Data Scientist jobs at Systems Planning and Analysis - 1413 jobs

A leading global consulting firm seeks a Data Scientist - Director in San Francisco to drive AI solutions and data initiatives. The ideal candidate will lead multi-source data pipelines, architect complex data solutions while collaborating with business leaders. Candidates should have a strong educational background, extensive experience in data engineering, and proficiency with SQL and cloud-native infrastructure. This role offers a competitive salary range of $205,000 to $235,000 and promotes a hybrid working model. #J-18808-Ljbffr

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data. Skills and attributes for success · Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files). · Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. · Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). · Build data access layers optimized for ML (feature stores, event streams, vector stores). · Define and enforce standards for data provenance, quality checks, logging, and version control. · Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.). To qualify for the role you must have · A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. · Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. · Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). · Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). · Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards). · Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. · Basic understanding of ML/feature pipelines and downstream modeling needs. · The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have · Experience working in a startup and/or management/strategy consulting. · Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. · Collaborative, problem-solving, and growth-oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************. #J-18808-Ljbffr

Bilingual Data Scientist On-site in Greenwood Village, CO $40-$50/hour 1-year long W2 contract with benefits About the Role Our client is seeking a bilingual (English + Spanish) Data Scientist to take ownership of an in‑progress Large Language Model (LLM) project. The core solution is already built using GPT-based models, and the team has implemented recursive results and foundational architecture. Your role will be to continue model development, refine existing pipelines, improve performance, and support delivery ahead of the February deadline. You will work closely with cross-functional IT and data teams, transforming complex data into actionable insights while adhering to strict privacy, compliance, and organizational standards. This position is ideal for someone who thrives in fast-paced, research-driven environments and is comfortable working with modern AI tools and cloud technologies. Key Responsibilities Develop, refine, and productionize LLM‑based models, including a partially built GPT-driven solution. Apply data science and machine learning techniques such as clustering, regression, decision trees, SVMs, k‑nearest neighbors, collaborative filtering, matrix factorization, and market basket analysis. Conduct prompt engineering and retrieval‑augmented generation (RAG) workflows for model optimization. Improve model accuracy, relevance, and stability using advanced data mining and NLP techniques. Process and translate complex research data into clear, actionable insights. Work collaboratively with IT teams to design and maintain models within technology and privacy guidelines. Ensure strict adherence to data privacy and industry compliance standards. Utilize Azure-based tools, including Azure Databricks, for model training, deployment, and scalability. Communicate findings clearly in both English and Spanish, supporting bilingual model development and evaluation. Build internal and external professional networks to validate ideas and collaborate on complex challenges. Required Qualifications 1-5 years of professional experience as a Data Scientist or in a similar analytical role. Bilingual fluency in English and Spanish (written and verbal). Practical experience working on AI or LLM-related projects (GPT or similar models). Hands-on experience with: Prompt engineering Retrieval-Augmented Generation (RAG) GPT-based or other LLM architectures NLP techniques (SpaCy experience is a plus) Strong analytical skills with proven experience using clustering, regression analysis, decision trees, SVMs, etc. Proficiency with Azure cloud services, especially Azure Databricks. Strong communication skills with the ability to translate technical content for non-technical audiences. Demonstrated experience working with strict data privacy and data governance standards. Preferred Skills Experience with recursive model workflows. Familiarity with SpaCy-based NLP solutions. Exposure to industrial-grade computing environments or proprietary research tools. Strong teamwork and collaboration abilities. Why This Role Matters The LLM solution is already underway, and the core architecture is in place. This role is crucial for ensuring final delivery-your contributions will directly influence model performance, bilingual capability, and the success of the product launch in February.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Technology - Data and Decision Science - Data Engineering - Manager We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. The opportunity In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: Understanding and analyzing business requirements to translate them into technical requirements. Designing, building, and operating scalable data architecture and modeling solutions. Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. Key Responsibilities As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: Leading workstream delivery and ensuring quality in all processes. Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. Skills and attributes for success To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. Drive end‑to‑end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. Communicate effectively with stakeholders, including technical and non‑technical audiences, to convey complex data concepts and project progress. Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. Strong analytical and problem‑solving abilities. Excellent communication skills, with the ability to convey complex information clearly. Proven experience in managing and delivering projects effectively. Ability to build and manage relationships with clients and stakeholders. To qualify for the role, you must have Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. Proven expertise in Databricks and experience with Spark for big data processing. Strong background in data architecture and design, with experience in building complex cloud analytics solutions. Experience in leading and managing teams, with a focus on mentoring and developing talent. Strong programming skills in languages such as Python, Scala, or SQL. Excellent problem‑solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills, with a focus on client management. Required Expertise for Managerial Role Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision. Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption. Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies. Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes. Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. Large-Scale Implementation Programs Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. Ideally, you'll also have Experience with advanced data analytics tools and techniques. Familiarity with machine learning concepts and applications. Knowledge of industry trends and best practices in data engineering. Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. Knowledge of data governance and compliance standards. Experience with machine learning frameworks and tools. What we look for We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************. #J-18808-Ljbffr

