Senior data scientist jobs in Redmond, 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!

Type: Contract-to-Perm | Duration: 6 Months We're seeking two experienced Senior Data Engineers to join our analytics reporting team and help build a robust data infrastructure. This role focuses on developing scalable ETL pipelines, designing data models, and supporting the migration of reporting tools. You'll work closely with analysts and cross-functional teams to transform business requirements into actionable data solutions within a Google Cloud Platform environment. Technical Environment Primary Cloud Platform: Google Cloud Platform (GCP) Data Warehouse & Staging: BigQuery Orchestration Tools: Airflow, Cloud Functions Reporting Tools: Looker (migration from Tableau) Day to Day Responsibilities Design, develop, and maintain ETL pipelines in BigQuery Build and optimize data models to support analytics and reporting Collaborate with analysts to translate business requirements into technical solutions Support migration of existing Tableau reports to Looker Develop data transformations and pipelines using Python and SQL Ensure data quality, scalability, and performance across all solutions Required Qualifications 4-5+ years of professional experience in data engineering Strong expertise in: Google Cloud Platform (GCP) BigQuery Python SQL (complex queries, stored procedures, joins, pivots) Proven experience in ETL development and dimensional modeling Preferred Qualifications Healthcare industry experience Familiarity with: Airflow Cloud Run Looker or Tableau reporting tools What Makes This Role Stand Out? Opportunity to work with cutting-edge cloud technologies in a healthcare setting Collaborative environment focused on innovation and data-driven decision-making Contract-to-perm pathway for long-term career growth $50.00 - $60.00 per hour Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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)

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.

About the Team The data analytics team will be responsible for data analysis of TikTok e-commerce's US ecom logistics operations Responsibilities 1. Responsible for data analysis of TikTok e-commerce's US logistics operations 2. Maintain & improve operation performance index; assist top management to monitor the weekly and bi-monthly operation performance; analyze results using statistical techniques and provide ongoing reports 3. Cooperate with logistics team to set strategy, e.g. Fulfillment network design, warehouse efficiency optimization, capacity management 4. Follow-up data analysis of operation teams in several overseas markets, support operation and provide optimization suggestions 5. Cooperate with Products and ETL teams to define system requirements, build data products, improve and roll-out product features to support business Minimum Qualifications: * Degree holder in Logistics and Supply Chain Management, Operation Research, Mathematics, Statistics, Computer Science * Proficient in SQL and familiar with Python or R Preferred Qualifications: * Experience in US logistics or US E-Commerce site fulfillment process (Amazon FBA/SFP; Ebay/Walmart/Shopify) is a strong plus * At least 5 years of working experience in logistics or supply-chain related data modeling analysis; Familiar with fulfillment network design, inventory management, US logistics carrier optimization * High energy, self-motivation and ability to work independently in a fast-growing environment

