Data science internship jobs in Quartz Hill, CA - 579 jobs

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. **Description** Put your skills to the test by pushing the boundaries of what's possible. From global defense to sustainment and modernization to mission readiness, your experience and ability will make it a reality. Our programs are built on equal parts of curiosity and collaboration. Our combined effort means our customers can connect and defend millions of people around the world. With Northrop Grumman, you'll have the opportunity to be an essential part of projects that will define your career, now and in the future. Northrop Grumman Defense System is seeking a Data Insight Analyst (Level 2) or Principal Data Insight Analyst (Level 3) to join our team of qualified, diverse individuals. **Responsibilities:** The successful candidate will be responsible in specifying, collecting, processing, and presenting information from potentially several disparate data sets. Will generate actionable knowledge from data. Have the analytical and problem-solving skills necessary for quickly developing recommendations based on quantitative and qualitative data from many different types of sources. Have the ability to identify patterns and higher-level information from all the data sources through use of tools and application programming. Understands the general problem space and is confident in explaining the different insights generated from the data. Responsible for data integrity and metrics reporting. Candidate must be familiar with aircraft systems such as avionics/mechanical equipment as well as other common systems. **Data Insight Analyst (Level 2) Basic Qualifications:** + Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) + Ability to use statistical programming languages and tools (e.g., Python, Tableau) + Experienced Microsoft Office skills with emphasis in Excel, PowerPoint, and Access. + Must have 2 years with bachelor's degree or must have 0 years with Masters. + 6 years of relevant experience may be used as a substitute for education. + Experience conducting ad hoc research and reporting through data analysis. + Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year. + Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph. + Additionally, the ability to obtain and retain Special Program access is required as condition of employment within 365 days of submission. **Principal Data Insight Analyst (Level 3) Basic Qualifications:** + Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) + Ability to use statistical programming languages and tools (e.g., Python, Tableau) + Advanced Microsoft Office skills with an emphasis in Excel, PowerPoint, and Access. + Must have 5 years with bachelor's degree or must have 3 years with Masters. + 10 years of relevant experience may be used as a substitute for education. + Experience conducting ad hoc research and reporting through data analysis. + Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year. + Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph. + Additionally, the ability to obtain and retain Special Program access is required as condition of employment within 365 days of submission. **Preferred Qualifications:** + Operational experience is preferred over manufacturing or production, but all candidates will be considered. + Understanding of Linear/Logistic Regression, Decision Trees, Random Forest boosting algorithms. + Experience with technical writing skills and the ability to communicate complex data in a simple and actionable way. + Additional education and/or experience relevant to the aircraft systems, aviation and aerospace Industry required. Level 2 Salary Range: **$81,300.00 - $121,900.00** Level 3 Salary Range: **$100,300.00 - $150,500.00** Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. Primary Level Salary Range: $81,300.00 - $121,900.00 Secondary Level Salary Range: $100,300.00 - $150,500.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Program DurationThe internship program will run from June 1 through August 28, 2026. Where you'll work This is a hybrid role that requires in-office collaboration three days per week in Los Angeles. About the Role As a Data Scientist Intern at Tinder, you'll help us uncover insights from one of the world's largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You'll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.What you'll do: Explore and analyze large-scale datasets to identify patterns, trends, and opportunities. Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement. Design and execute A/B experiments to measure the impact of product features and algorithmic changes. Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies. Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos. Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements. Participate in improving the team's tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation. What we're looking for: Passion for using data and experimentation to solve complex problems. Intermediate to advanced SQL skills for data querying and analysis. Familiarity with / building to proficiency in Python. Strong foundation in statistics, probability, and machine learning fundamentals. Understanding of data structures and algorithms. Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field. $43 - $43 an hour The compensation range listed above is representative of the hourly rate offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ******************************** If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder 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.