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Technology - Data and Decision Science - Data Engineering - Manager We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. The opportunity In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: Understanding and analyzing business requirements to translate them into technical requirements. Designing, building, and operating scalable data architecture and modeling solutions. Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. Key Responsibilities As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: Leading workstream delivery and ensuring quality in all processes. Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. Skills and attributes for success To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. Strong analytical and problem‑solving abilities. Excellent communication skills, with the ability to convey complex information clearly. Proven experience in managing and delivering projects effectively. Ability to build and manage relationships with clients and stakeholders. To qualify for the role, you must have Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. Typically, no less than 4‑6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. Proven expertise in Databricks and experience with Spark for big data processing. Strong background in data architecture and design, with experience in building complex cloud analytics solutions. Experience in leading and managing teams, with a focus on mentoring and developing talent. Strong programming skills in languages such as Python, Scala, or SQL. Excellent problem‑solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills, with a focus on client management. Required Expertise for Managerial Role Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision. Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption. Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies. Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes. Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. Large-Scale Implementation Programs Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e‑commerce platforms) to enable advanced analytics and reporting capabilities. Real‑Time Analytics Platform: Managed the development of a real‑time analytics platform using Databricks for a financial services organization, enabling real‑time fraud detection and risk assessment through streaming data ingestion and processing. Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud‑native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. Ideally, you'll also have Experience with advanced data analytics tools and techniques. Familiarity with machine learning concepts and applications. Knowledge of industry trends and best practices in data engineering. Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. Knowledge of data governance and compliance standards. Experience with machine learning frameworks and tools. What we look for We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. What we offer you At EY, we'll develop you with future‑focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************. #J-18808-Ljbffr

Must be located in Omaha NE to work Hybrid schedule (3 days onsite)*** We are the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. We trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. We are seeking a Data Analyst with deep expertise in SQL Server to design, build, and maintain robust data solutions that support critical business operations. This role focuses on developing tables, views, and stored procedures; creating and maintaining Power BI reports; and building pipelines and automations in Azure Data Factory. The ideal candidate will combine strong technical skills with analytical thinking to deliver scalable, data driven solutions. Location - Omaha, NE (Hybrid - Tuesdays/Wednesdays/Thursdays) Responsibilities Design, develop, and maintain SQL Server objects including tables, views, stored procedures, and functions. Optimize queries and ensure database performance, integrity, and security. Build and maintain Power BI dashboards and reports to support evolving business needs. Develop and manage data pipelines and workflows in Azure Data Factory for efficient data movement and transformation. Collaborate with stakeholders to gather requirements and translate them into actionable data solutions. Monitor and troubleshoot data processes, ensuring reliability and accuracy across systems. Partner with cross functional teams on strategic projects and operational initiatives. Requirements Basic Qualifications: BS/MS in a quantitative field (Statistics, Data Science, Mathematics, Economics, Computer Science, or related), or equivalent practical experience. 6+ years of experience with SQL (MS SQL Server, Teradata, Oracle, MySQL), with a preference for Microsoft SQL Server (T-SQL) including stored procedures, views, functions, indexing, and query optimization. 2+ years of experience with data integration platforms (Azure Data Factory, SSIS, Boomi, etc.), with a preference for Azure Data Factory (pipelines, datasets, data flows). 2+ years of experience building and maintaining Power BI dashboards/reports (data modeling, DAX/Power Query, refresh strategies, governance). 2+ years of experience working in or supporting operations based workforce teams, with strong understanding of operational processes and data needs. Experience using Git for version control, including common workflows such as branching, committing, pushing, and submitting pull requests for code review and merge. Strong analytical/problem-solving skills and the ability to communicate insights clearly to both technical and non-technical audiences. Preferred Qualifications: Exposure to Power Automate for workflow automation. Familiarity with data lake platforms (e.g., Hadoop) and orchestration tools like Apache Airflow. Experience with big data technologies (e.g., Spark) and scripting languages (Python, R). Knowledge of workforce planning, scenario analysis, and optimization techniques. Strong communication skills to present findings to both technical and non-technical audiences. Key Metrics for Success: Accuracy and efficiency of SQL-based solutions and data pipelines. Adoption and impact of Power BI reports dashboards across business units. Operational improvements driven by automation and datadriven insights. Compensation $46.81 - $56.81 Hourly (W2/Non-Exempt) Req# 16295

