Data scientist jobs in Norwalk, CA - 400 jobs

IMDb is the world's most popular and authoritative source for information on movies, TV shows, and celebrities. Products and services to help fans discover and decide what to watch and where to watch it include: the IMDb website for desktop and mobile devices; apps for iOS and Android; and, X-Ray on Prime Video. For entertainment industry professionals, IMDb provides IMDbPro and Box Office Mojo. IMDb licenses information to third-party businesses worldwide. As an Amazon company, IMDb employees enjoy the benefits and resources of a tech giant, while maintaining the autonomy and impact of a small, nimble team. Key job responsibilities Ready to revolutionize advertising in the entertainment industry? We're seeking a talented Data Scientist, to lead game-changing projects that will transform how fans interact with ads. Your work will drive IMDb's success, while improving the experience for our diverse set of global customers - from passionate film fans to entertainment industry insiders. In this role, you'll drive innovative projects across IMDb, collaborating with diverse teams to shape the future of entertainment technology. We're seeking candidates who blend advanced machine learning expertise with a genuine passion for entertainment and data-driven innovation. You'll develop sophisticated ML models and leverage generative AI technologies to revolutionize digital advertising, enhance personalization, and create next-generation fraud detection systems. Your work will transform customer experiences through scientific methods, deep learning architectures, and state-of-the-art AI models. Success in this position demands exceptional scientific leadership, strong organizational skills, software engineering excellence, product vision, and sharp business acumen, along with expertise in implementing responsible AI solutions. BASIC QUALIFICATIONS - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of data scientist experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Bachelor's degree - Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience implementing algorithms using both toolkits and self-developed code Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted: November 5, 2024 (Updated about 1 hour ago) Posted: June 3, 2025 (Updated about 1 hour ago) Posted: May 9, 2025 (Updated about 11 hours ago) Posted: May 5, 2025 (Updated about 14 hours ago) Posted: May 5, 2025 (Updated about 14 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. About the Role Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. Here's what you'll do day‑to‑day: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities. Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here's what we're looking for: 10+ years of experience in Data Science at a product‑focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Compensation Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise. Work Location Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations. EEO Statement Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. #J-18808-Ljbffr

Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. What You'll Do Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr

A leading entertainment company is seeking a Data Scientist to design, build, and deploy machine learning solutions that address key business challenges in Santa Monica, CA. This role involves optimizing payment processes and enhancing customer experience by delivering impactful models. The ideal candidate has a Bachelor's degree in Data Science or related field and 3+ years of experience in developing machine learning models. Competitive salary range is $114,900 to $154,100 per year. #J-18808-Ljbffr

EDO is the TV outcomes company - a leading platform measuring Convergent TV advertising. Combining real-time engagement signals with world-class decision science, EDO maximizes creative and media performance for modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. EDO's investment-grade data align advertising investments to business results - with detailed competitive, category, historical, and predictive intelligence. EDO is headquartered in Los Angeles and New York City. We also have an office space in San Francisco. We recognize the benefits of hybrid working and want to create the best balance to ensure we can continue working together effectively. For this role, we have a hybrid work policy of 2 days a week in any EDO office. The Role Data Scientists at EDO drive EDO's modeling and analytical methodology to measure the effect that television and streaming ads have on consumer behaviors, primarily consumers' online search and website visits. What You Will Do Enhance EDO's AdEngage platform that measures the effectiveness of linear and streaming TV ads, and enable it to process new types of data and serve new client needs. Test out new methods for modeling ad effectiveness on trillion-event data sets spanning millions of households for several years. Develop reusable tools and building blocks for connecting data sets. Build, diagnose, and tune models, then automate the modeling and diagnostics. Work on a small team and take ownership of high impact projects. What We Are Looking For 3+ years professional experience doing hands-on analysis and writing clean, reusable code in Python. Interpersonal and communication skills to work effectively on a distributed team. Experience building and tuning XGBoost (or similar GBM) models, and with cross-validation techniques, and familiarity with a handful of other modeling tools. Experience with git and exposure to unit testing concepts. Understanding of biased data and adjustment methods including weighting and resampling. Proficiency with analytic queries in SQL and relational databases (we primarily use Snowflake), with experience interfacing directly with databases from Python (we leverage SQLAlchemy Core heavily). Building models of sales lift, running controlled experiments, modeling marketing effectiveness. Familiarity with panel datasets, especially ones with missing data and attrition. Development and test pipelines, continuous integration. Development of feature engineering pipelines and DBT. Implementing or auditing policy compliance in data pipelines and workflows. EDO offers engineering teams a full suite of GenAI tools to assist in developing their work, and resources to best enable use of these tools, as desired. EDO offers a competitive compensation package. Components of compensation include: Mid-stage equity and competitive salary Flexible Time Off Medical, dental and vision coverage, deeply discounted by EDO 401(k) plan, FSA, HSA When in an office, employee meals, snacks, and more fully paid for The base salary range for this position is $120,000 to $150,000, PLUS equity in a mid-stage company. Compensation will be determined based on the skills, qualifications, experience, location and the level of education attained of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. EDO is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

