Data scientist jobs in Yakima, WA

Process Skills: Data Pipeline (Proficient), SQL (Expert), Python(Proficient), ETL (Expert), QuickSight (Intermediate) Contract Type: W2 Only Duration: 5+ months (high possibility of conversion) Pay Range: $65.00 - $70.00 Per Hour #LP Summary: Join the Sustain.AI team as a Data Engineer to lead the pivotal migration of sustainability data to modern AWS infrastructure, fostering a net-zero future. This role involves transforming and automating sustainability workflows into data-driven processes, significantly impacting our environmental goals. Your work will directly contribute to reducing the carbon footprint by creating an automated, scalable data infrastructure and ensuring precise data quality and consistency. Key Responsibilities: Migrate ETL jobs from legacy to AWS, ensuring no operational disruptions. Set up and manage AWS data services (Redshift, Glue) and orchestrate workflows. Transform existing workflows into scalable, efficient AWS pipelines with robust validation. Collaborate with various teams to understand and fulfill data requirements for sustainability metrics. Document new architecture, implement data quality checks, and communicate with stakeholders on progress and challenges. Must-Have Skills: Advanced proficiency in ETL Pipeline and AWS data services (Redshift, S3, Glue). Expertise in SQL and experience with Python or Spark for data transformation. Proven experience in overseeing data migrations with minimal disruption. Industry Experience Required: Experience in sustainability data, carbon accounting, or environmental metrics is highly preferred. Familiarity with large-scale data infrastructure projects in complex enterprise environments is essential. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

We are seeking a highly skilled Databricks Data Engineer with a minimum of 10 years of total experience, including strong expertise in the retail industry. The ideal candidate will be responsible for designing, developing, and optimizing data pipelines and architectures to support advanced analytics and business intelligence initiatives. This role requires proficiency in Python, SQL, cloud platforms, and ETL tools within a retail-focused data ecosystem. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Databricks and Snowflake. Work with Python libraries such as Pandas, NumPy, PySpark, PyOdbc, PyMsSQL, Requests, Boto3, SimpleSalesforce, and JSON for efficient data processing. Optimize and enhance SQL queries, stored procedures, triggers, and schema designs for RDBMS (MSSQL/MySQL) and NoSQL (DynamoDB/MongoDB/Redis) databases. Develop and manage REST APIs to integrate various data sources and applications. Implement AWS cloud solutions using AWS Data Exchange, Athena, Cloud Formation, Lambda, S3, AWS Console, IAM, STS, EC2, and EMR. Utilize ETL tools such as Apache Airflow, AWS Glue, Azure Data Factory, Talend, and Alteryx to orchestrate and automate data workflows. Work with Hadoop and Hive for big data processing and analysis. Collaborate with cross-functional teams to understand business needs and develop efficient data solutions that drive decision-making in the retail domain. Ensure data quality, governance, and security across all data assets and pipelines. Required Qualifications: 10+ years of total experience in data engineering and data processing. 6+ years of hands-on experience in Python programming, specifically for data processing and analytics. 4+ years of experience working with Databricks and Snowflake. 4+ years of expertise in SQL development, performance tuning, and RDBMS/NoSQL databases. 4+ years of experience in designing and managing REST APIs. 2+ years of working experience in AWS data services. 2+ years of hands-on experience with ETL tools like Apache Airflow, AWS Glue, Azure Data Factory, Talend, or Alteryx. 1+ year experience with Hadoop and Hive. Strong understanding of retail industry data needs and best practices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Experience with real-time data processing and streaming technologies. Familiarity with machine learning and AI-driven analytics. Certifications in Databricks, AWS, or Snowflake. This is an exciting opportunity to work on cutting-edge data engineering solutions in a fast-paced retail environment. If you are passionate about leveraging data to drive business success and innovation, we encourage you to apply!