HICO America, headquartered in Pittsburgh Pennsylvania with facilities in Los Angeles, Greensburg, PA, and Memphis TN, is part of the Power Systems business unit, in the Industrial Performance Group of the Hyosung Corporation, a large publicly traded corporation based in Seoul, South Korea. HICO is an ISO 9001 and 14001 certified company, with primary business in power system products. Reporting Structure: Reporting to the Manager of Purchasing Educational Requirement: Bachelor of Science or Similar: Supply Chain, Information Systems, Business Administration Computer Skill Requirements: SAP/HANA Experience: Advanced Skills working with Microsoft Xcel and Microsoft Teams/360. Travel: 0-5% The Procurement Data Analyst will analyze Purchasing Module data, identify errors, and set actionable insights that support the procurement department goals and initiatives. This role will also help review SAP data accuracy, develop dashboards, and ensure reporting consistency to help improve data accuracy and analysis. Responsibilities: Ensure data integrity and accuracy by performing data validation, and reconciliation activities. Compile, prepare, and analyze monthly KPI reports. Prepare monthly, quarterly, and annual reports and analyses. Act as a functional analyst to monitor and evaluate metric results. Provide coaching and training to SCM teams for effective adoption of Power BI reports. Download and maintain reports and translate to spreadsheets for department stakeholders. Work closely with cross-functional teams, including finance, IT, and business units, to understand data needs and translate them into technical requirements. Assist in the configuration and customization of SAP modules to meet specific business requirements. Provide training and support to end-users on SAP functionalities and best practices. Create and maintain documentation, including functional specifications, data flows, and user manuals. Strong analytical and problem-solving skills to interpret complex data and provide actionable insights. Develop and maintain reports and dashboards using SAP tools to track key performance indicators and business metrics. Excellent verbal and written communication skills to effectively convey technical information to non-technical stakeholders. HICO America provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Our client is seeking a Data Engineer to join their team! This position is located in Denver, Colorado. Perform data pipeline development and maintenance Build ETL processes from various sources into Snowflake, Azure, and Fabric Build views and monitor pipelines to ensure they run smoothly Design new data structures and explore how to leverage new tools or platforms Create proof-of-concept models and ensure data is organized for easy access and analysis Ensure proper data governance, security, and access control to create a comprehensive dataset Desired Skills/Experience: 3+ years of hands-on experience in data engineering, including designing, building, and maintaining data pipelines and architectures Hands on experience in both Python and SQL Proficient in ETL processes and a cloud technology such as: Databricks, Redshift, Snowflake, Fabric Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $110,000 - $113,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at ****************************************************