A leading entertainment company is seeking a Data Scientist II to work on machine learning models, data analysis, and visualization. The ideal candidate will have a Bachelor's degree in a related field, with at least 3 years of experience in data science. The role requires deep knowledge of statistical methods, strong communication skills, and the ability to collaborate effectively with business teams. Competitive salary and benefits are offered, with a focus on enhancing user experiences across popular streaming platforms. #J-18808-Ljbffr

Meet REVOLVE: REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit **************** At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It's our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. In return, we promise to keep REVOLVE a company where inspired people will always thrive. To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve. Are you ready to set the standard for Premium apparel? Main purpose of the Senior Data Science Analyst role: Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects Conduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations. Work closely with the DBA to improve BI's infrastructure, architect the reporting system, and invest in time for technical proof of concept. Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis Work alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction. Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies: Outstanding analytical skills, with strong academic background in statistics, math, science or technology. High comfort level with programming, ability to learn and adopt new technology with short turn-around time. Knowledge of quantitative methods in statistics and machine learning Intense intellectual curiosity - strong desire to always be learning Proven business acumen and results oriented. Ability to demonstrate logical thinking and problem solving skills Strong attention to detail Minimum Qualifications: Master Degree is required 3+ years of DS and ML experience in a strong analytical environment. Proficient in Python, NumPy and other packages Familiar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations. Experience with AB Testing and pseudo-A/B test setup and evaluations Advanced SQL experience, query optimization, data extract Ability to build, validate, and productionize models Preferred Qualifications: Strong business acumen Experience in deploying end to end Machine Learning models 5+ years of DS and ML experience preferred Advanced SQL and Python, with query and coding optimization experience Experience with E-commerce marketing and product analytics is a plus A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it's what keeps us on our toes and excited to come to work every day. A reasonable estimate of the current base salary range is $120,000 to $150,000 per year.

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and driveenterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role Join our growing Machine Learning, AI, and Quantitative Research (MAQR) group as a Data Scientist, where you'll be at the heart of our data and analytics transformation. In this role, you'll collaborate closely with cross-functional teams to deliver cutting-edge AI/ML solutions that drive significant business impact, including cost optimization and revenue growth. You'll work in an innovative environment with a startup mindset, building technology solutions that create competitive advantages across our diverse portfolio. Key Responsibilities Model Development & Implementation Build machine learning models through all phases of development, from problem formulation and design through training, validation, and implementation in a production environment Develop advanced AI solutions including predictive modeling, time series forecasting, optimization, and causal methods Leverage a broad stack of technologies to analyze large volumes of numeric and textual data Research, develop, and implement advanced machine learning and AI techniques for financial applications Strategic Collaboration Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver solutions that align with business objectives Collaborate with business leaders and technical experts to ensure AI/ML initiatives are integrated effectively across business units Translate complex technical concepts into actionable business strategies and tangible outcomes Innovation & Excellence Drive the development of descriptive, predictive, and prescriptive modeling use cases across diverse business challenges across the financial sector including asset management and banking Stay current on state-of-the-art methods and emerging technologies, ensuring our organization remains at the forefront of AI/ML innovation Contribute to AI governance initiatives and champion ethical, responsible use of AI across the organization Qualifications Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6+ years of experience in data analytics, OR PhD in a quantitative field plus 3+ years of experience in data science At least 6+ years of experience with Python or similar programming languages for large-scale data analysis At least 4+ years of experience with machine learning model development and deployment Experience with statistical analysis, data science, and model validation techniques Proficiency in interpreting model performance metrics and statistical outputs Strong analytical and problem-solving skills with ability to work with complex, multi-faceted challenges Excellent communication and interpersonal skills to translate technical complexity into business value Ability to thrive in bringing definition to big, undefined problems Customer-first mindset with passion for delivering impactful solutions Preferred qualifications Experience with cloud technologies (AWS, Azure, GCP) and cloud-native architectures Knowledge of quantitative finance, econometrics, or portfolio optimization Experience with forecasting and causal inference using modern machine learning methods Experience with microservices architecture and high-performance computing systems Experience working with large-scale datasets (billions of records) and real-time data processing Demonstrated ability to write production-level software Experience with Agile development methodologies and cross-functional team collaboration Position Location This position is located in Santa Monica, CA. Compensation The base pay will for this position is $160,000-$190,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