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000-$259,000 USD

Job DescriptionAircall is the world's leading integrated customer communications and intelligence platform for growing businesses. Trusted by over 20,000 companies worldwide, Aircall unifies voice and digital channels into one seamless platform, offering one-click integrations with leading CRMs and over 100 business tools. With real-time, AI-powered insights and feedback, AI agents, and automation, we help sales and support teams save time on routine tasks, uncover opportunities, and deliver exceptional customer experiences. With a global team of 600+ across nine offices, Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, Mexico City, Aircall is transforming how businesses connect with their customers, driving smarter conversations, deeper relationships, and measurable success. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the team Our Data team is the backbone of Aircall's decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights About the role As a Senior Data Analyst, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.Your mission @ Aircall: Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention Provide actionable insights and compelling narratives to influence major decisions at the C-level Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality A little more about you: 5+ years of hands-on technical experience in a high growth environment Proficiency in SQL for deriving insights Proficiency in Python Data-driven, structured and solution oriented with extensive experience in building rigorous experiments Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels You have an insatiable curiosity and are biased toward action This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.Aircall is constantly moving forward. We're building new roads to complete our journey, and we're taking people with us who have the same builder mentality. Let's grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights. We're creating a place where great people trust one another and thrive together. People flourish at Aircall and now is the time to be part of the team and the journey we're on. Why join us? \uD83D\uDE80 Key moment to join Aircall in terms of growth and opportunities\uD83D\uDC86️ ♀️ Our people matter, work-life balance is important at Aircall\uD83D\uDCDA Fast-learning environment, entrepreneurial and strong team spirit\uD83C\uDF0D 45+ Nationalities: cosmopolite & multi-cultural mindset\uD83D\uDCB5 Competitive salary package & equity\uD83C\uDFE8 Medical, dental, and vision insurance is 100% covered\uD83D\uDCC8 401k plan with company matching!✈️ Unlimited PTO - take the time you need to come to work feeling great!⭐️ Wellness, internet, and childcare reimbursements\uD83D\uDC9A Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Our Company: At red violet, we build proprietary technologies and apply analytical capabilities to deliver identity intelligence. Our technology powers critical solutions, which empower organizations to operate with confidence. Our solutions enable the real-time identification and location of people, businesses, assets and their interrelationships. These solutions are used for purposes including identity verification, risk mitigation, due diligence, fraud detection and prevention, regulatory compliance, and customer acquisition. Our intelligent platform, CORE, is purpose-built for the enterprise, yet flexible enough for organizations of all sizes, bringing clarity to massive datasets by transforming data into intelligence. Our solutions are used today to enable frictionless commerce, to ensure safety, and to reduce fraud and the concomitant expense borne by society. The Role: We're looking for a Data Scientist with expertise in parallel programming, Linux administration and software systems to join our Seattle team. You'll use your programming, mathematics and analytics experience to write scalable; production facing code and develop creative solutions to challenging problems. Together we'll be working in parallel, highly distributed, Linux-based environments that leverage our proprietary search and computing platform. What You Will Do: * Design, develop, debug and maintain the parallel proprietary code bases that are used for complex data fusion and entity resolution algorithms sitting at the core of our risk management offerings. * Create novel search capabilities that leverage inverted indices, Bayesian inference and higher order clustering techniques. * Work closely with our engineers to integrate your innovations into our production systems. * Support business decisions with ad-hoc analysis as needed. What You Bring: * Master's Degree or Bachelor's Degree with 2 years of work experience in Computer Science, Math, Statistics, Physics, or related field. * Experience using C / C++ and MPI in a Linux environment. * Experience debugging and optimizing distributed code. * Experience building and maintaining software build systems. * Experience working with large data sets for data mining, analytics, modeling. * Understanding of relational algebra and database operations. * Applicants must have permanent work authorization in the U.S.; we are not sponsoring visas for this role. Base Salary: Commensurate with experience: Salary range for the Data Scientist: $90K - $140K Salary range for the Senior Data Scientist: $120K - $180K What we offer: red violet offers excellent benefits including opportunity for stock (RSU) grants, a 401K and generous company match, flexible PTO policy, medical, dental and vision coverage, commuter benefits, in-office healthy snacks, team events and more. red violet is proud to be an Equal Opportunity Employer.