Our client is staffing a Data Architect to define the data strategy and architecture for a new enterprise, proprietary ERP/MRP. This person will be responsible for cross-platform oversight and governance of the holistic data landscape, which will be developed iteratively through many phases of feature and architectural foundation development. Location: Issaquah, WA Associate Vendors: We are accepting applications from candidates who are currently authorized to work in the US for any employer without sponsorship. Role & Responsibilities Drives the conceptual and logical data architecture strategy in collaboration with enterprise architecture. Defines and implements data migration strategies and solutions Advises teams on translating business needs into long-term data architecture solutions. Partners with feature and architectural foundation development teams to translate data architectures into physical models and implementations. Builds, optimizes, and maintains logical (curated) data models. Works with Data Engineering and Data Platform teams to conduct ongoing performance optimizations in the data model. Assists in defining data integration, storage, replication, and transformation protocols for the data layer of technical solutions supported by enterprise architecture. Creates data quality rules and validations to monitor critical business metrics/KPIs. Develops a thorough knowledge and understanding of cross system data flows as well as an enterprise view of Costco's data landscape. Maintains detailed documentation (i.e. data flow diagrams, source to target mappings, etc.). Required Qualifications Experience in implementing packaged or custom ERP/MRP solutions in the Retail industry, focusing on data architecture and migration 8+ years' experience in data architecture design, implementation, and maintenance of complex datasets. Experience working with data modeling tools (Erwin preferred). Experience architecting and delivering data engineering/integration pipelines. Experience designing and developing performance-optimized data models. Proficient in SQL. Desired Qualifications Exposure to the retail industry. Understanding of CI/CD pipelines, Azure DevOps, and GitHub Actions. Experience with Git for code storage and collaboration. Architectural level experience in information privacy, data compliance, and risk management. Excellent verbal and written communication skills. Proficient in Google Workspace applications, including Sheets, Docs, Slides, and Gmail About Proliance: Proliance Consulting is a Seattle-based staffing firm specializing in IT and digital marketing roles. We connect top-tier talent with leading companies across the United States, offering contract, contract-to-hire, and direct placement opportunities. Our approach emphasizes building authentic relationships, ensuring transparent communication, and delivering tailored solutions that align with both candidate aspirations and client needs. Committed to fostering an inclusive and equitable workplace, we prioritize continuous learning and cultural awareness to support diverse professionals in thriving environments. Why Work for Us? At Proliance Consulting, we prioritize the well-being and satisfaction of our consultants, which is reflected in our strong reputation and 5-star reviews on Google. We offer a comprehensive benefits package that includes medical and vision coverage through Regence, with Proliance covering 50% of employee premiums and 25% for dependents. We also provide dental insurance through Delta Dental, a competitive 401(k) with matching options, and direct deposit for convenience. Our team members enjoy paid safe and sick time, paperless pay statements, and the opportunity to earn referral bonuses through our Employee Referral Program. We believe in supporting our people both professionally and personally-because when you thrive, we thrive. Proliance Consulting provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Proliance Consulting complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, and training.

No C2C or Sponsorship Data Engineer: Want to work within a local government school system and really make a difference? Our client is looking for an experience Data Engineer who can design, develop, and support complex data integrations, pipelines, models, and cloud-based data systems within the district's enterprise data environment. You will serve as a technical expert in Snowflake engineering, ELT/ETL orchestration, and data quality automation. Does this sound like you, then please apply! We value diversity in the workplace and encourage women, minorities, and veterans to apply. Thank you! Location: Portland, OR Type: 6 month contract Position details: A candidate for this position is expected to engineer, maintain, and optimize data systems and integrations that support equity-centered, data-informed decision-making. Develop, manage, and enhance secure, reliable, and scalable data pipelines and Snowflake-based data platforms that empower educators, central office staff, and school leaders. Ensure high-quality data availability, improve data accuracy, and apply modern data engineering practices that strengthen instructional and operational outcomes. Knowledge of: Advanced principles of data engineering, Snowflake architecture, data warehousing, and cloud-based data systems. SQL, dbt, ELT/ETL concepts, data modeling techniques, and API-driven integrations. Cloud environments (AWS/Azure) and data tools (Python, Workato, Airflow, Git). Data governance, metadata management, role-based access control, and FERPA requirements. Technical documentation, and Agile development practices. Equity-centered data practices and culturally responsive communication. Ability to: Design, build, and maintain efficient, reliable data pipelines and Snowflake workloads. Analyze complex data structures, identify system issues, and implement solutions. Collaborate with cross-functional teams and communicate technical concepts to nontechnical audiences. Ensure data accuracy, security, and compliance with district and legal requirements. Support the District's Racial Educational Equity Policy and contribute to an inclusive work environment. Use programming languages and tools (Python, SQL, dbt, Git, etc.) to develop data solutions. Work independently, maintain confidentiality, and deliver high-quality customer service. Education: Bachelor's degree in computer science, information science, data engineering, or a closely related field. A master's degree in a related discipline is desirable. Experience: Three (3) or more years of professional experience in data engineering, data warehousing, database development, or cloud data platform operations, including experience with Snowflake or a closely related enterprise data warehouse technology. Experience with public-sector or K-12 education environments is preferred. Any combination of education and experience that provides the required knowledge and abilities may be considered. Representative duties: Design, build, and maintain scalable ELT/ETL pipelines into Snowflake, sourcing data from SIS, HR, Finance, transportation, assessment, vendor platforms, and other enterprise systems hosted on Microsoft SQL Servers. Develop and maintain Snowflake data models, schemas, tasks, streams, stored procedures, and transformation logic to support analytics, reporting, and regulatory needs. Implement and monitor data quality frameworks, validation rules, automated tests, and observability tools to ensure accuracy, completeness, and reliability of district data. Collaborate with data architects, analysts, software developers, and cross-departmental stakeholders to translate business requirements into scalable data engineering solutions. Optimize Snowflake performance, including warehouse sizing, query tuning, clustering, and cost management to ensure efficient and cost-effective operations. Manage integrations using tools such as dbt, Workato, SQL, Python scripts, APIs, and cloud-native services; monitor workflows and resolve data pipeline issues. Ensure adherence to data governance policies, privacy requirements, and security standards including FERPA, role-based access, and metadata documentation. Support the development and implementation of districtwide data strategies, standards, and best practices. Analyze complex data issues, troubleshoot system errors, and perform root-cause analysis to identify long-term solutions. Demonstrate a commitment to the Racial Equity and Social Justice Commitment. Framework in daily practices and data governance decisions. Maintain current knowledge of Snowflake capabilities, cloud data engineering trends, emerging technologies, and industry best practices; participate in professional development

Must Have Technical/Functional Skills: We are seeking an experienced AWS Data Engineer to join our data team and play a crucial role in designing, implementing, and maintaining scalable data infrastructure on Amazon Web Services (AWS). The ideal candidate has a strong background in data engineering, with a focus on cloud-based solutions, and is proficient in leveraging AWS services to build and optimize data pipelines, data lakes, and ETL processes. You will work closely with data scientists, analysts, and stakeholders to ensure data availability, reliability, and security for our data-driven applications. Roles & Responsibilities: Key Responsibilities: • Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale data. • ETL Processes: Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems. • Data Warehousing: Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data. • Data Lake Management: Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data. • Data Security: Implement data security best practices on AWS, including access control, encryption, and compliance with data privacy regulations. • Optimization and Monitoring: Optimize data workflows and storage solutions for cost and performance. Set up monitoring, logging, and alerting for data pipelines and infrastructure health. • Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver data solutions aligned with business goals. • Documentation: Create and maintain documentation for data infrastructure, data pipelines, and ETL processes to support internal knowledge sharing and compliance. Base Salary Range: $100,000 - $130,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

A globally leading consumer device company based in Seattle, WA is looking for a ML Data Pipeline Engineer to join their dynamic team! Job Responsibilities: • Assist team in building, maintaining, and running essential ML Data Pipelines. Minimum Requirements: 5 year+ experience Experience with cloud platforms (AWS, Azure, GCP) Strong Data quality focus - implementing data validation, cleansing, transformation Strong proficiency in Python and related data science libraries (e.g., pandas, NumPy). Experience with distributed computing Experience dealing with image-type and array-type data Able to automate repetitive tasks and processes Experience with scripting and automation tools Able to execute tasks independently and creatively Languages: Fluent in English or Farsi Type: Contract Duration: 12 months with extension Work Location: Seattle, WA (hybrid) Pay Rate Range: $40.00 - $55.00 (DOE)

Akkodis is seeking a Senior Azure Data Engineer for a 6 Months contract in Acme, WA - Onsite Rate Range: $56.00/HR. - $60.00/HR.; The rate may be negotiable based on experience, education, geographic location, and other factors. Job Summary We are seeking an experienced Senior Azure Data Engineer with 6-8+ years of hands-on experience in Azure Data Factory (ADF) to design, build, and optimize scalable data integration and analytics solutions. The ideal candidate will have strong expertise in ETL/ELT pipelines, data modeling, Azure data services, and delivering enterprise-grade solutions that support reporting and analytics platforms such as Power BI. Key Responsibilities Experience in designing and developing solutions using Microsoft technologies. Strong ability to deliver highly impactful solutions to problems using the latest technology. Experience of all phases of the Software Development Life Cycle (SDLC) using Agile Scrum and Waterfall models. Build data Models for sales and inventory datasets using dimensional modeling principles, integrated with ADF pipelines and Power BI Dashboards. Experience of designing and developing enterprise applications using MVC (Model View Controller) Architecture. Experienced of Data Extraction, Transformation, and Loading (ETL) between Homogenous and Heterogeneous Systems using SSIS, Azure Data Lake, Azure Data Factory, Azure Fabric, and Databricks. