Data science internship jobs in Somerton, AZ

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.

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 As a Data Scientist, 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. Apply analytical skills and Data Science techniques 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. As a Data Scientist, 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. Support process optimization through advanced modeling, leveraging experience as a Data Scientist where needed. 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.

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

Key Responsibilities Design and productionize models for opportunity scanning, anomaly detection, and significant change detection across CRM, streaming, ecommerce, and social data. Define and tune alerting logic (thresholds, SLOs, precision/recall) to minimize noise while surfacing high-value marketing actions. Partner with marketing, product, and data engineering to operationalize insights into campaigns, playbooks, and automated workflows, with clear monitoring and experimentation. Required Qualifications Strong proficiency in Python (pandas, NumPy, scikit-learn; plus experience with PySpark or similar for large-scale data) and SQL on modern warehouses (e.g., BigQuery, Snowflake, Redshift). Hands-on experience with time-series modeling and anomaly / changepoint / significant-movement detection(e.g., STL decomposition, EWMA/CUSUM, Bayesian/prophet-style models, isolation forests, robust statistics). Experience building and deploying production ML pipelines (batch and/or streaming), including feature engineering, model training, CI/CD, and monitoring for performance and data drift. Solid background in statistics and experimentation: hypothesis testing, power analysis, A/B testing frameworks, uplift/propensity modeling, and basic causal inference techniques. Familiarity with cloud platforms (GCP/AWS/Azure), orchestration tools (e.g., Airflow/Prefect), and dashboarding/visualization tools to expose alerts and model outputs to business users.

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

Senior GTM Data Analyst - Internal Data Products (Contract) Duration: 4-6 months (extendable) Onsite: 2 days/week in San Francisco Remote: PST time zone only Though the role says salesforce and other skills, main one is strong SQL and if they have tableau for data visualization, that is ideal SaaS/GTM exp needed Notes collected when speaking to the manager Someone that has experience building internal tooling using SQL - understand saas, business sales funnel and how that contributes to revenue etc. someone that can translate customer need to tech reqts and go back and explain it to the customer Strong SQL query experience needed. Tableau is a big plus for visualization The ideal candidate understands sales marketing, GTM, Saas and uses that knowledge to provide market insights. Senior GTM Data Analyst - Internal Data Products The Senior GTM Data Analyst will design, build, and scale internal data products that power GTM planning, resourcing, segmentation, and performance visibility. This role combines technical expertise with deep understanding of SaaS GTM operations to translate business needs into reliable, scalable data assets. Own end-to-end data product development - from business requirements and technical design to build, deployment, documentation, and maintenance. Partner with GTM Planning, Sales Ops, Marketing Ops, and Finance to translate ambiguous business questions into clear data requirements and analytical frameworks. Develop scalable pipelines and models in SQL/Snowflake to support territory design, capacity planning, coverage models, segmentation, and forecasting workflows. Build intuitive dashboards and self-serve assets in Tableau that increase operational visibility and reduce ad-hoc requests. Evaluate, contextualize, and translate business processes (e.g., lead routing, account whitespace) into accurate and maintainable data logic. Perform rigorous testing to ensure data accuracy and reliability Serve as the SME for internal GTM models Operate independently with minimal oversight Requirements 5+ years of experience in GTM Operations, Revenue Operations, Sales Operations, or similar data-intensive role within a large or high-growth SaaS company; Background creating datasets and tools supporting territory planning, segmentation, scoring models, capacity planning, or pipeline health. Expert-level proficiency in SQL (complex joins, window functions, CTEs), Snowflake, and Salesforce data model navigation. Advanced experience with Tableau (LOD expressions, parameters, complex calculations, performance optimization). Demonstrated ability to translate business processes into data structures, including operational edge cases and exception logic. Comfortable operating autonomously in ambiguous environments; able to prioritize and deliver high-quality work independently. Understanding of SaaS unit economics (ARR, ACV, retention, funnel metrics, productivity metrics). Experience building models in SQL or equivalent. Thanks Harpreet Email : *****************************