Team Intro The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join our product and operations team, together we can build an e-commerce ecosystem that is innovative, secure and intuitive for our users. Responsibilities: * Work with large and complex datasets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our E-commerce product * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Develop data pipelines and dashboards to enhance data infrastructure * Develop ML models to find potential creators, measuring LTV of users, etc * Cooperate with PM/Ops/R&D and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Minimum Qualifications * Master degree or above, majoring in mathematics, statistics, computer science * Proficient in SQL, tableau and familiar with Python or R for modeling project * 3+ years of working experience in data science, machine learning * Effectively communicate and present results of data analyses to stakeholders to drive business impact Preferred Qualifications * Ecommerce experience * Self-driven, be able to work with cross-functional teams

About the Role & Program Join the Content Understanding Data Science team within Disney's Direct-to-Consumer business as a summer intern. You will work with a group of senior data scientists to fine-tune pre-trained models developing Multi-Modal ML models to extract meaningful metadata from video, image, audio, artwork, and text that could be used in numerous downstream applications such as segmentation, forecasting, targeting, and recommendation. These applications can drive significant impacts in Content Programming, Curation, Marketing, and Ads. You will learn skills in ML, NLP, and work with state-of-the-art LLM models, building stakeholder relationships, and executive communication. This opportunity will require close collaboration with Content, Data Engineering, Product and other data scientists. What You Will Do Build pipelines based on video, audio, text, artwork data and get the data ready for modeling. Fine-tune multi-modal foundational models Collaborate with data engineers to ensure the accuracy and quality of data Work with cutting-edge LLM models to extract meaningful metadata Present the methods and outputs effectively using data visualization tools or oral presentations. Required Qualifications & Skills Solid Python programming skills Exceptional curiosity, and a drive to learn new tools and work with new models Strong ability to build relationships with teammates, business partners, and technical colleagues. Hands-on experience with PyTorch/TensorFlow Hands-on experience with modern LLM APIs and familiarity with AI orchestration tools such as Huggingface, Langchain, Google ADK or similar and MCPs Preferred Qualifications & Skills Familiarity with fine-tuning techniques like PEFT, LORA Multimodal model experience (e.g., CLIP, ViTs), Big-data or cloud experience Education Currently enrolled as a Graduate level student pursuing a graduate degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics or related field. Eligibility Requirements & Program Information Candidates for this opportunity MUST meet all the requirements below: Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR currently participating in a Disney College Program or Disney Internship Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program. Be at least 18 years of age Possess unrestricted work authorization Additional Information The approximate dates of this position are May/June 2026 through August/September 2026 Able to provide/have reliable transportation to/from work Fully available from Monday-Friday for the duration of the position, 40 hours per week The pay rate for this internship in California is $47 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: **************************************** Job Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Technology Intern Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-01-14

**About the Role & Program** Join the Content Understanding Data Science team within Disney's Direct-to-Consumer business as a summer intern. You will work with a group of senior data scientists to fine-tune pre-trained models developing Multi-Modal ML models to extract meaningful metadata from video, image, audio, artwork, and text that could be used in numerous downstream applications such as segmentation, forecasting, targeting, and recommendation. These applications can drive significant impacts in Content Programming, Curation, Marketing, and Ads. You will learn skills in ML, NLP, and work with state-of-the-art LLM models, building stakeholder relationships, and executive communication. This opportunity will require close collaboration with Content, Data Engineering, Product and other data scientists. **What You Will Do** + Build pipelines based on video, audio, text, artwork data and get the data ready for modeling. + Fine-tune multi-modal foundational models + Collaborate with data engineers to ensure the accuracy and quality of data + Work with cutting-edge LLM models to extract meaningful metadata + Present the methods and outputs effectively using data visualization tools or oral presentations. **Required Qualifications & Skills** + Solid Python programming skills + Exceptional curiosity, and a drive to learn new tools and work with new models + Strong ability to build relationships with teammates, business partners, and technical colleagues. + Hands-on experience with PyTorch/TensorFlow + Hands-on experience with modern LLM APIs and familiarity with AI orchestration tools such as Huggingface, Langchain, Google ADK or similar and MCPs **Preferred Qualifications & Skills** + Familiarity with fine-tuning techniques like PEFT, LORA + Multimodal model experience (e.g., CLIP, ViTs), + Big-data or cloud experience **Education** Currently enrolled as a Graduate level student pursuing a graduate degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics or related field. **Eligibility Requirements & Program Information** **Candidates for this opportunity MUST meet all the requirements below:** + Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR currently participating in a Disney College Program or Disney Internship + Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program. + Be at least 18 years of age + Possess unrestricted work authorization **Additional Information** + The approximate dates of this position are May/June 2026 through August/September 2026 + Able to provide/have reliable transportation to/from work + Fully available from Monday-Friday for the duration of the position, 40 hours per week The pay rate for this internship in California is $47 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: **************************************** **Job ID:** 10135439 **Location:** Santa Monica,California **Job Posting Company:** Disney Direct to Consumer The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Vital Lyfe is a tech company redefining water autonomy through innovation - creating a new category of personal water-making technology built to scale where infrastructure can't. Mission We're looking for passionate and driven interns to join our mission and gain hands-on experience working on impactful projects. What You'll Do Conduct water quality analysis and testing for desalination systems. Research and evaluate filtration technologies and material properties. Assist in developing sustainable and efficient water purification methods. Physical Job Requirements - Essential Functions Hands on work on development hardware. Long periods of standing, crouching, walking. Lifting up to 50 lbs What We're Looking For Education: Currently pursuing a degree in Mechanical Engineering, Electrical Engineering, Environmental Science, or a related field. Skills: Experience or coursework in relevant fields (e.g., fluid dynamics, circuit design, thermodynamics, material science). Attributes: A passion for solving real-world problems. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Why Join Us? Impact: Work on technology that addresses one of humanity's most pressing challenges. Hands-On Experience: Tackle real-world projects and gain invaluable industry knowledge. Mentorship: Learn from a team of seasoned engineers and innovators. Growth Opportunities: Contribute to a growing startup and help shape its future. Vital Lyfe is an Equal Opportunity Employer; employment with VItal Lyfe is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $177,000/year to $247,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more. Hybrid Schedule: In-office Tuesdays/Wednesdays Role Overview We're looking for a Lead Data Scientist to guide a high-impact team in solving the most critical and complex problems across our marketplace. You'll partner closely with product, engineering, and executive leadership to set vision and strategy for data science initiatives, ensuring that our models and insights directly drive business growth and efficiency. This role is an excellent fit for a strong individual contributor or emerging team lead who's ready to grow into formal people management. Responsibilities Lead, manage, and grow a team of Data Scientists, providing coaching, career development, and performance feedback. Architect and productionize advanced ML/AI solutions across our marketplace with your team. Improve how we approach real-time auction pricing and LTV-driven bid optimization through scalable, data-driven solutions. Master the MediaAlpha platform and collaborate with engineering to enhance our platform's analytical capabilities and build new data products. Own the end-to-end lifecycle of key initiatives, from ideation to deployment and iteration. Requirements 10+ years of experience in Data Science, Analytics, or a related field, with at least 3 years managing or leading data science teams Master's degree required, preferably in a quantitative discipline (e.g., economics, business, finance, math, engineering, statistics) or equivalent experience Proven experience leading cross-functional projects and collaborating with tech/engineering teams Demonstrated success deploying impactful code (e.g., predictive models, data pipelines, algorithms) to production environments with quantifiable business impact Expertise in applying statistical techniques to real-world business problems (e.g. designing tests/experiments and evaluating results) Proven track record of training and mentoring data scientists Advanced in Python and SQL Exceptional analytical skills and ability to synthesize large and disparate data sets Capacity to think critically and creatively, uncover problems, and propose solutions Excellent written and verbal communication skills Self-starter who takes initiative on all projects and strives to build and improve upon existing processes Preferred Qualifications Experience with search, display, performance, and/or digital marketing Experience with real-time bidding Experience with R Shiny and Shiny Server Experience with Airflow Compensation & Benefits We are excited to offer a competitive base pay range of $133,000 to $247,000 per year for this position based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including: An annual discretionary bonus program and participation in our Restricted Stock Unit program 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner 100% Employer paid long term disability, and life insurance 401(k) retirement plan with matching contributions to help you plan for your future Open Paid Time Off policy with a birthday day off and 11 holidays Professional development reimbursement Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement Diversity, Equity, and Inclusion MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change. Fair Chance MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at ************************ or **************.

At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at *************** Visit our Mission and Culture doc here. Position Overview: We're looking for a talented, curious, driven, and self-starting data scientist to join our team. The ideal candidate is a critical thinker familiar with SaaS products and metrics, has a strong background in statistics and data modeling, can clearly communicate complex concepts to a variety of audiences, and is excited to partner with engineering to implement the data infrastructure and stack for a rapidly growing startup. This is a highly dynamic, fast-paced environment where you'll be trusted with real ownership - from defining our data stack to shaping how insights guide our product roadmap. You'll help lay the foundation of our data culture, working across engineering, product, and business teams to ensure data drives decisions at every level. Key Responsibilities: Data Tooling & Culture Play a critical role in defining and setting up our data and experimentation stack Partner with engineering to ensure our data is clean, scalable, and usable, considering real-world deployment constraints Create and champion best practices to create a data-driven culture Product Analytics & Insights Analyze large, complex datasets to uncover patterns, trends, and insights to inform product and business decisions Help define the product roadmap through analysis of the user journey, user behaviors, and product trends Design, launch, and analyze A/B tests or data-led product features Partner with product teams and leadership to define new metrics and make prioritization decisions Business Intelligence & Visualizations Build and maintain production-quality dashboards so that team members can access product and business metrics, in a self-serve way Ensure BI tools are dependable and up-to-date Translate complex analyses into simple, visual stories that drive alignment and action. Collaboration and Communication Collaborate with cross-functional teams to define and refine model requirements Communicate findings and insights effectively to both technical and non-technical stakeholders Share findings with the rest of the company, helping drive better decision making across marketing, sales, and product teams Preferred Qualifications: Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Business Analytics or related field) 3+ years of relevant work experience in Data Science, Business Intelligence, Product Analytics, or a related function Expert in SQL and proficiency in at least one scripting language (R or Python) Defined, implemented, and operationalized new feature and product-level metrics from scratch Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives Excellent problem-solving skills and ability to work in a collaborative team environment What HeyGen Offers: Competitive salary and benefits package Dynamic and inclusive work environment focused on innovation and creativity Opportunities for professional growth and skill development Collaborative culture that values teamwork and employee input Access to state-of-the-art technologies and tools Salary Range $170,000 - 220,000 annually Please note that the salary information is a general guideline only. HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer. As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us at HeyGen and be part of a team that's reshaping the world of visual storytelling!

