Data scientist jobs in Bothell, 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.

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.

Team Intro: The Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities: This role is responsible for developing and executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R&D teams in both US and globally. You are playing a key role in empowering TikTok platform to achieve overall payment success by way of payment security. You will contribute to the development of industry-leading capabilities to protect TikTok and our users from emerging payment threats and ensure secure payment growth. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. Specific responsibilities include: * Work with large datasets to solve problems that could be ambiguous and nuanced using a variety of analytical and statistical approaches. * Conduct quantitative analysis using statistical regression, machine learning, as well as hypothesis testing and present analysis and recommendations in a user friendly manner to propel business growth and customer satisfaction. * Develop a scientific approach to measure KPI fluctuation, impact of business initiatives, and customer experience and design indexes for continuous monitoring. * Design and implement foundational tests including backtesting for measuring the effectiveness of credit risk strategy and segmenting user profile. * Create documentation articulating the sampling process, underlying assumptions, design of test, success metrics, and conclusion. * Have familiarity with best practices and pragmatic approaches for addressing common issues including data quality, seasonality, insufficient training dataset, etc. * Perform predictive analysis and support business partners with revenue and loss forecasts, budgeting, risk and incident management to proactively address foreseeable challenges. * Conduct deep dive analysis and diagnosis to identify patterns, concentrations, correlations, root causes to provide transparency into business and product performance. * Partner with Product, Strategy, Operations and cross-functional teams to inform, influence, support, and execute strategy and decisions. * Demonstrate understanding of common challenges facing TikTok business, key products, and the competitiveness of the marketplace.Minimum Qualifications: * 3+ years of progressive success in roles of increasing responsibility. * 3+ years working in data science, risk, machine learning, and A/B testing. * 3+ years of coding experience in Python, Hive, SQL and familiarity with machine learning functions, options, forecasting models. * 5+ years of experience with Tableau or other data visualization tools (e.g. Tableau). Preferred Qualifications: * Knowledge of the payments industry is highly desirable. * Risk analytics/operations, data science experience or similar quantitative business responsibility for financial services, eCommerce, or operational performance highly desirable. * Strongly skilled at manipulating and integrating data from a variety of sources. * Proficiency with test design, feature creation, model development, and documentation.

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple's ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. The Data Operations Capacity Planning team is looking for a highly motivated Senior Analyst with proven experience in planning, forecasting, analytics, and operations. In this role, you will be responsible for converting internal customer's annotation / labeling needs into quantitative project requirements and assembling and executing on the capacity planning necessary to deliver projects successfully. Teams across Apple, building amazing experiences into every Apple product, will come to rely on you to meet their product needs with high quality, cost-effective, and timely annotated data. You are an experienced analyst who loves working with people across technical and non-technical domains to solve problems and deliver results. In this role you'll have a chance to lean on all of your technical and people skills while engaging with teams across Apple's ecosystem who are working on cutting-edge AI and machine learning technology. You will work with teams in operations, engineering, and program management to forecast demand, develop capacity plans, and partner in the execution of annotations projects on a daily basis that support Apple's machine learning and AI efforts. You will work with client engagement and business planning to gather data and prepare projects for execution. You will partner with engineering teams to improve project execution automation, analytics, and reporting. You will communicate performance trends to leaders on an ongoing basis, highlighting and spearheading opportunities to drive further efficiency. 5+ years of experience in Forecasting, Planning, Data Analyst, or Data Science roles Proficiency with using large scale data analytics in service of solving complex business problems Proficiency with data science programming languages (e.g. Python), data visualization (e.g. Tableau), SQL, and Excel Ability to condense complex concepts and analysis into clear and concise takeaways that drive action Superb communication and presentation skills with meticulous attention to detail Excellent in teamwork and relationship building. Not above doing whatever it takes to get the job done. Self-directed and proactive. You thrive in an ambiguous and fast-paced environment. Advanced degree in economics, mathematics, engineering/computer science, or other relevant field that demonstrates quantitative skill.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Work with large, complex data set to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development. Construct and implement metrics to enhance measurement and governance of the business integrity associated with ads and the quality of ads. Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Research and develop analysis, forecasting, and optimization methods to improve the quality of ads products. Mentor junior-level Data Scientists.Qualifications Must have a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, Mathematics, or a related quantitative field, and 3 years of related work and/or research experience. In lieu of a Bachelor's degree, employer will accept an additional 2 years of related work and/or research experience. Of the required experience, must have 3 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing language SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; Researching and developing analyses, forecasting, and optimization methods to improve product quality using SQL, time series, or causal inference experiments; Conducting exploratory and predictive analysis using Python, R, or Scala programming language; Conducting forecasting and experiment analysis with presentations through visual displays of quantitative information, using visualization tool Tableau or Excel; and Building, tuning, and validating statistical models for regression and classification problems in Python. Type: Full time, 40 hours/week Location: Bellevue, WA Salary Range: $196914 - $312867 per year To Apply, click the apply button below. Contact *********************** if you have difficulty submitting resume through the website. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ****************************** #IND-DNI

Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Staff Data Scientist Opportunity We are seeking a highly experienced Data Scientist to lead the strategy, development, and operationalization of advanced analytics and predictive insights that power our Go-To-Market (GTM) motion. This role will operate as a senior technical and thought leader within the Enterprise Data & Insights organization, helping steer the evolution of data science capabilities across the company. You will be responsible for architecting scalable data science solutions that influence revenue, pipeline performance, customer value, and strategic business decisions. This includes setting the long-term data science roadmap, shaping platform and tooling choices, and implementing robust MLOps practices to ensure repeatability, governance, and operational excellence. A key part of this role will be enabling a future-state citizen data science model through the creation of extensible frameworks, reusable assets, and self-service capabilities. This is a high-visibility, impact-driven role that blends technical depth, product thinking, stakeholder partnership, and organizational leadership. What you'll be doing Data Science Strategy & Leadership Own the end-to-end data science vision and multi-year roadmap, aligning with GTM, Sales, Marketing, Customer Success, and Executive leadership. Define and drive the evolution of the data science platform, including model development environments, feature stores, ML pipelines, and production deployment frameworks. Establish and oversee MLOps standards, ensuring reproducibility, model monitoring, versioning, performance tracking, and continuous improvement cycles. Lead governance frameworks for responsible and transparent ML usage across the organization. Advanced Analytics & Predictive Modeling Build, deploy, and scale predictive models and optimization frameworks that impact revenue generation, pipeline health, customer engagement, and churn/retention. Develop advanced analytics solutions including lead scoring, propensity to buy, churn and risk identification, and deeper insights and correlation analysis on company key performance indicators. Partner closely with GTM leadership to translate business goals into analytical solutions and communicate complex findings in clear, business-centric terms. Technical Architecture & Full-Stack Development Architect and implement full-stack data science workflows: data discovery, feature engineering, modeling, validation, deployment, performance measurement, and iteration. Collaborate with data engineering to shape the data ecosystem (databases, pipelines, feature stores, compute infrastructure) required for scalable ML. Deliver reusable libraries, templates, and tools to support a democratized, self-service analytics environment. Evangelism & Enablement Mentor and guide data scientists, analysts, and cross-functional teams on ML best practices, capabilities, and opportunities. Drive the foundation of a citizen data science program, enabling non-technical teams to leverage ML-powered insights safely and effectively. Represent data science across executive forums, cross-functional initiatives, and enterprise programs. What you'll bring to the role 7+ years of experience as a data scientist or machine learning practitioner, with at least 3-5 years in a senior or staff-level leadership role. Proven experience building full-stack data science solutions - from data ingestion and feature generation to model deployment and monitoring. Deep expertise in: Machine learning algorithms (supervised/unsupervised, NLP, forecasting, optimization) Statistical modeling and experimental design Python and relevant ML libraries (scikit-learn, TensorFlow/PyTorch, XGBoost, etc.) SQL and distributed data technologies Strong fluency with cloud-based analytics stacks (AWS, Azure, or GCP) and modern ML platforms (Databricks, SageMaker, Vertex AI, MLflow, etc.). Hands-on experience implementing MLOps, CI/CD for ML, and automated training/deployment pipelines. Excellent communication skills, with a proven ability to translate analytical insights into business impact. Demonstrated success influencing and partnering with Sales, Marketing, GTM Operations, or Customer Success organizations. And extra credit if you have experience in any of the following! Experience in a high-growth SaaS, cybersecurity, identity, or enterprise software environment. Prior ownership of ML platform decisions and tooling evaluations. Experience building or enabling self-service analytics or citizen data science capabilities. Familiarity with GTM analytics concepts such as funnel modeling, pipeline forecasting, account scoring, customer lifetime value (CLV), and revenue intelligence. #LI-MC1 #LI-Hybrid #P8173_3312145 The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $174,000-$262,000 USD Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: **************************** The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$156,000-$234,000 USD What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! ************************************** Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at *********************************************

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

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.