Key Responsibilities Design and develop marketing-focused machine learning models, including: Customer segmentation Propensity, churn, and lifetime value (LTV) models Campaign response and uplift models Attribution and marketing mix models (MMM) Build and deploy NLP solutions for: Customer sentiment analysis Text classification and topic modeling Social media, reviews, chat, and voice-of-customer analytics Apply advanced statistical and ML techniques to solve real-world business problems. Work with structured and unstructured data from multiple marketing channels (digital, CRM, social, email, web). Translate business objectives into analytical frameworks and actionable insights. Partner with stakeholders to define KPIs, success metrics, and experimentation strategies (A/B testing). Optimize and productionize models using MLOps best practices. Mentor junior data scientists and provide technical leadership. Communicate complex findings clearly to technical and non-technical audiences. Required Skills & Qualifications 7+ years of experience in Data Science, with a strong focus on marketing analytics. Strong expertise in Machine Learning (supervised & unsupervised techniques). Hands-on experience with NLP techniques, including: Text preprocessing and feature extraction Word embeddings (Word2Vec, GloVe, Transformers) Large Language Models (LLMs) is a plus Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch). Experience with SQL and large-scale data processing. Strong understanding of statistics, probability, and experimental design. Experience working with cloud platforms (AWS, Azure, or GCP). Ability to translate data insights into business impact. Nice to Have Experience with marketing automation or CRM platforms. Knowledge of MLOps, model monitoring, and deployment pipelines. Familiarity with GenAI/LLM-based NLP use cases for marketing. Prior experience in consumer, e-commerce, or digital marketing domains. EEO Centraprise is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

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.

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, Data Scientist with Gen Ai and Python experience Palo Alto CA- 5 days Onsite Interview Mode:-Phone & F2F Job Overview: Competent Data Scientist, who is independent, results driven and is capable of taking business requirements and building out the technologies to generate statistically sound analysis and production grade ML models DS skills with GenAI and LLM Knowledge, Expertise in Python/Spark and their related libraries and frameworks. Experience in building training ML pipelines and efforts involved in ML Model deployment. Experience in other ML concepts - Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, Model. Familiar with DS/ML Production implementation. Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks. Azure cloud and Databricks prior knowledge will be a big plus. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Full Time Hybrid- 3 Days a week on site About Us: Join us at Mi-Case, where we're at the forefront of developing innovative public safety products and solutions. We take pride in delivering fully-integrated software and exceptional client support, making a real impact in communities. As part of our team, you'll collaborate with passionate, talented colleagues and industry experts who are deeply committed to solving the unique challenges faced by our clients in the public safety sector. Together, we're replacing outdated systems with cutting-edge, mobile-ready solutions that empower our clients to enhance public safety and achieve their goals. Job Description: We are seeking a skilled Data Analyst to analyze legacy data sources and Mi-Case data requirements, and to develop detailed data mapping specifications. In this role, strong communication skills are essential for effectively conveying data requirements, identifying source data locations, and defining conversion rules. Proficiency in SQL and data analysis is required, as well as the ability to query data and provide thorough analysis. As a detail-oriented professional, you will be responsible for documenting element level data conversion specifications and communicating progress and requirements clearly to key stakeholders, including the Project Manager, client system Subject Matter Experts, application developers, data engineers, and quality analysts. You will focus on gathering, analyzing, and mapping data for migration purposes, ensuring data quality and integrity throughout the process. Your contributions will be vital to the successful transition of data from legacy systems to new platforms. Role: Collaborate with Mi-Case Application Developers, Legacy System Subject Matter Experts (SMEs), and stakeholders to gather, document, and analyze data migration requirements. Analyze and map data structures from legacy systems to target platforms, making certain that data mapping specifications and transformation rules are precise. Document the steps for data transformation, cleansing, and validation to uphold high standards of data quality and integrity. Track migration requirements, mapping rules, and progress through tools like DevOps, keeping stakeholders fully informed. Serve as the main point of contact for clients regarding data migration queries, delivering clear and consistent communication to manage expectations and keep the process aligned. Log migration errors and any records that weren't transferred, and investigate these issues to resolve them for future migration runs. Offer ongoing support to Project Managers, SMEs, developers, data engineers, and quality analysts by regularly communicating migration progress, updates, and troubleshooting any issues that arise. Minimum Years of Experience: 7 Years Education and skills: Experience: 4+ years of experience in data analysis or a related field, with a focus on data migration projects. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Experience with data analysis, mapping, and transformation processes. Proficient in SQL and database querying for data extraction and validation. Excellent communication skills and ability to work collaboratively with cross-functional teams. Detail-oriented with a strong commitment to data quality. Strong analytical and problem-solving skills. Experience with data migration tools and methodologies (preferred). Department of Corrections Technologies- ( Offender Management System ) Nice to Have: Knowledge of data governance and compliance best practices. Familiarity with ETL tools.