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Job Description Data Analyst Department: Program Development Reports To: Director Under the general supervision of Evaluation and Data Supervisor, collects, evaluates, manages, and prepares data to support activities of agency. Prepares statistical and narrative reports, designs & conducts surveys, conducts focus groups, and completion of external surveys. HOURS 40 per week, Monday-Friday. Benefits Package Medical Insurance Dental Insurance Vision Care Plan Life Insurance Paid Holidays Flexible Spending Account (FSA) Paid Vacation Time Sick Time 401(k) Retirement Plan Competitive wages Stability and career advancement Continuing Education Opportunities CATEGORIES OF DUTIES Designs data collection instruments, including forms and fields in currently utilized data gathering software. Utilizes Excel and other statistical software to analyze and interpret data. Prepares Excel and other statistical software data files for distribution and sharing with other departments and teams. Develops reports for agency's performance improvement and management decision-making. Responds to data requests for grant/proposal preparation and other needs of the agency. Performs other related duties as assigned by Administrator or Director of Program Development. EDUCATION/EXPERIENCE Bachelor's degree and/or equivalent work experience in quantitative and qualitative data analysis using Excel, SPSS, and/or other software used for data analysis. SETTING Tarzana Treatment Centers, Inc. is a non-profit corporation, which provides behavioral healthcare services, including chemical dependency. EQUAL OPPORTUNITY EMPLOYER Tarzana Treatment Centers, Inc. does not discriminate as to age, race, nationality, religion, gender, sexual orientation and disability in its hiring practices. ADA REQUIREMENT Tarzana Treatment Centers, Inc. supports the Americans with Disabilities Act. Discrimination is prohibited in all aspects of employment against disabled persons, who, with reasonable accommodations, can perform the essential functions of a job. Typically shifts start between 7:00am - 8:00am and end between 3:30pm - 4pm.

As part of the Wilshire family, you can rest assured that every day you are contributing to an organization that is helping investors improve their financial outcomes. For more than 50 years, Wilshire has been dedicated to providing customized portfolio solutions grounded in research and powered by next generation technologies. Wilshire advises on over $1 trillion in assets for some of the world's largest and most sophisticated institutional investors and is headquartered in the United States with offices worldwide. Job Description Wilshire seeks a Data Analyst to be responsible for ensuring the accuracy, integrity, and efficiency of financial data across the Finance systems. This role involves managing data flows, performing reconciliations, supporting system enhancements, and providing actionable insights. The Data Analyst will also be the administrator for critical finance systems including NetSuite, a proprietary data mart, a vendor and contract management system and Concur expense and travel. Key Responsibilities Data Management & Integrity Maintain and validate financial data in finance systems (e.g., Power BI/Datamart, Netsuite). Perform regular data quality checks and reconciliations between source systems and reporting tools. Ensure compliance with internal controls and audit requirements. System Maintenance & Support Monitor data integrations between finance systems and upstream/downstream applications. Troubleshoot data issues and coordinate with IT/vendors/Finance for resolution. Support system upgrades, patches, and configuration changes. Act as the administrator for finance systems including user access, system configurations, optimizing use of the systems, and continual enhancement of automation / AI tools. Reporting & Analysis Develop and maintain dashboards and reports for Finance and other stakeholders firmwide. Analyze trends, variances, and anomalies in financial data. Provide insights to improve forecasting, budgeting, and revenue analysis. Process Improvement Identify opportunities to automate data processes and improve efficiency. Document workflows, data dictionaries, and system procedures. Stakeholder Collaboration Work closely with Finance and IT teams to ensure accurate data flow. Assist in user training and support for finance system functionalities. Qualifications Bachelor's degree in Finance, Accounting, Data Analytics, or related field. Strong proficiency in SQL, Excel, and BI tools (Power BI, Tableau). Experience with finance systems (ERP, EPM tools like Netsuite, Concur). Understanding of financial statements and accounting principles. Excellent analytical and problem-solving skills. Ability to manage multiple priorities and meet deadlines. Additional Information This position will work on a hybrid model out of our Santa Monica, New York, Denver or London offices We offer a comprehensive benefits package including a collaborative work environment, generous PTO, 401(k) match, affordable & comprehensive medical/dental/vision insurance, CFA and other professional membership reimbursement, and more. The pay range for this position is $85,000 - $140,000. However, base pay will be determined on an individual basis considering various factors, including location, qualifications, skills, and experience. The total compensation package includes eligibility for an annual discretionary bonus and a full range of health and financial benefit offerings, which will be provided in conjunction with an offer of employment. Visit **************** for additional company information. Wilshire is an SEC registered investment adviser and required to track certain political contributions under Rule 206(4)-5. As such, you may be required to disclose your prior political contributions. We are an equal opportunity employer, which means we afford equal employment opportunity to all individuals regardless of race/ethnicity, creed, color, religion, sex (including gender and gender identity), national origin, ancestry, age, marital status, veteran status, citizenship status, disability, medical condition (as defined by California Government Code section 12926), or sexual orientation. Our employees, as well as applicants and others with whom we do business, will not be subjected to sexual, racial, religious, ethnic, or any other form of unlawful harassment. In addition, Wilshire adheres to the equal employment opportunity requirements of all states and localities in which it does business. We are completely committed to these principles not only because of the various laws which address these subjects, but because it is the right thing to do for our employees and clients to thrive. If you have a disability, and require reasonable accommodations in the application process, contact Human Resources at [email protected] or ************.