Statsig is on a mission to fundamentally change how software is built, tested, and shipped. Thousands of companies use Statsig to deploy features safely, run experiments that drive understanding of their customers and business, and analyze user trends to inform their next investment areas. This isn't just about building a better A/B testing tool; this is about catalyzing positive change in how builders build, ultimately resulting in better products and happier customers! About the Team The Customer Data Science team at Statsig plays a critical role in ensuring our customers succeed with experimentation and data-driven decision-making. This team bridges the gap between product, data, and customer success-guiding customers of all experience levels in leveraging Statsig's tech stack to run, interpret, and optimize experiments. Whether working with companies that have years of expertise in experimentation or individuals just starting their journey, we provide support, insights, and best practices to maximize value from Statsig. What you'll do As a Customer Data Scientist at Statsig, you will be responsible for helping prospective and existing customers successfully adopt and utilize our experimentation platform. You will work closely with customers, product, and data teams to provide guidance, troubleshoot challenges, and shape the future of experimentation at Statsig. Responsibilities Collaborate with customers to understand their data needs and provide solutions to their challenges, guiding them through Statsig's tech stack to create, launch, and interpret experiments. Partner with prospective and current customers' data teams, demonstrating how Statsig solves their challenges and meets or exceeds their experimentation needs. Help scale and improve the efficiency of Statsig's sales and customer success efforts. Dive into raw data to diagnose and debug issues, ensuring data accuracy and reliability. Serve as the face of Statsig's Data Science team, representing our company values and expertise. Who you are The ideal candidate for this role is passionate about experimentation, enjoys working closely with customers, and has a strong technical background. You should be comfortable explaining complex statistical methodologies to diverse audiences and eager to help customers navigate their experimentation journey. Qualifications 4+ years of hands-on experience with experimentation as a product data scientist. Must be proficient in explaining underlying methodologies and statistical techniques to audiences with different technical backgrounds. Proficiency in SQL, Python, and other data manipulation techniques. Strong customer focus and ability to empathize with customer needs. Excellent communication and presentation skills. Ability to work full time on-site from our Bellevue, WA office. If you are excited about the opportunity to work at the intersection of data science and customer success, we would love to hear from you. In this role, you'll gain exposure to a broad range of customers, at different stages in their experimentation journeys, and a wide variety of experimentation challenges-giving you a unique perspective on how experimentation operates across the industry. Please note that this job description is subject to change and may not include all responsibilities or qualifications required for the role of Customer Data Scientist at Statsig. Compensation: Compensation for this role is a combination of base salary and equity with a base salary range of $165,000-$200,000 EEOC Statsig is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems. Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses. Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for experienced researchers to work with our luminary science advisors on major scientific breakthroughs. You will love this job if: You love solving really challenging problems You seek opportunities to see your research deployed in practice to solve real world problems and impact millions of users You enjoy working at the very cutting edge of R&D You want to experience an early stage startup What you'll be responsible for: Proposing solutions to the different science problems in an evolving environment Collaborating with engineering and product leadership to plan and prioritize a long-term roadmap of science breakthroughs Working with the engineering team who will be responsible for integrating and deploying your work in production Conducting regular internal science reviews and educational sessions for the team Working with our partners in academia to stay at the very forefront of R&D in our space What we look for in a candidate: More than five years of experience after completing PhD, or equivalent demonstrable industry experience PhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical engineering, or related fields Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines Programming skills and familiarity of modern ML frameworks Research track demonstrated by top-level journal and conference publications Strong problem-solving and self management skills Passion for technical and scientific excellence Strong communication skills and capacity to report and disseminate results Perks: Competitive salary with stock options Healthcare plan Competitive vacation and leave policy Unlimited in-house healthy snacks & drinks Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience Vibrant and inclusive company culture with frequent team-building events About Us: Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. Learn more at **************** We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on! Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR RESPONSIBILITIES As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design. JOB REQUIREMENTS Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics. Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment. Training in deep learning approaches and natural language processing Advanced proficiency with Python for data analysis Must be fluent in either keras or tensorflow Experience with large data sets (10 million+ rows) Ability to convey rigorous mathematical concepts and considerations to non-experts Experience working in an agile methodology EDUCATION Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and analysts trust Stackline as the single source of commerce truth. Fueled by our proprietary neural network, our market insights, revenue metrics, behavior analyses, and autonomous functionality create the actions that determine success or failure. Founded in 2014 in Seattle, we have offices in Minneapolis, New York, Salt Lake City, and London. Since November 2020, Stackline has raised $180 million in strategic investments from Goldman Sachs Growth Equity and TA Associates. Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together. About The Role: Ready to embark on your next big adventure? Are you experienced with Large Language Models or Large Multimodal Models? Join us as a Data Scientist at Stackline where you will thrive in our dynamic, team-oriented atmosphere, contributing your skills to develop practical Machine Learning solutions. This role involves delving into vast data pipelines, analyzing over a billion data points each week, and collaborating closely with Data Engineers, Software Engineers, and Product Management team. This hands-on analytical position requires not only your coding expertise, but also your dedication to architecting, developing, and testing innovative models that make a tangible difference. If you're ready to make a meaningful impact, apply now to be part of our exciting journey! This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office. What You Will Do: Develop, test, and deploy Large Language Models or Large Multimodal Models across multiple company products. Independently create innovative Machine Learning pipelines and collaborate with leadership and stakeholders to test and validate data outputs. Provide prompt and accurate responses to both internal and external inquiries about our datasets and models. Apply technical proficiency to process complex and intricate datasets, establish quality control procedures, and derive actionable insights. Utilize data effectively to extract insights and devise innovative strategies, offering actionable recommendations to stakeholders in data science, engineering, and product teams. Collaborate with cross-functional teams to identify new opportunities requiring the application of modern data science and Machine Learning techniques. Design and implement innovative models and experiments using cutting edge analytical, mathematical, and machine learning methods to drive growth in new company domains. Document data sources and processes for data analysis and modeling. Who We Are Looking For: PhD in Mathematics, Physics, Computer Science, Engineering, or another technical field. 1+ years of direct industry work experience in one or more of the following areas: data science, data analytics or data engineering. 1+ years of experience with Machine Learning, statistics and probability, algorithm development, and data analytics. Hands on experience with Large Language Models (LLMs) or Large Multimodal Models (LMMs). Strong proficiency with programming and querying languages like Python and SQL. Experience deploying solutions at scale after prototyping. Demonstrated experience in Machine Learning tools such as Tensorflow,PyTorch, Spark ML, or related frameworks. Experience with distributed version control (e.g. git).. Bonus Points If You Have: Prior experience with big data technologies such as Hadoop or Spark. Demonstrated experience designing and building new ideas, working closely with technical teams from concept generation through implementation. Experience working in a startup, retail, digital advertising, or e-commerce environment. Benefits and Perks: It's important that each and every employee feels they are supported and can complete their life's best work today and in the future. As part of that, we are committed to doing our part in addressing pay gaps and discrepancies