Pride Health is looking a Data Governance & Metadata Analyst to support our client's medical facility which in Philadelphia, PA (Onsite) Title :: Data Governance & Metadata Analyst Duration :: 10 + Month Contract with possibility of extension depends on your performance Rate :: $70 to 80/hr Job Summary: General Description: We are looking a highly skilled Data Governance & Metadata Analyst to serve as a liaison between technical teams and business stakeholders. This role is responsible for translating complex technical concepts related to metadata, governance, and reporting into clear, business-friendly documentation for the enterprise data catalog (Gene). The ideal candidate will support metadata completeness, advance governance initiatives, and improve transparency across core data domains Key Responsibilities Data Documentation & Translation Interpret and simplify complex technical concepts related to data assets, data lineage, reporting logic, and transformations for inclusion in the enterprise data catalog. Translate technical data rules into clear, actionable language for business and operational teams. Consolidate and summarize data rules for core domains (e.g., patient, provider) to ensure easy access for stakeholders. Create clear, user-friendly documentation explaining complex data processes in business terms. Define documentation standards and certification processes to ensure data quality and reliability. Ensure consistency, accuracy, and completeness of metadata and definitions across the data catalog. Metadata & Catalog Management Partner with Data Engineering and Data Analytics teams to document core and semantic tables in production. Identify gaps in existing metadata and collaborate with stakeholders to remediate them. Support enterprise metric documentation, including: Identifying and documenting enterprise metrics Creating frameworks to link related or similar metrics Retiring or remediating metrics without defined ownership Data Governance & Compliance Support data governance initiatives by maintaining transparency and traceability in data documentation. Collaborate with Research and Privacy teams to document PHI and PII handling guidelines for external data sharing. Create and maintain data policies for restricted data across the enterprise ecosystem. Partner with stakeholders to support and operationalize Data Retention policies in alignment with enterprise standards. Develop artifacts and documentation that make enterprise data initiatives accessible to both technical and business teams. Ensure governance policies are actionable, consistently applied, and linked to global enterprise policies. Required Skills & Qualifications Strong understanding of data management principles, including metadata, data quality, and reporting concepts. Proven ability to translate technical concepts into clear, concise, business-friendly documentation. Excellent communication and collaboration skills to work across technical and non-technical teams. Experience writing high-quality technical and business documentation. Bachelor's Degree (required). Benefits Pride Global offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. Equal Opportunity Employer As a certified minority-owned business, Pride Global and its affiliates - including Russell Tobin, Pride Health, and Pride Now - are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

Below are the 3 roles open: 1) Data Engineer 2) Data Scientist 3) Data Architect Job Descriptions: Data Engineer Design, build, and optimize batch and real-time data pipelines using Python, SQL, Airflow, Kafka, and AWS Glue Lead scalable ETL and data lake architectures across distributed cloud environments Ensure data quality, governance, security, and compliance while supporting analytics and data science needs Mentor junior engineers and collaborate with stakeholders to deliver reliable, well-documented data solutions Data Scientist 3+ years of experience in statistical modeling and applied data analysis, including regression, classification, clustering, and time-series analysis Proficient in Python or R, with hands-on experience in data wrangling, visualization, and model development Strong experience with SQL/Spark SQL, basic data modeling, and cloud platforms (AWS, Azure, or GCP) Excellent ability to communicate complex insights and manage multiple priorities effectively Data Architect: Lead and mentor data engineering teams while architecting and building enterprise-scale data platforms from design through production Develop and optimize production-grade ETL/ELT pipelines, data models, and data warehouses using Python, SQL, PySpark, and cloud platforms (AWS/GCP) Implement CI/CD, data governance, quality frameworks, and secure, compliant data solutions aligned with federal/VA standards Collaborate with cross-functional stakeholders to translate business requirements into scalable, high-quality data solutions

Job Title: Data Scientist Workplace: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years Supports U.S. Customs and Border Protection. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Requirements: * Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning. * Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience. * Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. * Ability to communicate analysis techniques, concepts and products. * Ability to develop data-driven solutions, data models, and visualizations Preferred Experience and Skills: * Expertise using Qlik to embed visualizations into webpages * Familiarity with Databricks or similar cloud-based distributed database technologies * Familiarity with PySpark and Python * Comfortable developing complex SQL queries to extract, transform, and load data * Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA) * Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs. Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * Remote Work: in an industry of declining remote work opportunities. * People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement. * Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