**NATIONAL LEADERS IN PEDIATRIC CARE** Ranked among the top 10 pediatric hospitals in the nation, Children's Hospital Los Angeles (CHLA) provides the best care for kids in California. Here world-class experts in medicine, education and research work together to deliver family-centered care half a million times each year. From primary to complex critical care, more than 350 programs and services are offered, each one specially designed for children. The CHLA of the future is brighter than can be imagined. Investments in technology, research and innovation will create care that is personal, convenient and empowering. Our scientists will work with clinical experts to take laboratory discoveries and create treatments that are a perfect match for every patient. And together, CHLA team members will turn health care into health transformation. Join a hospital where the work you do will matter-to you, to your colleagues, and above all, to our patients and families. The work will be challenging, but always rewarding. **It's Work That Matters.** **Overview** **Purpose Statement/Position Summary:** The Data Science Analyst II, under the direction and supervision of the Director of Analytics, will play a hands-on role in our Office of Enterprise Data (OED). The Data Science Analyst II collaborates with stakeholders across the organization to develop sophisticated analytics to provide information, insights and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. The Data Science Analyst II exhibits a strong and advanced understanding of the healthcare domain, along with expertise in technical data manipulation and analytical development, whether in BI or Machine Learning. These skills effectively support CHLA's mission to create hope and build healthier futures. **Minimum Qualifications/Work Experience:** - Required: 5 years of experience in healthcare, including familiarity with hospital systems, diverse healthcare data sets (claims, EHR, clinical data, structured and unstructured data) and analytics, data management, and data visualization. - Able to demonstrate advanced analytical, problem-solving and decision-making skills, beyond a DSA I. - Able to demonstrate advanced data prep skills, beyond a DSA I, using scripting languages like Oracle PL/SQL, MS SQL, R, Python, etc. - Able to demonstrate advanced BI development skills, beyond a DSA I, using Tableau and/or PowerBI. - Understanding of and familiarity with Data Analytics platforms like Azure data lake, Azure Synapse, Azure Fabric, Oracle DB, SQL Server, etc. - Demonstrated ability to be self-paced, self-motivated and flexible in a rapidly evolving environment - Able to demonstrate strong verbal and written communication and interpersonal skills and able to effectively engage and influence diverse stakeholders with varying skill sets, beyond a DSA I - Organized and detail-oriented, with proven ability to prioritize workload, meet deadlines, and manage more than one project at a time. - Proactive learner with initiative to learn new skills and apply this knowledge on the job - Executes all job responsibilities and assignments promptly, reliably, honestly and ethically. - Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint), including creating charts and graphs. **Education/Licensure/Certification:** - Required: Bachelor's degree from an accredited university in a relevant field (Public Health, Statistics, Math, Computer Science, Information Systems) or HS Diploma/GED plus 8 years of direct experience. - Preferred: Master's degree preferred from relevant field (Business Analytics, Data Science, Statistics, MBA, Computer Science, MPH, etc.). **Pay Scale Information** $84,302.00-$144,518.00 CHLA values the contribution each Team Member brings to our organization. Final determination of a successful candidate's starting pay will vary based on a number of factors, including, but not limited to education and experience within the job or the industry. The pay scale listed for this position is generally for candidates that meet the specified qualifications and requirements listed on this specific job description. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs. CHLA looks forward to introducing you to our world-class organization where we create hope and build healthier futures. Children's Hospital Los Angeles (CHLA) is a leader in pediatric and adolescent health both here and across the globe. As a premier Magnet teaching hospital, you'll find an environment that's alive with learning, rooted in care and compassion, and home to thought leadership and unwavering support. CHLA is dedicated to creating hope and building healthier futures - for our patients, as well as for you and your career! CHLA has been affiliated with the Keck School of Medicine of the University of Southern California since 1932. At Children's Hospital Los Angeles, our work matters. And so do each and every one of our valued team members. CHLA is an Equal Employment Opportunity employer. We consider qualified applicants for all positions without regard to race, color, religion, creed, national origin, sex, gender identity, age, physical or mental disability, sexual orientation, marital status, veteran or military status, genetic