Apply Description Our Company: At red violet, we build proprietary technologies and apply analytical capabilities to deliver identity intelligence. Our technology powers critical solutions, which empower organizations to operate with confidence. Our solutions enable the real-time identification and location of people, businesses, assets and their interrelationships. These solutions are used for purposes including identity verification, risk mitigation, due diligence, fraud detection and prevention, regulatory compliance, and customer acquisition. Our intelligent platform, CORE™, is purpose-built for the enterprise, yet flexible enough for organizations of all sizes, bringing clarity to massive datasets by transforming data into intelligence. Our solutions are used today to enable frictionless commerce, to ensure safety, and to reduce fraud and the concomitant expense borne by society. The Role: We're looking for a Data Scientist with expertise in parallel programming, Linux administration and software systems to join our Seattle team. You'll use your programming, mathematics and analytics experience to write scalable; production facing code and develop creative solutions to challenging problems. Together we'll be working in parallel, highly distributed, Linux-based environments that leverage our proprietary search and computing platform. What You Will Do: Design, develop, debug and maintain the parallel proprietary code bases that are used for complex data fusion and entity resolution algorithms sitting at the core of our risk management offerings. Create novel search capabilities that leverage inverted indices, Bayesian inference and higher order clustering techniques. Work closely with our engineers to integrate your innovations into our production systems. Support business decisions with ad-hoc analysis as needed. What You Bring: Master's Degree or Bachelor's Degree with 2 years of work experience in Computer Science, Math, Statistics, Physics, or related field. Experience using C / C++ and MPI in a Linux environment. Experience debugging and optimizing distributed code. Experience building and maintaining software build systems. Experience working with large data sets for data mining, analytics, modeling. Understanding of relational algebra and database operations. Applicants must have permanent work authorization in the U.S.; we are not sponsoring visas for this role. Base Salary: Commensurate with experience: Salary range for the Data Scientist: $90K - $140K Salary range for the Senior Data Scientist: $120K - $180K What we offer: red violet offers excellent benefits including opportunity for stock (RSU) grants, a 401K and generous company match, flexible PTO policy, medical, dental and vision coverage, commuter benefits, in-office healthy snacks, team events and more. red violet is proud to be an Equal Opportunity Employer.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Senior Data Scientist Responsibilities: 1. Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products. 2. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products. 3. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 4. Inform, influence, support, and execute our product decisions and product launches. 5. May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure. 6. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 7. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. **Minimum Qualifications:** Minimum Qualifications: 8. Master's degree (or foreign equivalent) in Computer Science, Information Systems, Analytics, Engineering, Mathematics, Physics, Economics, Applied Sciences or related field and 2 years of experience in the job offered or in a computer-related occupation 9. Experience must include 2 years in the following: 10. 1. Performing quantitative analysis including data mining on highly complex data sets 11. 2. Data querying language: SQL 12. 3. Scripting language: Python 13. 4. Applied statistics or experimentation, such as A/B testing, in an industry setting 14. 5. Machine learning techniques 15. 6. ETL (Extract, Transform, Load) processes 16. 7. Relational databases 17. 8. Large-scale data processing infrastructures using distributed systems 18. 9. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics 19. 10. Using data modeling techniques for forecasting **Public Compensation:** $206,133/year to $235,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities: Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes. Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP. Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development. Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation. Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting. Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.). Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices. Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing. Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions. Required Qualifications: 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments. Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spa Cy, and/or Hugging Face. Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures. Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems. Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases. Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale. Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment. Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively. Preferred Qualifications: Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies. Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD). Certifications related to Epic, FHIR, or other health IT platforms are a plus. Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation. Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery. Benefits & Compensation: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Job Description The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally. About The Role We're seeking a Senior Data Scientist to join our Nuclear OS team and build the AI/ML capabilities that will transform nuclear construction. This senior-level position offers the unique opportunity to develop predictive analytics and machine learning models that learn from historical and real-time data to predict future outcomes, detect anomalies, and optimize nuclear project delivery. You'll work with cutting-edge AI/ML technologies and data integration platforms, deploying models that directly impact the efficiency, safety, and cost-effectiveness of fleet-scale nuclear deployment. Key Responsibilities Predictive Analytics Development: Host and develop various ML models that learn from historical and real-time data to predict future outcomes or detect anomalies, including schedule slippage prediction, equipment failure forecasting, and risk assessment AI Model Development & Deployment: Develop, train, and deploy machine learning models within the Palantir Foundry environment, managing model development, training, and inference at scale while ensuring models operate on governed, quality-controlled data Anomaly Detection & Optimization: Introduce ML algorithms on numeric datasets to identify outliers or predict issues, applying time-series anomaly detection to identify unusual fluctuations that could indicate problems Algorithm Optimization: Fine-tune and optimize predictive analytics algorithms to improve the accuracy of fault detection and predictive maintenance, adjusting machine learning models based on historical data to enhance prediction accuracy AI-Driven Decision Support: Build AI capabilities that augment human decision-making with AI intelligence, helping project managers identify potential risks before they become problems and enabling real-time adaptation to prevent cost overruns Data Analysis & Visualization: Perform comprehensive data analysis and create visualizations that communicate insights to stakeholders, enabling data-driven strategy and decision-making Model Training & Continuous Improvement: Train models on historical data from previous construction projects and continuously improve them with incoming data from ongoing projects, scheduling retraining as new data accumulates Cross-Project Learning: Develop fleet-wide learning capabilities where data from each project is aggregated to enable performance benchmarking and cross-project AI, creating a self-improving fleet deployment model AI/ML Infrastructure: Build and maintain pipelines for training and running models at scale using Python ML libraries (TensorFlow/PyTorch), ensuring auditability and transparency of outputs Simulation & What-If Analysis: Develop simulation engines and what-if analysis tools to simulate schedule adjustments or supply chain disruptions using unified data from the ontology Collaboration & Communication: Work closely with engineering, construction, and operations teams to understand business problems, translate them into data science solutions, and communicate findings to both technical and non-technical stakeholders Required Qualifications Experience 7-12 years of experience in data science, machine learning, or advanced analytics Proven track record of developing and deploying production ML models at scale Experience with predictive analytics, anomaly detection, and optimization algorithms Technical Skills Machine Learning: Deep expertise in AI/ML systems, including supervised and unsupervised learning, time-series analysis, and anomaly detection Programming: Advanced proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn) for model development and deployment Data Platforms: Familiarity with machine learning frameworks and model deployment; experience with Palantir Foundry or similar data integration platforms preferred Analytics & Visualization: Strong skills in data analysis, statistical modeling, and data visualization tools Model Operations: Experience with MLOps, model versioning, monitoring, and continuous training pipelines Big Data: Experience working with large-scale datasets and distributed computing frameworks Professional Competencies Strong analytical and problem-solving skills with ability to translate business problems into data science solutions Excellent communication skills to explain complex technical concepts to non-technical stakeholders Ability to work independently and lead data science initiatives Experience with A/B testing, experimentation, and statistical analysis Commitment to model transparency, auditability, and ethical AI practices Preferred Qualifications Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field Experience in construction, manufacturing, or other complex project-based industries Knowledge of digital twin concepts and IoT sensor data analysis Familiarity with natural language processing and large language models Experience with AI-driven forecasting and optimization in regulated environments Background in causal inference and econometric modeling Experience with graph neural networks or knowledge graph applications Understanding of nuclear industry operations or highly regulated industries Publications or contributions to open-source ML projects Benefits Competitive compensation packages 401k with company match Medical, dental, vision plans Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $121,000 - $143,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.