Job Title: Data Scientist Workplace: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years Supports U.S. Customs and Border Protection. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Requirements: Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning. Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience. Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. Ability to communicate analysis techniques, concepts and products. Ability to develop data-driven solutions, data models, and visualizations Preferred Experience and Skills: Expertise using Qlik to embed visualizations into webpages Familiarity with Databricks or similar cloud-based distributed database technologies Familiarity with PySpark and Python Comfortable developing complex SQL queries to extract, transform, and load data Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA) Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs. Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. Remote Work: in an industry of declining remote work opportunities. People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Description About LegalZoomLegalZoom is on a mission to help people navigate the legal system with confidence and clarity. As a leader in online legal services for over 20 years, we combine technology, attorney-led solutions, and expertise to protect the aspirations, lives, and legacies of millions of customers. If you're ready to contribute to a collaborative, diverse, and distributed group of creative thinkers and problem-solvers, we can't wait to meet you.Candidates must be located in the Mountain View CA or Los Angeles CA area.OverviewWe're hiring a Staff Data Scientist to partner with our Partnerships team and Finance as a proactive thought leader. The Partnerships team builds and scales acquisition and ecosystem relationships with partner companies, integrating experiences and co‑marketing to drive measurable growth, margin, and customer value. You'll develop metrics, experiments, and models that power partner onboarding, standardized measurement, pricing strategy, and performance optimization. You'll collaborate deeply with Partnerships, Finance, Data Science, Data Engineering, Engineering, and Product to ensure data requirements are captured early and instrumentation is consistent across systems. You will Act as a data thought partner to Partnerships and Finance, guiding strategy and prioritization with proactive analysis and clear recommendations. Lead standardized measurement for partner performance by defining KPIs, building partner scorecards, and operationalizing a single source of truth across dashboards and self-serve tools. Embed data requirements into the partner lifecycle (from contract discussions through onboarding) to ensure we can reliably measure attribution, conversion, LTV, revenue share, and ongoing ROI. Drive partner onboarding analytics by aligning tracking and event schemas with Data Engineering, Product, and Engineering; close gaps in attribution and funnel visibility. Own pricing strategy and optimization analytics (elasticity measurement, price tests, revenue and margin tradeoffs) and advise on deal structures with Finance. Design and analyze experiments (A/B and multivariate) and run causal inference studies (e.g., diff-in-diff, matching, synthetic control) when randomized tests aren't feasible. Build and evolve partner/channel custom attribution approaches (rule-based baselines to model-based methods) that inform spend allocation, partner incentives, and roadmap decisions. Explore “green-field” opportunities via proactive deep dives, root-cause analyses, and opportunity sizing across the partner ecosystem and in-product experiences. Ship durable, production-grade analytics and data layers with well-documented pipelines in partnership with Data Engineering. Communicate insights to partner-facing stakeholders in clear, layperson terms; support adhoc analyses and weekly business review narratives as needed. You have 7+ years in data science, decision science, or advanced analytics with a track record influencing senior stakeholders and driving measurable business outcomes. Advanced proficiency in SQL and strong skills in Python for analysis, modeling, and reproducible workflows. Experience working with modern data stacks including a modern cloud warehouse (e.g. Snowflake), orchestration (e.g. Airflow), attribution analytics (GA4/Segment), version control (GitHub), BI/visualization (ThoughtSpot/Tableau), and notebook tools (Hex/Jupyter). Excellence in data storytelling-able to translate complex findings into crisp, actionable recommendations for non-technical audiences. Business acumen in pricing, partner economics, and financial modeling, with an ability to collaborate closely with Finance. Experience partnering with engineers on instrumentation and data quality. Expertise in metric development and experimentation, including test design, power analysis, and end-to-end evaluation. Hands-on experience with causal inference methods and pragmatic application to business decisions. Familiarity with AI/ML techniques (e.g., uplift modeling, classification/propensity, forecasting) and when to apply them vs. simpler baselines. LegalZoom is a remote-friendly company and the national range for this role is ($140,500-$182,100). Actual compensation offered will depend on several factors including but not limited to: geographic location, work experience, education, skill level, and/or other business and organizational needs. In addition, an annual bonus, incentive bonus and/or restricted stock units may be provided as part of the compensation package. You will also receive a full range of medical, financial, and other benefits as seen below. ● Medical, Dental, Vision Insurance ● 401k, With Matching Contributions ● Paid Time Off ● Health Savings Account (HSA) ● Flexible Spending Account (FSA) ● Short-Term/Long-Term Disability Insurance ● Plus other wellness benefits to include: Fertility Mental Health One Medical Fringe lifestyle benefits up to $250 Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Additionally, LegalZoom is enrolled in the E-Verify program. For additional information on E-Verify, please visit Participation and Right to Work pages.