Project description Luxoft is looking for a Senior Data Engineer for development of new application to be used by investors and investment committees to review their portfolio data, tailored to specific user groups. Responsibilities Work with complex data structures and provide innovative ways to a solution for complex data delivery requirements Evaluate new and alternative data sources and new integration techniques Contribute to data models and designs for the data warehouse Establish standards for documentation and ensure your team adheres to those standards Influence and develop a thorough understanding of standards and best practices used by your team Skills Must have Seasoned data engineer who has hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc. Extensive Python API design experience, preferably Fast API Strong SQL knowledge Nice to have Pyspark Databricks ETL design

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Star Ratings strategy, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience Other: Excellent communication, analytical and collaborative problem-solving skills Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. Solid data structures & algorithms background. Strong programming skills in one of the following: Python, Java, R, Scala or C++ Demonstrated proficiency in SQL and relational databases. Experience with data visualization and presentation, turning complex analysis into insight. Experience in setting experimental analytics frameworks or strategies for complex scenarios. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: Healthcare experience Experience in Big Data processing technologies: Databricks Experience in Azure, AWS or other cloud ecosystems. Experience in NoSQL databases. Published work in academic conferences or industry circles. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of CMS Risk Adjustment Data Validation (RADV) audits Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: * Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. * Build and deploy predictive models and advanced analytics that guide business and creative strategies. * Manage cleansing and feature extraction of large unstructured data and develop insights on top of it * Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging * Partner with engineers to productionalize machine learning models and monitor performance. * Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences. * Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions. * Research and test emerging machine learning techniques to keep SPE at the cutting edge. * Champion data-driven decision making within the organization by presenting findings to senior leaders. * Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: * Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus. * 6+ years of applied experience in data science, analytics, or machine learning. * Proficiency in Python and SQL. * Expertise with statistical modeling and building predictive models. * In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability * Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow). * Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.). * Excellent communication skills - ability to turn complex data into actionable recommendations. * Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: * Experience in the media & entertainment industry. * Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny). * Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: * Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content. * Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. * Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. * Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Pay rate range: $90 - $95/hr on W2 all inc. Contract Duration: 11-months Possibility For Extension / Conversion? Possible What We Do/Project The Senior Data Scientist will play a critical role in shaping the Studio Economics strategy by leveraging advanced analytics, predictive modeling, and data-driven insights to optimize content valuation, financial planning, and operational efficiency. This position partners with various stakeholders to deliver scalable solutions that inform greenlight decisions, slate planning, and profitability modeling across global studios. A Senior Data Scientist job description involves leading complex analytics projects, developing advanced AI/ML models (like generative AI), mentoring junior staff, and translating technical insights into strategic business actions for stakeholders, Job Responsibilities / Typical Day in the Role •Develops and maintains the data science vision & roadmap for our studio business units, primarily Theatrical and Content Sales. •Lead complex analytics project and develop advanced AI/ML models •Lead and grow a team of Data Scientists, establishing best practices in experimentation, causal inference, and MLOps (Machine Learning Operations). •Translate technical insights into strategic business actions for stakeholders •Drive data-driven business decision-making for revenue optimization. •Drive experimentation at scale (A/B, multivariate, adaptive methods like multi armed bandits) and codify guardrails for metrics, lift, and governance across product surfaces. •Build production grade models (predictive, NLP, CV, generative) and pipelines for recommendations, classification, content valuation, and forecasting;enforce model monitoring and responsible AI. •Develop predictive models for Sales Planning and forecasting •Partner with Finance & Content Sales to operationalize models into decision workflows;deliver dashboards and executive-ready narratives. •Design and scale greenlight frameworks: integrate sales demand signals, competitive intelligence, and financial risk metrics. •Operationalize data: define high quality feature stores, curate canonical datasets (viewing, engagement, metadata, rights), and ensure privacy, lineage, and compliance. •Ensure governance and compliance: data lineage, privacy, and responsible AI in financial modeling. •Communicate impact to executives with clear narratives, dashboards, and decision memos;translate complex analyses for non technical audiences. Must Have Skills / Requirements 1) Experience designing, implementing, and validating sophisticated ML algorithms and models. a.10+ years of experience. 2) Ability to translate complex technical requirements into clear non-technical updates for executives. a.8+ years of experience. 3) Proven experience with analyzing complex datasets to uncover trends and generate recommendations -Strategic Insights a.10+ years of experience. Nice to Have Skills / Preferred Requirements 1) Background in content valuation, ad decisioning/forecasting, or growth analytics for media products. 2) Experience with adaptive experimentation (bandits), generative AI, multimodal models, or semantic search in media workflows. 3) Familiarity with media supply chain (metadata, rights, distribution) and privacy/identity (audience modeling, identity graphs). Soft Skills: 1) Expertise in financial modeling, forecasting, and optimization for content economics. 2) Proven ability to align stakeholders across Product, Engineering, Marketing, Content, Licensing and Sales Planning; 3) Exceptional communication skills for executive stakeholders. Technology Requirements: 1) Strong skills in Python/R, SQL, and advanced ML (recommendation systems, time-series, Bayesian methods, simulation). 2) Experience building MLOps (deployment, monitoring, governance) and working with cloud data stacks (BigQuery/Snowflake, AWS/GCP). 3) Experience with AWS cloud and Analytics (BI) tools (Tableau, Power BI). Education / Certifications 1) None required. Interview Process / Next Steps 1)1st round with HM (30-min screening) 2)2nd round with Peer Data Scientist Additional Notes •Sourcing in CA -Burbank •Hybrid role -3 days on-site. Employee Benefits: At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits: Four options of medical Insurance Dental and Vision Insurance 401k Contributions Critical Illness Insurance Voluntary Permanent Life Insurance Accident Insurance Other Employee Perks About LanceSoft LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch. EEO Employer LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time. Want to read more about LanceSoft? Click here to visit our website - *****************