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ****************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Develop tools, metric measurement and assessment methods for performance management and predictive modeling. Develop dashboards for product management and executives to drive faster and better decision making Create accountability models for DPG-wide quality, I&W, inventory, product management KPI's and business operations. Improve DPG-wide quality, install and warranty, and inventory performance consistently from awareness, prioritization, and action through the availability of common data. Collaborate with quality, install, and warranty, and inventory program managers to analyze trends and patterns in data that drive required improvement in key performance indicators (KPIs) Foster growth and utility of Cost of Quality within the company through correlation of I&W data, ECOGS, identification of causal relationships for quality events and discovery of hidden costs throughout the network. Improve data utilization via AI and automation leading to real time resolution and speeding systemic action. Lead and/or advise on multiple projects simultaneously and demonstrate organizational, prioritization, and time management proficiencies. Bachelor's degree with 8+ years of experience; or master's degree with 5+ years' experience; or equivalent experience. Basic understand of AI and machine learning and ability to work with Data Scientist to use AI to solve complex challenging problems leading to efficiency and effectiveness improvements. Ability to define problem statements and objectives, development of analysis solution approach, execution of analysis. Basic knowledge of Lean Six Sigma processes, statistics, or quality systems experience. Ability to work on multiple problems simultaneously. Ability to present conclusions and recommendations to executive audiences. Ownership mindset to drive solutions and positive outcomes. Excellent communication and presentation skills with the ability to present to audiences at multiple levels in the Company. Willingness to adapt best practices via benchmarking. Experience in Semiconductor fabrication, Semiconductor Equipment Operations, or related industries is a plus. Demonstrated ability to change process and methodologies for capturing and interpreting data. Demonstrated success in using structured problem-solving methodologies and quality tools to solve complex problems. Knowledge of programming environments such as Python, R, Matlab, SQL or equivalent. Experience in structured problem-solving methodologies such as PDCA, DMAIC, 8D and quality tools. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO * Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. * Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. * Define and evaluate key metrics in various product areas. * Deliver data insights and provide data-driven recommendations to cross-team stakeholders. * Design and analyze A/B tests for machine learning algorithm iterations. * Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. * Mentor team members and support their technical growth. WHAT TO BRING * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field * At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. * Solid knowledge of data science and statistics. Strong communication skills and business acumen. * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. * Passionate about technology and experienced in building data-driven services and applications. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * Experience in digital video advertising or digital marketing domain * Experience with machine learning models. * Experience with Airflow, data warehouse, Databricks or Sagemaker #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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 Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. 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 Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology 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. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

Duties: Responsible for identifying key metrics and conducting in-depth analyses to guide business and inform strategy decisions. Work with cross-functional teams including Product, Sales, Marketing, Account Management, and Risk to help upsell and cross-sell products and to help improve our merchants' experience. Partner with leaders across the business of Sales, Marketing, Finance and Account Management to deliver high-impact analytics. Identify and define a business challenge and craft a strategic analysis plan to uncover the necessary insights and solutions. Collaborate with leaders, various internal teams and stakeholders across the company to develop insights and analytics solutions for both internal and external clients. Examine diverse data sources and develop statistical models to pinpoint trends and key factors, supporting decision-making in product development, sales strategies, risk management, and operational processes. Build data visualization by leveraging existing tools or developing new ones, as well as providing ongoing enhancements to business dashboards. Implement processes and build tools to make data access, extraction, and analysis more efficient. Build and grow relationships with internal teams to proactively identify business needs and address them using analytics. QUALIFICATIONS: Minimum education and experience required: Master's degree in Business Analytics, Data Science, Machine Learning, or related field of study plus 4 years (48 months) of experience in the job offered or as Data Scientist, Decision Analytics Associate, or related occupation. Skills Required: This position requires four (4) years of experience with the following: Using Python to conduct complex analyses to solve unstructured problems via building predictive models using libraries NumPy, Pandas, Scikit-learn, Scipy, and Statsmodels; predictive