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

LABOR CATEGORY: Test Data Analyst SME II/SME III/SME IV JOB DESCRIPTION: Sehlke Consulting is currently seeking qualified candidates to provide Test Data Analysis Support to Marine Corps Air Station (MCAS) Yuma commands. The project includes technical contracted services solutions that will accelerate product delivery, enhance data analytics, and optimize the effectiveness of resources provided Testing and Evaluation. Duties and expectations include, but are not limited to the following: Attend test data review meetings. Assist in design of experiments and test planning processes. Assist in the data collection process. Develop data analysis processes. Assure data quality control. Assist in the verification and validation of test data against modeling and simulation data. Provide support to the generation of data analysis summaries and other analytical documents. Assist in the generation of reports and graphics which summarize data and test results. CLEARANCE REQUIREMENTS: Secret EDUCATION REQUIREMENTS: Bachelor's degree in a STEM field CERTIFICATION REQUIREMENTS: Desired: N/A EXPERIENCE REQUIREMENTS: 5+ years' experience researching, planning, developing, implementing and/or operating test database and data analysis hardware, software, and procedures to satisfy test data reduction, analysis, and presentation requirements. SYSTEM SPECIFIC EXPERIENCE REQUIREMENTS: Microsoft suite of systems Statistical Analysis Programs such as R Studio, SAS, MATLAB Modeling and Simulation tools such as SimuLink, COMSOLVE ADDITIONAL REQUIREMENTS: Travel required two weeks per year. Must be able to lift 50 pounds. Ability to effectively communicate orally and written. Ability to multi-task and employ problem-solving skills. Ability to take initiative in problem solving and achieve organizational goals with minimal oversight. To be eligible for employment, you must be fully vaccinated, except in limited circumstances where an employee is legally entitled to an accommodation, by January 4 th , 2022 or your start date, whichever is second in time. People are considered fully vaccinated for COVID-19 two weeks after they have received the second dose in a two-dose series, or two weeks after they have received a single-dose vaccine. If you think you are entitled to an accommodation, please advise your Sehlke liaison and they will consult our human resource leads for consideration. Founded in 2011, Sehlke Consulting is headquartered in Arlington, VA - and an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