information or any other legally protected basis under federal, state or local laws, regulations or ordinances. We will also consider for employment qualified applicants with criminal history, in a manner consistent with the requirements of state and local laws, including the LA City Fair Chance Ordinance and SF Fair Chance Ordinance. Qualified Applicants with disabilities are entitled to reasonable accommodation under the California Fair Employment and Housing Act and the Americans with Disabilities Act. Please contact CHLA Human Resources if you need assistance completing the application process. Our various experiences, perspectives and backgrounds allow us to better serve our patients and create a strong community at CHLA. Analytics as a Service

We are seeking a highly motivated and quantitatively adept Data Analyst to join our Sensor Tower team. This pivotal, highly visible role is designed for an emerging professional with 3-5 years of experience and who possesses a robust interest in public markets, business dynamics, and sophisticated financial analysis. The core function of this role is to act as the primary quantitative auditor of our proprietary SaaS platform's business estimates. You will proactively and autonomously investigate discrepancies between our internal forecasts and publicly reported data (e.g., active users, revenue, growth metrics from public company filings). This is not a standard reporting role; it requires a strong intellectual curiosity, an ability to back into complex, non-obvious metrics using publicly available documentation (10-Ks, 10-Qs, Investor Presentations), and the ability to articulate findings that directly impact our core product and client messaging. The ideal candidate will thrive in an ambiguous environment and possess the self-starter mentality often developed in roles like sell-side research, entry-level strategy consulting, or similar quantitative roles. Base salary: $100,000 - $120,000 What you will do: * Quantitative Audit and Discrepancy Analysis: Proactively conduct sophisticated, high-fidelity comparisons between proprietary company estimates and publicly available information to identify material variances. This includes rigorously researching differences in underlying definitions, methodological frameworks, and reporting methodologies. * Reconciling and Reverse-Engineering Estimates: Employ advanced quantitative techniques to infer or back-solve for proprietary financial and operational metrics from fragmented publicly disclosed data. This demands a nuanced understanding of regulatory filings (e.g., extracting non-GAAP to GAAP reconciliations or segment reporting details). * Documentation and Knowledge Repository Contribution: Create clear and concise analytical documentation, including a full trace of the quantitative proof. Maintain and contribute this analysis, complete with reproducible data trails, to the team's shared GitHub repository. * Cross-Functional Impact Assessment: Collaborate closely with the Data Science and Engineering teams to model the collateral impact of a fundamental estimate change across the firm's broader suite of financial models and forecasts. * Stakeholder Communication and Enablement: Support the Data Science, Sales, and Client Success teams by developing clear, compelling, and accurate messaging that articulates the rationale behind our estimate methodology, the nature of identified discrepancies, and the impact of changes. Required Experience and Skills * Experience: 3 to 5 years of professional experience in a highly analytical, quantitatively driven role, with a strong preference for backgrounds in Sell-Side Research, Equity Analysis, Management Consulting, or Similar quantitative roles. * Academic Rigor: Bachelor's degree in a highly quantitative discipline such as Mathematics, Statistics, Economics, Finance, or similar. * Advanced Quantitative Acumen: Demonstrated mastery of quantitative techniques, statistical analysis, and complex data manipulation. Must possess a proven ability to calculate inferring non-explicit metrics from public financial statements and operational data. * Business and Market Intuition: A demonstrable, deep-seated interest in public equity markets, industry dynamics, and an ability to navigate and comprehend the nuances of regulatory filings (10-K, 10-Q, 8-K). * Technical Proficiency: Strong command of SQL for data extraction and manipulation, and working proficiency in Python or R for statistical analysis. Familiarity with version control systems (i.e., Git/GitHub) is required. * Intellectual Autonomy/ Self-Starter: Exceptional self-motivation and the capacity to operate with a high degree of independence. Must be proactive in identifying analytical opportunities rather than simply executing directed tasks. * Precision and Attention to Detail: An unwavering commitment to data accuracy and analytical precision, capable of producing work that withstands rigorous internal and external scrutiny. * Executive Communication: Ability to distill complex quantitative findings into clear, concise, and actionable insights, both written and verbal, for both technical and non-technical audiences. 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.

