Data scientist jobs in Kent, WA

Responsibilities Provide F-F support and mentoring for site users on Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic, AIP Agent Studio, etc. ad-hoc mentoring sessions with users Regular Office Hours for drop-in sessions (weekly) Regular Lunch n Learn (or similar) sessions (monthly) Coordinate with central teams on onsite training and hackathons Build and run campaign on targeted Palantir Applications to develop deep expertise at site (eg Workshop, AIP) Issue management: responsible for tracking and following up on site-specific Palantir support tickets through to resolution. Site testing: participate in Beta/Early Access testing for centrally developed Palantir Applications (or site applications promoted to central managed). Data quality management and governance: responsible for tracking and following up on Palantir Ontology/Dataset related issues raised at site but not addressed by regular Palantir support ticket. Liaise with central team for data editing permissions and data quality metrics/KPIs. Develop ‘site Palantir skills development plan' for the site; 12 month roadmap of departments/users for targeted skills development campaign. Includes understanding of current platform utilization and agree targets with site LT. R&D - develop documented and re-usable examples of how specific Palantir Applications could be useful for the site with actual data; site users can follow to build their own applications. Experience Expertise in key Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic and AIP Agent Studio. Expertise in the Palantir ecosystem: understanding role of Ontology, Datasets, code repositories and how permissions are managed in the platform. Knowledgeable in best practices for building and scaling applications developed in Palantir Foundry, including code repositories and branching. Useful: programming (Python and/or typescript, SQL) Useful: knowledge of the refining/downstream business Excellent soft skills - working with end-users and teaching small groups on technology

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

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

Staff Data Scientist - Global Operations Data Science We exist to wow our customers. We know we're doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. The Global Operation Tech (GOT) organization is responsible for the systems that enable Coupang to reliably deliver to customers within hours of orders being placed. GOT is on a mission to innovate logistics by building an efficient delivery network at breakthrough scale and speeds. As a Senior Staff Data Scientist in GOT, you will leverage advanced algorithms to improve Coupang's customer experience by ensuring ultra-fast deliveries are on time even during the busiest times of the year. We are looking for a Scientist that can drive the direction of technology across multiple teams, leverage deep industry knowledge and use statistical and machine learning techniques to bring value to customers. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects. Basic Qualifications Masters degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics or equivalent experience. 10+ years of experience in solving complex problems in the area of operations research and developing strategies for large-scale supply chain, transportation and logistic networks. Perform quantitative, economic, and numerical analysis of the performance of large-scale systems under uncertainty using statistical and optimization tools such as Python, R and Xpress/Gurobi/CPLEX/etc to determine optimal and heuristic solution strategies for optimization problems. Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, dynamic programming, network flows and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software. Excellent written and verbal communication skills while addressing both technical and business people; ability to speak at a level appropriate for the audience. The ideal candidate should be able to present business cases, and document models, analyses, and results to influence important decisions Proven ability to work effectively in a cross-functional team. Preferred Qualifications PhD degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. 10+ years of hands-on experience applying theoretical models in an applied environment. Experience in supply chains, transportation and logistics, and network optimization models. Proficiency in model development, model validation and model implementation for large-scale applications Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $159,000/year in our lowest geographic market to $324,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience Pay & Benefits General Description of All Benefits Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays Paid Parental leave Pre-tax commuter benefits General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at ************************ . Req #R0066088

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are looking for a seasoned Data Science expert to help build a world-class data science and analytics platform that supports and scales data-driven product decision-making. As a Staff Product Data Scientist, you will work closely with cross-functional partners to proactively define the product landscape, derive insights from data, communicate key findings to product executives, and directly contribute to product strategy building and implementation. You'll partner with Product, Design, and Engineering (PDE) to contribute directly to product development-shaping what we build, how we measure success, and when/how we iterate and improve. At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative. What you will be doing * Apply advanced data science techniques to analyze Slack product usage patterns, identifying what's working, what's not, and opportunities for improvement. * Conduct evidence-based evaluations to determine key drivers of Slack's product growth. * Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups. * Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success. * Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations. * Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels. What you should have * 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software. * A related technical degree required. * Expertise in at least one programming language for data science (e.g., Python, R). * Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus. * Strong communication skills. Able to translate complex technical results into clear, actionable insights. * Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels. * Experience designing and implementing advanced data models with scalability and efficiency. * Experienced in applying advanced quant measurement techniques in a product development environment. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $200,800 to $276,100. For Washington-based roles, the base salary hiring range for this position is $184,000 to $253,000. For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.