X Consultants, Inc. is seeking Senior Data Analyst Overview of Key Duties and Responsibilities: Work with a team to develop creative environmental project strategies and prepare work scopes of work. Participate in the preparation and implementation of work plans for site assessments and monitoring programs. Prepare technical reports with a focus on regulatory compliance, accuracy, clarity, succinctness, and document QA/QC Provide technical and general field support/oversight on various environmental site assessments including but not limited to soil vapor, soil, sediment, and groundwater Perform Groundwater monitoring purging and sampling utilizing stand volume purge and low flow methodologies Observe drilling and monitoring well installation and classifying soil and bedrock samples Peer review environmental site assessment reports prepared by other consultants Evaluate and interpret technical analytical data relative to project-specific clean-up goals or applicable screening levels Participate in communication with clients and regulatory oversight agencies Provide training and mentorship to junior staff This Job Might Be For You If You Have The Following: Minimum B.A./B.S. in Environmental Engineering, Geology, Environmental Science, or another related field Professional Engineer or Professional Geologist license (preferred) 3 to 5 years of related experience Passion for the environment and science A willingness to assist in training junior staff in field related procedures Highly motivated with excellent technical writing and documentation skills Ability to work independently and as part of a team Familiar with Phase I ESA ASTM/AAI requirements Currently have or willing to obtain a OSHA 40 Hour HAZWOPER certification Experience installing soil vapor and groundwater monitoring wells Experience performing Groundwater purging and sampling with the use of various groundwater monitoring pumps and water quality indicator meters (preferred) Experience accurately preparing soil boring logs, hydrographs, groundwater contour maps, field notes, sketches and other documentation of actions undertaken during site investigation and remediation projects Proficient understanding off current groundwater and soil sampling methods Excellent verbal, interpersonal, and written communication skills Rincon Consultants, Inc. is an award-winning leader in providing quality environmental consulting services throughout California. Recognized as the #1 ‘Best Environmental Services Firm to Work For' by the Zweig Group in 2021, our 400+ associates in 12 offices are dedicated professionals who combine their passion with our purpose. We partner with clients in sectors such as transportation, energy and infrastructure, oil and gas, water, commercial, private development, and government. The base salary range for this full-time position is $54,000-$85,000, plus benefits and bonus. At Rincon, our salary ranges are based on market median of similar jobs, according to third party salary benchmark surveys. The base pay that is actually offered will take into account internal equity and also may vary depending on the candidate's job-related knowledge, skills, and experience. Total Rewards Package* Includes: HMO, PPO, HDHP, Health Savings Account options Three Weeks Vacation accrued in the first year 401(k) / Profit Sharing Retirement Plan 2x/Year Bonus Opportunities Paid Sick Leave Eight Paid Holidays Flexible Spending & Dependent Care Employer-paid life and long-term disability insurance Dental, vision, prescription drug Supplemental life insurance Volunteer Pay for a Day Legal Shield, Identity Protection, Pet Insurance Professional Development Mentoring Patagonia Merchandise Partnership And much more!