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research * Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. * Career Stability: We hire for careers, not contractsour work is growing * People-Focused Culture: We value work-life balance, collaboration, and professional growth. * Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). * Competitive Pay & Benefits: * Typical salary range: $117k-$196K, depending on experience and contract labor category * 401(k) with employer contribution * Health, dental, and vision coverage * Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at:

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. Career Stability: We hire for careers, not contracts our work is growing People-Focused Culture: We value work-life balance, collaboration, and professional growth. Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). Competitive Pay & Benefits: Typical salary range: $117k-$196K, depending on experience and contract labor category 401(k) with employer contribution Health, dental, and vision coverage Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at: **************************** Position Overview: We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges. These positions will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer. Essential Functions: As a Data Scientist, you will: Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets. Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics. Design and execute experiments or create models to generate data when training datasets are unavailable. Generate reports and visualizations that provide actionable insights and summarize data findings for clients. Translate complex data analysis into clear, actionable recommendations. Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks. Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects. Apply expert knowledge in data science to deliver solutions that address clients' business needs. Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work. This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness. Requirements: A current TS/SCI with Polygraph is required for this role. BA/BS in Math, Statistics, Engineering, Computer Science, or related field Proficiency with Python and R. Experience using large data sets to solve problems. Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling. AWS or Cloud experience. Ability to communicate complex models and concepts effectively in non-technical language. Desired Qualifications: Bachelors Degree with 4+ years of relevant experience. Masters Degree with 2+ years of relevant experience. PhD. with 1+ years of relevant experience. Familiarity with commercial and open-source data science software. Familiarity with relational databases: Oracle, SQL, and ETL tools. Salary and Benefit Information: The likely salary range for this position is $117,000-$196,000. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range. Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off. About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - for example, each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Description About LegalZoomLegalZoom is on a mission to help people navigate the legal system with confidence and clarity. As a leader in online legal services for over 20 years, we combine technology, attorney-led solutions, and expertise to protect the aspirations, lives, and legacies of millions of customers. If you're ready to contribute to a collaborative, diverse, and distributed group of creative thinkers and problem-solvers, we can't wait to meet you.Candidates must be located in the Mountain View CA or Los Angeles CA area.OverviewWe're hiring a Staff Data Scientist to partner with our Partnerships team and Finance as a proactive thought leader. The Partnerships team builds and scales acquisition and ecosystem relationships with partner companies, integrating experiences and co‑marketing to drive measurable growth, margin, and customer value. You'll develop metrics, experiments, and models that power partner onboarding, standardized measurement, pricing strategy, and performance optimization. You'll collaborate deeply with Partnerships, Finance, Data Science, Data Engineering, Engineering, and Product to ensure data requirements are captured early and instrumentation is consistent across systems. You will Act as a data thought partner to Partnerships and Finance, guiding strategy and prioritization with proactive analysis and clear recommendations. Lead standardized measurement for partner performance by defining KPIs, building partner scorecards, and operationalizing a single source of truth across dashboards and self-serve tools. Embed data requirements into the partner lifecycle (from contract discussions through onboarding) to ensure we can reliably measure attribution, conversion, LTV, revenue share, and ongoing ROI. Drive partner onboarding analytics by aligning tracking and event schemas with Data Engineering, Product, and Engineering; close gaps in attribution and funnel visibility. Own pricing strategy and optimization analytics (elasticity measurement, price tests, revenue and margin tradeoffs) and advise on deal structures with Finance. Design and analyze experiments (A/B and multivariate) and run causal inference studies (e.g., diff-in-diff, matching, synthetic control) when randomized tests aren't feasible. Build and evolve partner/channel custom attribution approaches (rule-based baselines to model-based methods) that inform spend allocation, partner incentives, and roadmap decisions. Explore “green-field” opportunities via proactive deep dives, root-cause analyses, and opportunity sizing across the partner ecosystem and in-product experiences. Ship durable, production-grade analytics and data layers with well-documented pipelines in partnership with Data Engineering. Communicate insights to partner-facing stakeholders in clear, layperson terms; support adhoc analyses and weekly business review narratives as needed. You have 7+ years in data science, decision science, or advanced analytics with a track record influencing senior stakeholders and driving measurable business outcomes. Advanced proficiency in SQL and strong skills in Python for analysis, modeling, and reproducible workflows. Experience working with modern data stacks including a modern cloud warehouse (e.g. Snowflake), orchestration (e.g. Airflow), attribution analytics (GA4/Segment), version control (GitHub), BI/visualization (ThoughtSpot/Tableau), and notebook tools (Hex/Jupyter). Excellence in data storytelling-able to translate complex findings into crisp, actionable recommendations for non-technical audiences. Business acumen in pricing, partner economics, and financial modeling, with an ability to collaborate closely with Finance. Experience partnering with engineers on instrumentation and data quality. Expertise in metric development and experimentation, including test design, power analysis, and end-to-end evaluation. Hands-on experience with causal inference methods and pragmatic application to business decisions. Familiarity with AI/ML techniques (e.g., uplift modeling, classification/propensity, forecasting) and when to apply them vs. simpler baselines. LegalZoom is a remote-friendly company and the national range for this role is ($140,500-$182,100). Actual compensation offered will depend on several factors including but not limited to: geographic location, work experience, education, skill level, and/or other business and organizational needs. In addition, an annual bonus, incentive bonus and/or restricted stock units may be provided as part of the compensation package. You will also receive a full range of medical, financial, and other benefits as seen below. ● Medical, Dental, Vision Insurance ● 401k, With Matching Contributions ● Paid Time Off ● Health Savings Account (HSA) ● Flexible Spending Account (FSA) ● Short-Term/Long-Term Disability Insurance ● Plus other wellness benefits to include: Fertility Mental Health One Medical Fringe lifestyle benefits up to $250 Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Additionally, LegalZoom is enrolled in the E-Verify program. For additional information on E-Verify, please visit Participation and Right to Work pages.