As part of the Wilshire family, you can rest assured that every day you are contributing to an organization that is helping investors improve their financial outcomes. For more than 50 years, Wilshire has been dedicated to providing customized portfolio solutions grounded in research and powered by next generation technologies. Wilshire advises on over $1 trillion in assets for some of the world's largest and most sophisticated institutional investors and is headquartered in the United States with offices worldwide. Job Description Wilshire seeks a Data Analyst to be responsible for ensuring the accuracy, integrity, and efficiency of financial data across the Finance systems. This role involves managing data flows, performing reconciliations, supporting system enhancements, and providing actionable insights. The Data Analyst will also be the administrator for critical finance systems including NetSuite, a proprietary data mart, a vendor and contract management system and Concur expense and travel. Key Responsibilities * Data Management & Integrity * Maintain and validate financial data in finance systems (e.g., Power BI/Datamart, Netsuite). * Perform regular data quality checks and reconciliations between source systems and reporting tools. * Ensure compliance with internal controls and audit requirements. * System Maintenance & Support * Monitor data integrations between finance systems and upstream/downstream applications. * Troubleshoot data issues and coordinate with IT/vendors/Finance for resolution. * Support system upgrades, patches, and configuration changes. * Act as the administrator for finance systems including user access, system configurations, optimizing use of the systems, and continual enhancement of automation / AI tools. * Reporting & Analysis * Develop and maintain dashboards and reports for Finance and other stakeholders firmwide. * Analyze trends, variances, and anomalies in financial data. * Provide insights to improve forecasting, budgeting, and revenue analysis. * Process Improvement * Identify opportunities to automate data processes and improve efficiency. * Document workflows, data dictionaries, and system procedures. * Stakeholder Collaboration * Work closely with Finance and IT teams to ensure accurate data flow. * Assist in user training and support for finance system functionalities. Qualifications * Bachelor's degree in Finance, Accounting, Data Analytics, or related field. * Strong proficiency in SQL, Excel, and BI tools (Power BI, Tableau). * Experience with finance systems (ERP, EPM tools like Netsuite, Concur). * Understanding of financial statements and accounting principles. * Excellent analytical and problem-solving skills. * Ability to manage multiple priorities and meet deadlines. Additional Information * This position will work on a hybrid model out of our Santa Monica, New York, Denver or London offices * We offer a comprehensive benefits package including a collaborative work environment, generous PTO, 401(k) match, affordable & comprehensive medical/dental/vision insurance, CFA and other professional membership reimbursement, and more. The pay range for this position is $85,000 - $140,000. However, base pay will be determined on an individual basis considering various factors, including location, qualifications, skills, and experience. The total compensation package includes eligibility for an annual discretionary bonus and a full range of health and financial benefit offerings, which will be provided in conjunction with an offer of employment. Visit **************** for additional company information. Wilshire is an SEC registered investment adviser and required to track certain political contributions under Rule 206(4)-5. As such, you may be required to disclose your prior political contributions. We are an equal opportunity employer, which means we afford equal employment opportunity to all individuals regardless of race/ethnicity, creed, color, religion, sex (including gender and gender identity), national origin, ancestry, age, marital status, veteran status, citizenship status, disability, medical condition (as defined by California Government Code section 12926), or sexual orientation. Our employees, as well as applicants and others with whom we do business, will not be subjected to sexual, racial, religious, ethnic, or any other form of unlawful harassment. In addition, Wilshire adheres to the equal employment opportunity requirements of all states and localities in which it does business. We are completely committed to these principles not only because of the various laws which address these subjects, but because it is the right thing to do for our employees and clients to thrive. If you have a disability, and require reasonable accommodations in the application process, contact Human Resources at ApplicantAccessibility@wilshire.com or ************.

DirectHire Healthcare / Nonprofit Environment Direct Hire | Full-Time Schedule: Monday-Friday | 9:00 a.m. - 5:30 p.m. Legacy Career Solutions is partnering with a respected healthcare-focused organization to identify an Audit & Compliance Data Coordinator. This role supports compliance, audit readiness, and data integrity across multiple sites within a regulated healthcare and grant-funded environment. This is a behind-the-scenes, detail-driven role for someone who enjoys making sure everything is buttoned up, compliant, and audit-ready before anyone ever asks for it. What You Will Be Doing Grant & Regulatory Compliance Monitor and support compliance with grant agreements, sponsor guidelines, and funding regulations. Track deadlines, milestones, and reporting requirements to ensure timely and accurate submissions. Support compliance with federal, state, and private healthcare-related funding requirements. Audit & Risk Management Conduct internal audits across 2-3 local office locations. Identify compliance risks and support corrective action planning. Assist with internal reviews, external audits, sponsor monitoring, and site visits. Data & Documentation Review large datasets and documentation for accuracy, trends, and compliance indicators. Maintain organized compliance records, audit files, and supporting documentation. Assist with data analysis to identify risk areas and improvement opportunities. Collaboration & Communication Work closely with Quality Assurance, clinical, and administrative teams. Communicate compliance expectations clearly to non-technical stakeholders. Participate in regular QA meetings and assist with documentation and complaint review processes as needed. Required Qualifications Bachelor's degree in Public Health, Healthcare Administration, Business, or a related field. 2-4 years of experience in compliance, auditing, grant administration, or nonprofit oversight. Working knowledge of grant compliance and regulatory requirements. Strong analytical, documentation, and organizational skills. Ability to work independently, manage deadlines, and prioritize workload. Preferred Qualifications Experience with federal healthcare-related grants. Familiarity with HIPAA, patient privacy, and data protection concepts. Background in healthcare, medical, or regulated nonprofit environments. Grant Management Certification (CGMS or similar). Exposure to compliance practices in for-profit healthcare settings is a strong plus. Technical Skills Required Microsoft 365 (Excel proficiency is important) Preferred Power BI Microsoft Access Python (nice to have, not required) Who This Role Is Perfect For Someone who enjoys compliance, structure, and accuracy. A professional who spots issues early and fixes them quietly. Independent, organized, and comfortable without micromanagement. Calm under pressure, ethical, and professional in all interactions. Strategic thinker who can recommend process improvements, not just point out problems. Why This Opportunity Direct-hire stability in a mission-driven healthcare environment. High visibility to Quality Assurance leadership. Work that matters without constant fire drills. A role where details, judgment, and integrity are valued.