RentSpree is the nation's leading home rental software. Our award-winning product suite simplifies the entire rental journey-from applications and screening to payments and lease management. Our mission is to bring transparency, efficiency, and trust to agents, landlords, and renters alike. With over 3 million users, partnerships with 300+ leading real estate companies and MLS platforms, and nine years of consistent growth, RentSpree is at the forefront of proptech innovation. Our award-winning solutions deliver automation and real-time insights that make renting faster, easier, and more secure for our customers. RentSpree is a proud Forbes' Best Startup Employer and we were also ranked one of BuiltIn Seattle's Best Places to Work. As one of the fastest-growing property tech startups in the U.S., we're looking for talented problem-solvers to contribute meaningful impact as we scale. Staff Data Scientist - Seattle, WA (hybrid) - paid relocation available Join the Data department at RentSpree as a Staff Data Scientist! You will play a key role in developing, evaluating, and fine-tuning cutting-edge machine learning and large language models (LLMs), collaborating closely with product, analytics, and engineering teams to create impactful AI-powered features and internal tools. This position offers a unique opportunity to work collaboratively with cross-functional teams located in Thailand and the US, helping transform advanced AI models into scalable, production-ready applications. If you're excited to work on challenging projects that leverage rich datasets and LLM technologies-and you're passionate about applying AI research in high-impact business scenarios-we want you! Take the lead and bring your proactive, builder mindset to RentSpree. This role is based in Seattle with 2 days per week in-office. What You'll Do * Strategic AI Alignment: Collaborate with Product, Engineering, and Data leaders to define and refine RentSpree's ML/LLM strategy, ensuring alignment with business priorities, roadmap milestones, and measurable success criteria. * AI Use Case Translation: Partner with analytics teams to turn business challenges into well-defined, testable LLM/ML use cases, accelerating time-to-production for AI solutions. * Mentorship & Skill Uplift: Coach data scientists, analysts, and engineers in LLM concepts, evaluation design, RAG patterns, and applied AI/ML best practices. * Full AI Lifecycle Ownership: Design, fine-tune, evaluate, and deploy ML/LLM models for both product-facing features and internal AI assistants, with a focus on scalability, safety, and maintainability. * Agentic AI Infrastructure: Architect and implement workflows for agentic AI systems - including multi-agent coordination, tool integration, memory management, and retrieval-augmented generation (RAG) - enabling autonomous and semi-autonomous AI-powered decisioning. Our job descriptions evolve with our business needs and priorities. In addition to the description above, your role may include additional tasks, projects and team support as needed. Skills You Bring * Bachelor's or Master's degree in computer science, data science, machine learning, or a related quantitative field. * 6+ years in applied ML, NLP, or AI engineering, with demonstrated experience in shipping production AI/ML features. * Expert proficiency in Python modern ML/LLM frameworks (PyTorch, Hugging Face, LangChain, LlamaIndex), and strong SQL/data pipeline skills. * Proven hands-on experience fine-tuning LLMs, building RAG pipelines, and creating agentic AI workflows (e.g., multi-step reasoning, autonomous agents, internal AI copilots). * Experience defining and running LLM evaluation frameworks and integrating human feedback loops. * Strong communication skills to bridge technical and non-technical teams, with the ability to influence AI product direction. * SaaS or proptech domain experience is a plus, especially with real estate transaction, tenant screening, or property management data. Qualities You Practice These encompass our guiding principles and startup culture competencies: * Take full ownership and accountability: Drives projects from idea to execution, with pride, urgency, and a "do what it takes" mentality. * Collaborate with clarity, candor, and respect: Communicate openly and courageously, offer and receive feedback well, and build trust through transparency and reliable partnership. * Strive for excellence while staying humble: Driven with a bias for action, hold a high bar, think critically, and continuously look to improve. * Bring a versatile, proactive mindset: Adapt to evolving needs, anticipate challenges, take initiative, be resourceful, and embrace opportunities to achieve high quality results. * Innovate and learn fast: Experiment, learn from failure, and seek opportunities to introduce new methods or diverse ways of achieving results. * Engage in healthy debate and commit as a team: Contribute ideas, challenge constructively, and align quickly for decisive action. * AI is a core skill: Equip yourself to use AI in your daily workflow, boosting productivity, accelerating RentSpree's growth, and building future-ready career skills in a world where AI literacy is essential. Why Join Us? Our Award-Winning Benefits & Culture As a fast-growing startup, our culture is built on collaboration, curiosity, and the drive to build something meaningful together. From most comprehensive benefits starting on day one to an environment built on trust, respect, and belonging, we make sure our team feels supported every step of the way. Here's what we offer: * Compensation: $180k-$202,5k base salary * Equity Options: Share in the value we're creating-your work makes a real impact. * Team-First Culture: Join a group of talented, supportive teammates who inspire each other to do their best work and celebrate every win. * Learning & Development: Ongoing support for your growth through resources, coaching, and career development opportunities. * Health Coverage: Comprehensive employee + dependent medical, dental, and vision insurance, as well as HSA/FSA options. Plus, enjoy additional health perks like access to Headspace Care+, gym membership discounts, and much more - because your well-being matters, inside and out. * Plan for your future: Life, disability, and Simple IRA retirement plan with company match to support your future. * Flexible Vacation Policy: We trust you to take the time you need to rest and recharge. * Holidays: Enjoy 12 holidays throughout the year, as a part of our commitment to honoring culture, history, and time to recharge. * Events: We make time to connect and celebrate through reimbursable weekly team lunches, game nights, events, and more, both in-person and remotely. * Recognition Programs: Team members can recognize their peers with Sprees, which are redeemable for gift cards and/or donations to an organization of your choice, or nominate a colleague for a S.P.R.E.E. Award to spotlight above-and-beyond contributions, which may be rewarded with a spot bonus. Our Work Anniversary Program also honors employee milestones with personalized tokens of appreciation! * Business Expense Allowance & Internet Reimbursement: Get the tools and support you need to do your best work. * Parental Leave & Fertility Support: Inclusive benefits to support you and your family, wherever you are in life. * Legal & tax benefits: We offer group legal benefits and tax support through RocketLawyer. * Seattle HQ: If you'll be working from our Seattle office, you'll receive a company-sponsored Orca card to cover the cost of public transportation to and from the office! Ready to Build Something Big? We're a team of talented, kind, and supportive people who take ownership, move with urgency, and strive for excellence. If you're ready to roll up your sleeves and take on exciting challenges, we'd love to hear from you, even if you don't meet every requirement! EEO Statement RentSpree is an equal opportunity employer that is committed to diversity and inclusion in the workplace. 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. RentSpree makes hiring decisions based solely on qualifications, merit, and business needs at the time.