LegalZoom is on a mission to help people navigate the legal system with confidence and clarity. As a leader in online legal services for over 20 years, we combine technology, attorney-led solutions, and expertise to protect the aspirations, lives, and legacies of millions of customers. If you're ready to contribute to a collaborative, diverse, and distributed group of creative thinkers and problem-solvers, we can't wait to meet you. Candidates must be located in the Mountain View CA or Los Angeles CA area. Overview We're hiring a Staff Data Scientist to partner with our Partnerships team and Finance as a proactive thought leader. The Partnerships team builds and scales acquisition and ecosystem relationships with partner companies, integrating experiences and co‑marketing to drive measurable growth, margin, and customer value. You'll develop metrics, experiments, and models that power partner onboarding, standardized measurement, pricing strategy, and performance optimization. You'll collaborate deeply with Partnerships, Finance, Data Science, Data Engineering, Engineering, and Product to ensure data requirements are captured early and instrumentation is consistent across systems. You will * Act as a data thought partner to Partnerships and Finance, guiding strategy and prioritization with proactive analysis and clear recommendations. * Lead standardized measurement for partner performance by defining KPIs, building partner scorecards, and operationalizing a single source of truth across dashboards and self-serve tools. * Embed data requirements into the partner lifecycle (from contract discussions through onboarding) to ensure we can reliably measure attribution, conversion, LTV, revenue share, and ongoing ROI. * Drive partner onboarding analytics by aligning tracking and event schemas with Data Engineering, Product, and Engineering; close gaps in attribution and funnel visibility. * Own pricing strategy and optimization analytics (elasticity measurement, price tests, revenue and margin tradeoffs) and advise on deal structures with Finance. * Design and analyze experiments (A/B and multivariate) and run causal inference studies (e.g., diff-in-diff, matching, synthetic control) when randomized tests aren't feasible. * Build and evolve partner/channel custom attribution approaches (rule-based baselines to model-based methods) that inform spend allocation, partner incentives, and roadmap decisions. * Explore "green-field" opportunities via proactive deep dives, root-cause analyses, and opportunity sizing across the partner ecosystem and in-product experiences. * Ship durable, production-grade analytics and data layers with well-documented pipelines in partnership with Data Engineering. * Communicate insights to partner-facing stakeholders in clear, layperson terms; support adhoc analyses and weekly business review narratives as needed. You have * 7+ years in data science, decision science, or advanced analytics with a track record influencing senior stakeholders and driving measurable business outcomes. * Advanced proficiency in SQL and strong skills in Python for analysis, modeling, and reproducible workflows. * Experience working with modern data stacks including a modern cloud warehouse (e.g. Snowflake), orchestration (e.g. Airflow), attribution analytics (GA4/Segment), version control (GitHub), BI/visualization (ThoughtSpot/Tableau), and notebook tools (Hex/Jupyter). * Excellence in data storytelling-able to translate complex findings into crisp, actionable recommendations for non-technical audiences. * Business acumen in pricing, partner economics, and financial modeling, with an ability to collaborate closely with Finance. * Experience partnering with engineers on instrumentation and data quality. * Expertise in metric development and experimentation, including test design, power analysis, and end-to-end evaluation. * Hands-on experience with causal inference methods and pragmatic application to business decisions. * Familiarity with AI/ML techniques (e.g., uplift modeling, classification/propensity, forecasting) and when to apply them vs. simpler baselines. LegalZoom is a remote-friendly company and the national range for this role is ($140,500-$182,100). Actual compensation offered will depend on several factors including but not limited to: geographic location, work experience, education, skill level, and/or other business and organizational needs. In addition, an annual bonus, incentive bonus and/or restricted stock units may be provided as part of the compensation package. You will also receive a full range of medical, financial, and other benefits as seen below. ● Medical, Dental, Vision Insurance ● 401k, With Matching Contributions ● Paid Time Off ● Health Savings Account (HSA) ● Flexible Spending Account (FSA) ● Short-Term/Long-Term Disability Insurance ● Plus other wellness benefits to include: Fertility Mental Health One Medical Fringe lifestyle benefits up to $250 Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Additionally, LegalZoom is enrolled in the E-Verify program. For additional information on E-Verify, please visit Participation and Right to Work pages.