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscapped, Saatva, and Liquid I.V ., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV. That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards , as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine . Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era. We're looking for a Research Data Scientist to join the team! In this role, you will work in a fast-paced environment, with diverse data sets and technologies to produce production quality, scalable, automated solutions to a diverse set of challenging data problems. You will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology and client-facing teams to optimize our business, with the ultimate goal of helping Tatari redefine marketing analytics for tv and streaming video media buying. Description: Collaborating closely with our engineering and technology teams, the Data Scientist will build predictive models, measurement algorithms, and deep analyses to provide insights for optimizing our business. Specifically, the job duties will include the following: Applying fluent understanding of state-of-the-art machine learning techniques to build predictive models and recommender systems; Applying deep understanding of statistics and probability to devise improvements to existing algorithms; Contributing to developing and maintaining internal analysis software libraries; Developing new intellectual property; Analyzing large amounts of data to identify relationships and trends, translating them into actionable insights for our product team and clients; Reporting findings, both orally and in writing Qualifications: Masters' degree in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) Advanced experience in data manipulation tools (e.g., Python, pandas, pyspark, SQL) Deep knowledge of statistics, probability, and machine learning techniques Experience building/testing/validating ML models using state-of-the-art tech Strong background designing and developing software to implement advanced analytic algorithms A quick learner, with the ability to work independently and adaptably in a fast-paced environment Strengths in creativity & open-ended problem-solving-- able to identify what's important (and not important) to focus on in order to construct effective approaches to challenging problems Strong strategic thinking capabilities and project management skills Strong communication skills, both written and oral Nice to have: PhD in a technical field Industry experience with development and deployment of predictive models or recommendation systems Benefits: Competitive salary ($130,000 - 160,000/annually) Equity compensation Health insurance coverage for you and your dependents 401K, FSA, and commuter benefits $150 monthly spending account $1,000 annual continued education benefit $500 WFH reimbursement Unlimited PTO and sick days Monthly Company Wellness Day Off Snacks, drinks, and catered lunches at the office Team building events Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated. #LI-DNI

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

About the role We are looking for a Data Scientist to support analytics and modeling efforts across the business. This role is ideal for someone early in their data science career who is eager to learn, build strong fundamentals, and apply data to real-world business problems in a fast-growing insurtech environment. You will work closely with engineers, department managers, to analyze data, build models, and help translate insights into actionable recommendations. What you'll do Assist in building, testing, and maintaining statistical and machine learning models under guidance from senior team members Analyze structured datasets to identify trends, anomalies, and opportunities across customer and insurance data Write clean, well-documented SQL queries and Python (or R) code for analysis and reporting Support A/B tests, experiments, and performance analyses Create dashboards, reports, and visualizations to communicate findings to stakeholders Help ensure data accuracy and consistency by performing data validation and quality checks Document assumptions, methodologies, and results for transparency and knowledge sharing • • Collaborate with cross-functional teams to understand business needs and translate them into data questions Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science 0-2 years of professional experience in data science, analytics, or a related role Working knowledge of Python or R for data analysis Excellent SQL skills Understanding of fundamental statistics and introductory machine learning concepts Strong curiosity, problem-solving skills, and willingness to learn Ability to clearly communicate insights with guidance and feedback Preferred Qualifications Experience in insurance, fintech, SaaS Familiarity with common data science libraries Exposure to data visualization tools such as Tableau, Looker, or Power BI Experience working with cloud data platforms or modern data stacks Projects involving experimentation or predictive modeling