National Capitol Contracting is seeking Data Scientists of Junior, Senior and SME level to support an upcoming contract with the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. Key Areas of Responsibility * Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. * Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. * Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. * Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders. * Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management. Government Security Clearance Requirement * Government security clearance requirements may vary amongst positions, however, a minimum of a Top Secret clearance with SCI eligibility and willingness to undergo a CI and/or FS polygraph is required. Minimum Requirements * Requirements may vary per job level and location, however, the candidate should possess the following at the time of application: * Bachelors degree in Computer Science, Data Science, Computational Science, or related field. * Experience building and leading data management and analytics projects and initiatives for Federal clients. * Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders. * Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics. * Knowledge of big data technology infrastructure and environments. * Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) * Experience in developing machine learning models. * Results-driven, creative, and analytical. * Strong leadership and ability to work within cross-functional groups. Preferred Qualifications * Masters of Science Degree in Computer Science, Data Science, Computational Science or related field. Special Position Requirements Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time. This is a full-time position. NCC offers a competitive compensation packages: salary is commensurate with experience. Benefits include medical, dental, flexible spending, three weeks accrued Paid Time Off (PTO), paid federal holidays, and 401(k) with company match. NCC is an Equal Opportunity Employer (Minority/Female/Disabled/Veteran).

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

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 * 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 * Required Education * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field #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

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.

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