Data Scientist Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. - Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field. - Programming skills in one of the following languages: Java, Scala, C/C++. - Knowledge of one of the scripting languages such as Python or Perl. - Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R. - Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). - Working knowledge of Relational Data Base Systems and SQL. - Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set. - Excellent communications and organizational skills - Prior experience in this area with eCommerce or Online Retail would be a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

General Information Requisition # 642 Locations USA-VA-Arlington - Hybrid, USA-DC-Washington - Hybrid, USA-MD-Maryland - Hybrid, USA-VA-Virginia - Hybrid, USA - Remote - Eastern Time Zone Posting Date 01/22/2026 Security Clearance Required - Active IRS Public Trust w/ Background Investigation Remote Type Onsite/Hybrid Time Type Full time Description & Requirements As a Data Scientist, you will support the Internal Revenue Service s mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts. In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include but are not limited to: Prior programming experience, preferably in Python or R, including data exploration, feature engineering, and model development Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science driven solutions in support assessments, gap analyses, and actionable recommendations for IRS stakeholders Design, develop, test, and implement quantitative and qualitative data science solutions that are modular, maintainable, and adaptable to evolving government and regulatory requirements Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, and statistical evaluation Apply statistical and machine learning techniques to anomaly detection, fraud identification, and non-compliance risk scoring, including supervised and unsupervised approaches to help prioritize cases based on compliance risk, fraud indicators and business impact Develop and evaluate predictive risk models used to support audit selection, refund review, and fraud prevention initiatives Test and validate models using robustness, sensitivity, and significance testing, ensuring defensible and explainable results Write modular, reusable, and well-documented code within an iterative development process that includes peer review and collaboration Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication Demonstrated ability to work independently in a collaborative, fast-paced environment Strong interpersonal, written, and verbal communication skills, with the ability to translate business and compliance needs into technical solutions Experience using Markdown for technical documentation Minimum Qualifications Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences 2-10+ years of experience in data science, analytics, or a related technical field Experience using version control systems (e.g., Git) and collaborative development practices Strong understanding of relational databases and SQL Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges Willingness to travel and work on-site at client locations as required by project needs Preferred Qualifications Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields Experience with PySpark, Unity Catalog, and Jobs in DataBricks Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes Experience with graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities Familiarity with platforms and tools such as Databricks, and AWS Experience with containerization and environment management (e.g., venv, conda) Understanding of the data analytics lifecycle (e.g., CRISP-DM) Experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting Experience operating in secure or remote government environments, including use of bash and command-line tools Clearance & Other Requirements Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference supporting U.S. national security. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.