Job DescriptionSteerBridge Strategies is a CVE-Verified Service-Disabled, Veteran-Owned Small Business (SDVOSB) delivering a broad spectrum of professional services to the U.S. Government and private sector. Backed by decades of hands-on experience in federal acquisition and procurement, we provide agile, best-in-class commercial solutions that drive mission success. Our strength lies in our people-especially the veterans whose leadership, discipline, and dedication shape everything we do. At SteerBridge, we don't just hire talent-we empower it, creating meaningful career paths for those who have served and those who share our commitment to excellence. SteerBridge seeks highly skilled and motivated Data Analyst to join our team for our AI/ML Spares Project. Our AI/ML Spares Project is at the forefront of applying advanced computational analytics to revolutionize supply chain management in the aerospace industry. Our team is dedicated to harnessing the power of AI/ML to increase parts availability and reduce maintenancewait times, ultimately maximizing aircraft availability and redefine operational readiness for aircraft missions. In this role, you will be responsible for performing Data Analyst tasks on-site within the existing systems of record with multiple databases. Your mission will be to enhance and optimize data entry, management, and extraction within this database to ensure its usability within our proprietary system. This position also involves mentoring and collaborating with Marines at thesquadron level, requiring a deep understanding of squadron-specific operations and a commitment to improving data entry and indexing practices. As a crucial link between our existing systems and data development, you will play a pivotal role in enhancing the efficiency and effectiveness of our data processes.Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays Requirements and Responsibilities Must be a U.S. Citizen. Bachelor's Degree in Computer Science, Electronics Engineering or other Engineering or Technical discipline plus a minimum of eight (8) years related work experience. Eight (8) years additional relevant experience may be substituted for education, for a total of sixteen (16) years of relevant work experience. An active security clearance or the ability to obtain one is required. RESPONSIBILITIES Performs tasks which may include obtaining data through advanced computerized models Extrapolating data patterns through advanced algorithms Developing simple graphs and charts to explain how the mathematical information will influence the specific project or business Presenting to managers how to best alter their business models to generate profitable future trends. PROFESSIONAL EXPERIENCE / QUALIFICATIONS Must bring a minimum of eight (8) years of experience to include the following: Experience providing innovative analytical insights within the Data Products Program. Conducting detailed data analysis on data used across business units to evaluate business processes and improve on/create new features. Responding to data and product-related inquiries in real-time to support business and technical teams. Performing various data analytics in SQL and MS Excel using statistical models or industry accepted tools. Providing relational database expertise to construct and execute SQL queries to be used in data analysis activities. Providing data solutions, tools, and capabilities to enable self-service frameworks for data consumers. Providing expertise and translating the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization. Experience developing and executing tools to monitor and report on data quality. Providing support to Tech teams in managing security mechanisms and data access governance. Excellent communication skills (written, oral, presentation); can effectively convert data into information and present key findings and insights to business stakeholders. Excellent collaboration skills: ability to influence without authority in a multi-disciplinary matrixed environment. A salary commensurate with experience will be offered.SteerBridge Strategies is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Responsible for coordinating and supporting the daily operations of Tactical Data Link (TDL) systems. Provides training to designated range personnel on TDL equipment functionality and usage. Responsibilities: Serve as the primary point of contact for operational and interoperability issues related to TDL systems. Coordinate with external TDL agencies, including training and testing facilities, to ensure system software, hardware, and architecture are up to date. Recommend and support the implementation of system modifications and capability upgrades. Conduct cost analysis, optimization studies, engineering evaluations, and system integration/installation efforts as needed. Collaborate with engineering personnel to drive capability improvements. Work with configuration management to document and maintain baseline configurations of TDL systems. Qualifications: Experience in TDL operations and system integration. Strong coordination and communication skills. Background in engineering or technical support roles is preferred. Familiarity with configuration management processes. Secret Clearance required with ability to obtain TS/SCI. Benefits: Sayres Defense offers a competitive benefits package including medical, dental, and vision insurance, retirement plan options, paid time off, and additional employee support programs. Eligibility and specific offerings may vary based on position, location, and other factors. The position description is only meant to be a representative summary of the major responsibilities and accountabilities performed by the incumbents of this position. The incumbents may be requested to perform position-related tasks other than those stated in this description. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, gender identity, disability or veteran status. At Sayres, our employees enjoy an atmosphere conducive to realizing their potential through personal and professional development while simultaneously exceeding customers' expectations. We offer a broad spectrum of technical, engineering and administrative services including acquisition, financial and program management; fleet synthetic training; logistics; ship construction engineering; systems engineering and integration; wargaming; test and evaluation; security, counterintelligence and policy analysis. Sayres is headquartered in Washington, DC with offices throughout the United States and has a presence abroad. #cj Job Posted by ApplicantPro

Any Employment Offers are Contingent Upon Successful Completion of the Following: * Verification of Work Authorization and Employment Eligibility * Substance Abuse Screening * Physical Exam (if applicable) * Background Checks for Badging/Security Clearances (if applicable) About Hensel Phelps: Founded in 1937, Hensel Phelps specializes in building development, construction and facility services in markets ranging from aviation to government, commercial, transportation, critical facilities, healthcare and transportation. Ranked #1 in aviation and #6 overall general contractor in 2024 by BD+C, Hensel Phelps is one of the largest employee-owned general contractors in the country. Driven to deliver EXCELLENCE in all we do and supported by our core values of Ownership, Integrity, Builder, Diversity and Community, Hensel Phelps brings our clients' visions to life with a comprehensive approach that begins with innovative planning and extends throughout the life of the property. Position Description: The primary goals for interns are to gain an understanding of the construction process and to assist the Field Engineers and Office Engineers in field and materials management. The internship program provides the intern and Hensel Phelps with an extended opportunity to evaluate if the fit is right for a long and successful career with Hensel Phelps after graduation. Position Qualifications: * Strong communication skills. * Computer software - Microsoft Office Suite, specifically Excel based templates, Prolog, Primavera and AutoDesk Suite. * Candidates are preferred to be pursuing a 4-year degree in Civil, Structural, Architecture or Construction Management. Essential Duties: * Subcontractor Management. * Submittal review skills. * RFI development. * Layout / surveying. * Daily reports. * Quality control and support of our safety plan. Physical Work Classification & Demands: Moderate Work. Exerting up to 50 pounds of force occasionally, and/or up to 25 pounds of force frequently, and/or 10 pounds of force constantly to move objects. * The individual in this position will periodically walk, kneel, sit, crouch, reach, stoop, read/see, speak, push, pull, lift, stand, and finger/type. The frequency of each action varies by workflow and office activity. * Walking - The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, boxes, cabinets, etc. * Constantly operates a computer and other office machinery, such as a calculator, copy machine, phone, computer, and computer printer. * The person in this position frequently communicates with employees and external stakeholders regarding a variety of topics related to office administration. * Constantly computes, analyzes, and conceptualizes mathematical calculations and formulas. * The person in this position regularly sits in a stationary position in front of a computer screen. * Constantly reads written communications and views mail submissions. Will also need to read blueprints and take/verify field measurements. * Climbing - Ascending or descending ladders, stairs, scaffolding and ramps at various heights. * Balancing - Ability to maintain body equilibrium to prevent falling and to walk, stand or crouch. * Stooping - Bending the body downward and forward by the spine at the waist. * Visual acuity and ability to operate a vehicle as certified and appropriate. * Occasionally exposed to high and low temperatures * Frequently exposed to noisy environments and outdoor elements such as precipitation and wind. Benefits: Hensel Phelps believes in the importance of taking time to recharge. As a result, employees are eligible for paid time off beginning upon hire. Equal Opportunity and Affirmative Action Employer: Hensel Phelps is an equal opportunity employer. Hensel Phelps is committed to engaging in affirmative action to increase employment opportunities for protected veterans and individuals with disabilities. Hensel Phelps shall not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity and expression, domestic partner status, pregnancy, disability, citizenship, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