modeling techniques, including Logistic Regression and Decision Trees; unsupervised learning using K-Means clustering and elbow method; model interpretability via SHAP; Microsoft Excel (VBA, Vlookup, Index Match, Pivot Tables). This position requires two (2) years of experience with the following: Customer Churn Predictive Models with supervised learning techniques leveraging XGBoost, Random Forest, and time series forecasting methods ARIMA, Prophet, and LSTM using libraries TensorFlow, Keras, Fbprophet; anomaly detection methods, including Isolation Forest and One-Class SVM; Statistical Analysis and Hypothesis Testing capabilities, including ANOVA and TURF Analysis; handling banking-related datasets, including Customer Complaints Data and Payments Data; Financial Scenario Analysis and Risk Modeling using Monte Carlo simulations and scenario analysis; Dashboard creation and automation using Looker, Tableau, and Power BI; Advanced SQL, including writing CTE, Windows Functions, and Stored Procedures; data pipelines leveraging Cron Jobs, Shell Scripts, and Python Automation; Log parsing and text processing using PERL; Data integration with Java backends via REST APIs; KPI tracking and reporting automation by integrating Python, SQL, and BI tools; Jupyter Notebooks for data analysis and visualization; Streaming and deployment with Apache Kafka and Docker. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: ******************************************** Job Location: 545 Washington Blvd, Jersey City, NJ 07310. Full-Time. Salary: $173,945 to $210,000 per year.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent. As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives. What you'll do: Research and analyze what drives performance on our platform for advertisers. Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction. Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc. Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success. Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: MS or PhD in a quantitative field or equivalent experience 8+ years of experience applying data science to solve real-world problems on web-scale data Domain expertise about ads platforms and products, particularly around measurement and performance Strong fundamentals in statistics, particularly experimentation and causal inference Proficiency in common data science coding languages such as SQL and Python. Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders. Strong communication skills. Explains work and thought processes clearly, concisely and convincingly. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$193,759-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools, and more. When you join D&I, you're joining a team of passionate experts working to enable more profound understanding, better ways of working, and more meaningful experiences for our players. We're looking for a sharp, curious, and collaborative Data Scientist to join our Growth Analytics team. You'll work closely with media buyers to build models and experiments that inform our marketing strategy. Your insights will shape how we allocate budget, measure impact, and forecast performance across digital channels. You'll join a tight-knit team of five data scientists and will report directly to the Senior Manager of Data Science. This is a hybrid role with an expectation of 3 in-office days per week. The position is open to candidates based near any EA office in Canada and the United States (listed above) Responsibilities: * Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify the contribution of marketing channels * Design and analyze geo-based incrementality experiments and user-level re-engagement tests to measure the causal impact of marketing spend * Lead the design and analysis of retargeting experiments, applying A/B testing principles to evaluate incremental impact and guide campaign optimization * Develop budget optimization tools to support strategic decision-making * Create forecasting models (ie: Prophet) to project game performance * Translate model insights into actionable recommendations, collaborate closely with media buyers and presenting results and insights to stakeholders Qualifications: * Master's degree in a quantitative field (e.g., Statistics, Econometrics) and 2-5 years of experience in data science or analytics, ideally focused on marketing measurement or experimentation * Familiarity with MMMs, causal inference techniques (e.g. CausalImpact, Fixed Effect Regression), and experimental design * Strong experience with Python/R and SQL * Comfort working in a Bayesian modeling framework * Ability to communicate technical results to non-technical stakeholders COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$100,000 - $139,500 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$117,000 - $179,600 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$108,900 - $145,200 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Primary Skills: Python(Expert), ETL (Proficient), Data Pipeline (Expert), data modeling (Proficient), AWS(Advanced) Contract Type: W2 Duration: 6 months with possible extension Pay Range: $65.00 - $71.00 per hour #LP Summary: We are seeking a Data Engineer II with over 5 years of experience in developing high-quality data solutions, including data modeling, warehousing, and ETL pipeline construction. The ideal candidate will possess deep knowledge in modern programming languages and distributed system architecture. This role involves collaborating with cross-functional teams to understand requirements, making data modeling decisions, and formulating data engineering strategies. Key Responsibilities: Design and implement effective database solutions and models to store and retrieve company data. Examine and identify database structural necessities by evaluating client operations, applications, and programming. Assess database implementation procedures to ensure they comply with internal and external regulations. Install and organize information systems to guarantee company functionality. Prepare accurate database design and architecture reports for management and executive teams. Must-have Skills: Advanced proficiency in Python. Extensive experience with AWS cloud services. Strong understanding of data warehouse architecture and ETL pipelines. Domain Experience Required: Proven experience in data engineering within high-visibility projects, preferable with exposure to distributed systems and big data technologies. Note: This role is for a 6-month position based in Bellevue, WA (SEA82-Everest) with no remote work possibility, requiring 5 days on-site. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in Tech Staffing As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Define and evaluate key metrics in various product areas. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Passionate about technology and experienced in building data-driven services and applications. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES Experience in digital video advertising or digital marketing domain Experience with machine learning models. Experience with Airflow, data warehouse, Databricks or Sagemaker #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Software Engineering Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 2450 Broadway Date Posted: 2025-12-18

Experience in executing projects in Agile Framework Understanding of machine learning and deep learning frameworks Understanding of generative models (e.g., GANs, VAEs, Transformers) and natural language processing. Understanding of natural language processing (NLP). Understanding of data preprocessing and model fine-tuning. Awareness of ethical considerations and bias mitigation strategies. Proficiency in programming language Python / C# Strong analytical and problem-solving skills. Base Salary Range: $110,000 - $145,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

Duties: Prepare reports on product metrics to drive data product adoption. Define technical requirements for data product supportability. Create a strategic vision for data products and design product solutions and enhancements. Assess data products against requirements and articulate analysis to a business audience. Identify and rectify defects. Advocate best practices for customers and internal teams during product design, development, beta testing, and implementation. Deliver documentation, polices, and processes for project launch to data analysts. Provide customer support, including escalation and ticket case management. Create communications, presentations, and documentation to support data products. Support the transition of data resources from on-premises to the cloud, including user onboarding to cloud-based data platforms. Assist users with data validation, facilitate data migration, and resolve product performance issues. QUALIFICATIONS: Minimum education and experience required: Master's degree in Information Technology and Analytics, Data Science, Statistics, Economics or in a related field of study plus 1 year of experience in the job offered or as Data Scientist, Data Analyst, Business Analyst, or in a related occupation. The employer will alternatively accept a Bachelor's Degree in Information Technology and Analytics, Data Science, Statistics, Economics or in a related field of study plus 3 years of experience in the job offered or as Data Scientist, Data Analyst, Business Analyst, or in a related occupation. Skills Required: This position requires one (1) year of experience with the following: Working with Big Data Analytics to assist users in troubleshooting issues, including user challenges on accessing data from various data warehouse such as Snowflake, Datalake, Teradata through integration in data validation, product performance, user onboarding, and providing guidance regarding Protection Group (PG classification) roles to access the data, query optimization feature training to users; Documenting best practices for PySpark usage and data workflows; Fine- tuning PySpark scripts for performance; Managing EMR clusters for scalable data processing; Performing real-time data monitoring and analysis leveraging Splunk. This position requires any amount of experience with the following: Maintaining data integrity and security during data migration, integration, and transformation to the cloud; Devising and implementing cloud-based solutions to enhance data accessibility and performance; Developing and integrating Python-based solutions to enhance product functionality; Writing ETL scripts and functions with libraries including Pandas and Boto3; Providing helper code to streamline data handling; Validating SQL-driven analyses to comply with banking regulations and data privacy standards; Monitoring data governance and compliance, violations and usage metrics of the product to stakeholders; Extracting and analyzing user activity data to identify behavioral patterns, assist users with troubleshooting, and develop KPIs using SQL; Integrating API solutions to diagnose and troubleshoot user- reported problems; Translating data into dashboards using business intelligence tools including Tableau, OpenSearch, Excel, and Quiksight; Capturing user activity, defining essential metrics, identifying top users, and conducting data analysis using Python; Facilitating scrum processes; Conducting backlog management and feature prioritization and writing epics and stories using JIRA; Writing technical documentation for new features and best practices using Confluence; Designing and implementing VBA solutions to streamline data workflows; Performing data cleaning and transformation using Excel functions and formulas including VLOOKUP, INDEX, and MATCH; Integrating and utilizing APIs to capture HR data and enable data analysis that supports organizational objectives and delivers actionable insights; Enhancing product infrastructure and deploying AWS solutions including EKS; Providing technical guidance to users on AWS best practices to optimize product performance and scalability. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: ******************************************** Job Location: 480 Washington Blvd., Jersey City, NJ 07310 Full-Time. Salary: $130,100 - $170,000 per year.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. 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. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location