by providing pay transparency for all of our roles. Actual salaries are just one component of the compensation package and may vary above or below the range based on job-related knowledge, skills, experience, geographical location, and performance. The pay range for this position located in Seattle is $140,000 - $160,000 per year. Other rewards may include annual bonuses, short- and long-term incentives, and other team-specific awards. In addition we provide a robust benefits and perks package that includes: Comprehensive benefits plan covering medical, dental, and vision Fertility benefits Company 401k plan plus matching Company paid Life Insurance 20 days of Paid Time Off annually 9 Paid company holidays 100% Paid Parental leave - 20 weeks for birthing mothers and 12 weeks for all other parents Summer Fridays early close at 3pm Fully stocked kitchen snacks with weekly fresh fruit Stackline is committed to creating a diverse environment and is proud to be an equal opportunity employer. We encourage applicants from all backgrounds to apply. All qualified applicants will receive consideration for employment without regard to race, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Mandatory Technical Skills: • Proficient in SAS/R • Proficient knowledge of TSQL • Proficient knowledge SSIS and ETL • Knowledge of SSRS and SSAS • Should be a developer proficient in TSQL, SSIS/ETL along with SAS • Should be proficient in programming (preferably in C#) • Working knowledge of Microsoft products and understanding of pivot tables and charts Desirable Technical Skills: • Good to have - Data exploratory skills including Pareto chart, histogram, summary statistics, percentiles, box and whisker plot, dot plot, pie chart, line graph • Good to have - Basic statistical understanding and usage of measures of centrality, measures of spread, and normal versus extreme values • PDW (Parallel Data Warehouse/ Microsoft Analytics Platform) experience (good to have) • COSMO, Hadoop, big data experience (good to have, but not necessary) Mandatory Functional Skills: • Ability to communicate clearly in writing and verbally • Willingness to work in team and to received directions • Must be able to meet and communicate with internal clients and data scientists • Gather data requirements from Data Scientists, extract data and represent it presentable formats/reports • Participate in meetings between team and client • Be able to deal with ambiguity and changes • Have strong collaboration skill - create a trusted and cooperative environment through open communication of ideas to achieve the team's goal • Have strong communication skill - ability to convey the right information and influence other towards desired action either verbally or by written means Desirable Functional Skills : • It will be a great plus if the candidate have worked with Microsoft in past Total Experience Required: 5+ Additional Information Job Status: permanent Position Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users. Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical techniques. You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series etc... Qualifications: PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains Telecom experience desired Distributed computing systems knowledge is a plus

Akkodis is seeking a Data Scientist for a Contract job with a client in Seattle, WA(Hybrid). Ideal candidates excel in end-to-end UX research and turn insights into action, while leading projects and championing user needs across teams. Rate Range: $53/hour to $68/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Scientist job responsibilities include: * Analyze large, complex datasets to extract actionable insights and trends. * Build, test, and deploy predictive models and machine learning algorithms. * Communicate data-driven findings clearly to stakeholders and non-technical teams. * Collaborate with cross-functional teams including engineering, product, and design. * Design and conduct experiments to validate hypotheses and optimize outcomes. Desired Qualifications: * Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field. * 8+ years of professional experience in data science or a related analytical role. * Proficiency in Python, R, or similar programming languages for data analysis. * Strong understanding of machine learning techniques and statistical modeling. * Experience with data visualization tools such as Tableau, Power BI, or similar. * Familiarity with big data technologies like Spark, Hadoop, or cloud platforms (AWS, GCP, Azure). * Excellent communication skills with the ability to translate complex data into business insights. 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 **************************** Pay Details: $53.00 to $68.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, 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. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* 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 Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.