CHS Inc. is a leading global agribusiness owned by farmers, ranchers and cooperatives across the United States that provides grain, food and energy resources to businesses and consumers around the world. We serve agriculture customers and consumers across the United States and around the world. Most of our 10,000 employees are in the United States, but today we have employees in 19 countries. At CHS, we are creating connections to empower agriculture. Summary CHS has an exciting opportunity in our ag retail division. We are looking for a Grain Operations Intern in Yuma, CO for Spring/Summer 2026! You will work extensively with ag retail cooperative customers to ensure they are provided with the highest level of service and information possible. You must be detail oriented with excellent communication skills, both verbal and written. We offer competitive pay, a dynamic learning environment, and long-term growth opportunities. Responsibilities Work with patrons in a courteous and professional manner Perform all job functions as needed to ensure facility operates smoothly and customers receive excellent customer service Control and monitor all loadout functions Understand and operate automatic scale / dump systems Blend product as prescribed and generate blends Monitor and maintain quality of inventory and blended products Review and maintain commodity inventory. Communicating with customers on account balances Understand pricing and buying of commodities Load and unload products from trucks and rail Communicate logistics needs for locations Operate heavy equipment as needed Conduct regular house cleaning duties, processes, and keeping records Follow all company policies, procedures, and safety requirements Perform other duties as needed or assigned Minimum Qualifications (required) Currently enrolled in Ag Business, Crop Science, or other Agriculture related degree program Proficient with Microsoft Office Software. Additional Qualifications Agriculture experience or background knowledge helpful. Previous internship experience helpful, but not required. CHS offers a competitive total rewards package. Compensation includes base wage and, depending upon position, may include other earnings such as bonus, incentives and commissions. Actual pay offered will vary based on multiple factors which may include, without limitation, experience, education, training, specialized skills and certifications, minimum wage/salary requirements under local law. If eligibility requirements are met, you may participate in 401(k). CHS is an Equal Opportunity Employer/Veterans/Disability. Please note that any communication from a CHS recruiter would be sent using a chsinc.com email address. In addition, a CHS recruiter will not ask for confidential information over the phone or in an email, or request money from a candidate involved in an offer process. If you have questions regarding an employment opportunity, please reach out to *********************; to verify that the communication is from CHS.