, Inc. Curative AI, Inc. is an ambitious innovative early-stage startup revolutionizing the healthcare industry through cutting-edge AI-powered SaaS solutions. We are currently delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry-transforming AI technology, intelligent automation, and deep data insights. Unlike most tech startups, we have achieved financial break-even within our first year, with signed customer contracts for $30+M in 2025 projected revenues through our AI healthcare solutions deliveries. Headquartered in Bellevue/Seattle, we have built a sizable top-notch tech team in the US, and a large talented offshore team. We now enter a rapid growth phase, hiring aggressively to scale the US-based team to 100+ employees in 2025. Our vision is bold: to achieve a valuation of over $1 billion within the next 18 months by continuing to deliver exceptional solutions and expanding our market presence. This is an exceptional opportunity to join an early-stage AI Healthcare tech company with a proven product, established customer base, solid revenue streams, and explosive growth potential. The Opportunity: Curative AI, Inc. is seeking a highly skilled and experienced Principal Data Scientist for our rapidly growing company. Our cutting-edge AI platform and tools will transform healthcare management, leading with RCM solutions for streamlined documentation, faster claims processing, enhanced clinical decision support, and much more. As a Senior Data Scientist, you'll play a crucial role in developing and implementing innovative AI solutions that address critical challenges in healthcare. You'll work closely with other data scientists, AI engineers, software engineers, and domain experts to design, build, and deploy machine learning models that improve patient outcomes, streamline healthcare processes, and ultimately, transform the way healthcare is delivered. You are humble, a dedicated team player, and excited for the road ahead. Come work with a CEO renowned in the AI field with a proven record of building high performing teams, fostering career growth, and creating a positive work culture. Let's make healthcare smarter together. Responsibilities: Lead a team of data scientists and analysts Define and execute data science and AI strategies aligned with business objectives Design, develop, and implement AI and machine learning models using statistical analysis and deep learning algorithms Collect, clean, pre-process, and analyze large and complex datasets from various sources Design and conduct experiments to validate and improve data-driven solutions Deploy and maintain AI models in production environments, ensuring scalability and reliability Integrate AI solutions with existing systems and applications Monitor model performance metrics and implement improvements as needed Collaborate with cross-functional teams to translate business needs into actionable insights Communicate insights and recommendations to stakeholders in a clear and concise manner Stay current with the latest advancements in AI and data science research and best practices Mentor and guide junior data scientists, AI engineers, and analysts Identify and evangelize new AI and data science opportunities within the organization Qualifications: Currently located in the Seattle Metro Region and able to work hybrid on-site a minimum of three days at our Bellevue location PhD or Master's degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related field 7+ years of experience in designing, developing, and deploying machine learning models and data science solutions Deep expertise in artificial intelligence (AI) technologies and applications; Natural Language Processing (NLP) and/or Large Language Models (LLM) highly desired Excellent understanding of statistical methods, machine learning algorithms, and AI principles (e.g., supervised learning, unsupervised learning, reinforcement learning) Strong programming skills in Python or other relevant programming languages Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn Experience with data analysis tools and techniques (e.g., Pandas, NumPy) Strong problem-solving and analytical skills Experience with distributed computing platforms such as Spark and Hadoop (a plus) Health care experience, notably experience with RCM solutions, highly desired Public cloud experience (AWS, GCP, and/or Azure) desired Experience with machine learning fairness and bias mitigation techniques desired Strong communication and collaboration skills Compensation and Benefits: Base Salary Range: $185,000 - $220,000 per year (commensurate with experience and qualifications) Target Annual Performance Bonus Equity Package: Generous equity participation in the company's future success Comprehensive benefits package including medical, dental, vision, life and AD&D insurance; 401K; paid time off and holidays Opportunity to work on cutting-edge AI projects and make an impact on the company's success Chance to make a real impact on the company's AI strategy and innovation Curative AI, Inc. is an Equal Opportunity Employer (EEO) and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, political affiliation, disability, genetic information (including family medical history), age, marital status, veteran status, or other non-merit-based factors. Curative AI, Inc. does not currently sponsor H1B visas and therefore candidates must be legally authorized to work for any employer in the United States on a full-time basis and not require current or future visa sponsorship for employment. Curative AI, Inc. is committed to creating a diverse and inclusive workforce. We value the unique perspectives and talents that each individual brings to our company, and we are committed to providing an environment where all employees feel respected, valued, and empowered to reach their full potential. We encourage qualified individuals from all backgrounds to apply for our open positions. #LI-HYBRID

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

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.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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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.

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.

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.

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.

Job Description Required Qualifications: Job Title: Senior Data Scientist Job Responsibilities: Hands-on developer in building models in complex data environments with unambiguous requirements and enjoys data. Advance causal inference techniques to improve outage predictions measurement, including uplift modeling, propensity scoring, and Bayesian methods. Develop forecasting models to predict outages performance, resource allocation impacts, and long-term customer impacts for operations teams. Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementally testing, to measure efficiency accurately. Optimize operational team decisioning, using reinforcement learning, Bayesian optimization, and econometric modeling. Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments. Required Qualifications: Bachelor's Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering, etc.) (Required) Master's/Advanced Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Preferred) Proven experience in Fault Prediction models, with a focus on attribution modeling, causal inference, and model mix optimization. Strong background in machine learning, fault metrics, and statistical modeling RAN applications. Expertise in Python, SQL, and cloud platforms (Azure, Snowflake, Databricks) for scalable modeling and data processing. Experience with experimental design and incrementality testing in telecom RAN networking subject areas. Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions Powered by JazzHR rVIbJYYB0f

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.