, or financial datasets., • Familiarity with inflation adjustments, budget cycles, fiscal years, and macroeconomic factors., • Familiarity with version control tools such as Git or GitHub., • Continued education and interest in current and emerging AI/ML technologies., • Strong problem-solving skills and the ability to work in a fast-paced environment. Company Summary Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team. VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status

Are you ready to dive into the world of big data and complex algorithms? We’re seeking a Senior Data Analyst/Scientist to become a key technical contributor on our Complex Algorithm Team. If you're passionate about solving complex business and technical problems, working with large-scale data, str

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts.We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation

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Collaborate closely with software engineering, product, detection engineering, and security engineering teams to embed algorithms and analytics directly into our platforms. Data Scientist / Software Engineer. At least 3 years of experience as a data scientist, ML engineer, or applied research engine

Job Description 100% On-site in Norco, CA Job Summary We are seeking a talented and driven mid-level Data Scientist to join our evolving and dynamic team. In this role, you will apply advanced data analytics and machine learning techniques to explore large, complex datasets for unknown trends and patterns regarding customer behavior, product performance, and operation efficiency to develop predictive models and support decision-making processes while adhering to the highest standards of security and confidentiality. You have a unique talent for finding answers to questions our customers never thought to ask by analyzing data in new ways. to solve complex problems in a variety of domains. Responsibilities Analyze large and complex datasets to extract actionable insights that will inform business strategies and decisions Develop, implement, and maintain predictive models and machine learning algorithms Collaborate with cross-functional teams to understand business needs and translate them into technical solutions Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data Prepare reports and presentations that effectively communicate your findings to both technical and non-technical stakeholders Ensure compliance with all security protocols and confidentiality requirements, adhering to industry standards and internal policies Support senior leadership in strategic decision-making through advanced data-driven insights Stay up-to-date with the latest developments in data science, machine learning, and related fields Provide technical guidance and mentorship to junior data scientists and analysts Basic Qualifications US Citizenship Required Active Secret Security Clearance Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field Two to five years of experience as a Data Scientist or in a related data analysis role Proficiency in Python, R, or similar programming languages for data analysis Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Knowledge of SQL and experience with relational databases Machine Learning experience Working knowledge and familiarity with data visualization tools like Tableau, Power BI, or similar Solid understanding of statistical modeling, hypothesis testing, and data-driven decision-making Excellent communication skills, with the ability to present technical findings to non-technical stakeholder Experience working with Atlassian product and project management tools (Jira, Confluence) If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment is offered Preferred Skills and Qualifications Experience working with classified government data or in a defense-related environment Familiarity with cloud platforms (AWS, Azure, etc.) and data processing tools Continued education and knowledge of current and emerging AL/ML technologies (e.g., Hadoop, Spark) Experience with DevOps practices and version control (Git, GitHub) Strong problem-solving skills and ability to work in a fast-paced environment Company Summary Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team. VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status

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Design data-sourcing methodologies that evaluate, score, and combine heterogeneous inputs (public filings, web sources, licensed data) into accurate, defensible account signals. As a Data Scientist on the Link Key Accounts team, you'll build the models and methodologies that turn multi-source health

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formula

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formul

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Role: Staff Data Scientist, Growth Analytics. We are seeking a Staff Data Scientist to own the analytical strategy across Foodsmart's Member growth engine. A full-stack analytics practitioner — strong across analytics engineering (dbt, semantic layer), business intelligence and dashboarding, and d

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Produce detailed documentation of the data architecture, including data dictionaries, entity relationship diagrams, and pipeline process maps. Migrate source data identified by SBA OIG into Azure Data Lake Storage. Optimize ingestion, processing, and storage across a wide variety of datasets and dat

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Support the integration of reciprocating engine facilities, gas turbine plants, HV substations and switchyards, utility interconnections, BESS assets, generation resources, and data center infrastructure. Intersect develops, constructs, and operates the most ambitious power and data center infrastru

Maintain project internal accounting database (Cashflow and project details) for accuracy.

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Oversee IT Operations & Maintenance, and monitoring functions supporting 150+ Windows/Linux servers, storage systems, and databases. Oversee Tableau infrastructure support including server administration, user access management, performance monitoring dashboard publishing workflows, and integration

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