Gathers, analyzes, and interprets a wide variety of programmatic data. Designs and conducts data analysis. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results. Manages operations of several information systems and provides technical assistance to academic and administrative users statewide. This position is a career appointment that is 100% fixed. The home department is the Program Planning & Evaluation Department. While this position normally is based in Oakland, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University. Pay Scale: $88,900.00/year to $126,400.00/year Job Posting Close Date: This job is open until filled. The first application review date will be 10/24/2025. Key Responsibilities: 35% Gathers, analyzes, prepares, and summarizes the collection of information and data. Recommends approaches, trends, sources, and uses. Writes complex queries to gather programmatic data from multiple systems, using SQL in Microsoft SQL Server Management Studio and Microsoft Access, for annual reporting and ad hoc requests. Analyzes and prepares data to inform administrative and program decision making. Provides leadership to compile data for the Program Planning and Evaluation team and contributes to the analysis to meet annual federal program reporting requirements, strategic communications, and advocacy efforts. 20% Manages day-to-day operations for several information systems, including the following federal systems: The National Institute of Food Agriculture's (NIFA) Reporting System; the Research, Extension, and Education Project Online Reporting Tool; and the National Information Management and Support System, with over 500 UC ANR academic users. Provides training and technical assistance to users and to campus partners. Is a core member of the multicampus Program Reporting Group with administrative staff from the Deans' Offices. Liaises with Deans' Offices across multiple campuses and with USDA NIFA on policy and technical questions. Is a core member of the Product Owner Group for Project Board, the UC Cooperative Extension information system developed in-house, working closely with IT that is responsible for programming the system. Conducts testing when enhancements are deployed. Provides technical assistance to users statewide. Be a core team member, working with IT, to replace the publications data collection system Bibliography Project to improve administrative efficiencies. 20% Develops systems for organizing data to analyze, identify, and report trends. Structures and categorizes raw data to make it easily accessible, usable, and analyzable. Completes tasks such as data cleaning, standardization, classification, and potentially data warehousing. For example, retrieves, analyzes, and compiles UCPath data, the UC systemwide personnel system, for all UC ANR academics across multiple campuses and locations, to provide a quarterly report to leadership to illustrate trends and inform their academic staffing decisions. Manages an annual statewide survey of community educators to collect on data programmatic scope. Organizes and updates this academic and programmatic staff data in large, complex tables. 15% Prepares data for presentation in clear and compelling ways for a variety of audiences including administrators across the UC system and academics across disciplines, from senior leadership to researchers in the field, as well as UC ANR clientele/members of the public. For example, manages the programmatic and non-sensitive personnel data tasks for presentation in the online ArcGIS UC ANR Programmatic Footprint Maps. Tests maps to ensure the data is represented properly. Acts as a member of the project team that works on continued process improvements and map data enhancements. 5% Analyzes the interrelationships of data and defines logical aspects of data sets. Contributes to researching, assessing, and selecting new data reporting products. 5% Implements related business processes. Adapts processes to retrieve and analyze programmatic data when organization makes related changes. Manages proposal submission and provides process oversight for academic position planning and funding opportunities. Requirements: Bachelor's degree in related area and / or equivalent experience / training. Thorough skills in analysis and consultation. Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skills in project management. Skills at a level to evaluate alternate solutions and develop recommendation. Ability to create and edit tables in Structured Query Language (SQL). Ability to work independently and with a team. Interpersonal and verbal skills to effectively communicate with diplomacy and to interact with a wide range of academics and staff. Special Conditions of Employment: Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies. The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: https://apptrkr.com/get_redirect.php?id=6751108&target URL= Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=81754&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-b9a81a9e9cf59842a913c67f9291ce56

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.

Key Responsibilities Design and productionize models for opportunity scanning, anomaly detection, and significant change detection across CRM, streaming, ecommerce, and social data. Define and tune alerting logic (thresholds, SLOs, precision/recall) to minimize noise while surfacing high-value marketing actions. Partner with marketing, product, and data engineering to operationalize insights into campaigns, playbooks, and automated workflows, with clear monitoring and experimentation. Required Qualifications Strong proficiency in Python (pandas, NumPy, scikit-learn; plus experience with PySpark or similar for large-scale data) and SQL on modern warehouses (e.g., BigQuery, Snowflake, Redshift). Hands-on experience with time-series modeling and anomaly / changepoint / significant-movement detection(e.g., STL decomposition, EWMA/CUSUM, Bayesian/prophet-style models, isolation forests, robust statistics). Experience building and deploying production ML pipelines (batch and/or streaming), including feature engineering, model training, CI/CD, and monitoring for performance and data drift. Solid background in statistics and experimentation: hypothesis testing, power analysis, A/B testing frameworks, uplift/propensity modeling, and basic causal inference techniques. Familiarity with cloud platforms (GCP/AWS/Azure), orchestration tools (e.g., Airflow/Prefect), and dashboarding/visualization tools to expose alerts and model outputs to business users.