Data scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision‑makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross‑functional business partners. WHAT YOU'LL DO Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work through data collection, feature engineering, algorithm development, analysis, visualization, and communicating results. Collaborate to productionize models and drive experimentation. Deep analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of complex data sets: Develop prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. MINIMUM QUALIFICATIONS Bachelor's degree in advanced mathematics, statistics, data science or a comparable field of study. 3+ years of experience designing, building, and evaluating practical machine learning solutions. 2+ years of experience with a programming language for data science or statistics such as Python or R, especially experience with scientific libraries like NumPy and Pandas. Experience with writing complex SQL queries and working with databases. Deep understanding of machine learning concepts and statistical methods. Strong communication skills for both technical and non‑technical audiences. Desire to collaborate with other data scientists, data engineers, analysts, and business partners. PREFERRED QUALIFICATIONS Master's or Doctorate degree in statistics, econometrics, mathematics, computer science, engineering, or a related field. Previous experience in marketing analytics and consumer insights, especially in the subscription services sector. Excellent analytical skills and advanced level statistics knowledge. Familiarity with data exploration and visualization tools such as Tableau or Looker. Experience developing interactive data apps using packages such as R Shiny or Streamlit. Strong expertise with Python and libraries such as scikit-learn and SciPy. Familiarity with data platforms and applications such as Jupyter, Snowflake, GitHub, Databricks, and Airflow. DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS 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 to search for a job opening or apply for a position, please visit the Disney Candidate Disability Accommodations FAQs. We will only respond to requests that are related to the accessibility of our online application system. #J-18808-Ljbffr

A leading data analytics firm in Los Angeles is seeking a Data Scientist to enhance their AdEngage platform and measure ad effectiveness. The ideal candidate has over 3 years of experience in coding with Python, model tuning, and SQL proficiency. Offering a competitive salary and flexible time off, this role supports a hybrid working environment with a focus on innovation in advertising analytics. #J-18808-Ljbffr

Business: Disney Direct to Consumer Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. What You'll Do Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep Analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data Sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC , which is part of a business we call Disney Direct to Consumer . Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation For Employment Applications 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. Sign up to receive new job alerts and company information based on your preferences. #J-18808-Ljbffr

A leading innovation firm is seeking a Data Scientist in Santa Monica, CA to drive AI and machine learning initiatives. The role involves building advanced models and collaborating with teams to optimize business strategies. Candidates should have a Master's or PhD in a quantitative field, along with significant experience in data analytics and machine learning. Competitive salary ranging from $160,000 to $190,000, plus benefits, is offered for this key position. #J-18808-Ljbffr

A major media and entertainment company seeks a data scientist to design and improve machine learning models that analyze subscriber behavior. The role includes deep analysis of data and collaboration with business stakeholders to drive growth and retention. Applicants should possess a Bachelor's degree in mathematics or statistics and 3+ years of machine learning experience, including proficiency in Python and SQL. This position is located in California, USA and offers opportunities to contribute vital insights to major entertainment platforms. #J-18808-Ljbffr

A leading media and entertainment company in New York City is seeking a Data Scientist II to develop and deploy machine learning solutions. The role involves collaborating with Product and Engineering teams to optimize payment processes and enhance customer relationships. Ideal candidates will have a Bachelor's degree and over 3 years of experience in machine learning model development. Competitive compensation is offered, including a salary range of $120,300 to $161,300 per year. #J-18808-Ljbffr