Data scientist jobs in Redmond, WA

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

Join Apple Maps, where our mission is to build the best map in the world. As a Data Scientist in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to inform critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you'll have runway to own significant projects, make a tangible impact, and contribute your unique perspective to a team committed to creating something truly wonderful. We are seeking a talented and experienced Data Scientist to join our cross-functional team dedicated to understanding and optimizing user engagement, retention, and growth within Apple Maps. You will partner closely with Product and Program teams, leveraging data to inform strategic direction and prioritization. This role offers significant scope to define and build the next generation of metrics and analytical frameworks. We're looking for a creative problem-solver who can innovate within our robust privacy commitments, evolving our current metrics foundation into a comprehensive insights platform. Your day-to-day responsibilities will span the full data lifecycle, from exploratory data analysis and metrics design to conducting deep dives, crafting executive reports and presentations, and building intuitive dashboards. Prior industry experience with user engagement analytics and/or causal inference Prior proven industry experience with large data sets using technologies like Hadoop and Spark Experience writing pipelines for automating analytics tasks at scale Experience working in highly cross-functional teams Experience leading projects of varying sizes and scopes MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain 2+ years experience with data analysis at web scale or relevant work experience Proficient in Python Proficient in at least one database language (e.g., SQL, Snowflake) Strong communication and presentation skills

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.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO * Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. * Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. * Define and evaluate key metrics in various product areas. * Deliver data insights and provide data-driven recommendations to cross-team stakeholders. * Design and analyze A/B tests for machine learning algorithm iterations. * Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. * Mentor team members and support their technical growth. WHAT TO BRING * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field * At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. * Solid knowledge of data science and statistics. Strong communication skills and business acumen. * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. * Passionate about technology and experienced in building data-driven services and applications. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * Experience in digital video advertising or digital marketing domain * Experience with machine learning models. * Experience with Airflow, data warehouse, Databricks or Sagemaker #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

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.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management. Job Responsibilities * Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues * Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities * Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Basic Qualifications * 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R) * 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) * Experience designing, analysis, and refining experiments * Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics * Intellectual curiosity and drive, decisiveness, ambiguity and complexity * Bachelor's degree required Preferred Qualifications * Insurance industry experience * Master's degree, or Advanced technical degree * Experience with predictive modeling, machine learning, and experimentation/causal inference methods * Experience of data modeling and data pipeline design Annual Salary $115,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. * Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. * Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. * Access to additional benefits like mental healthcare as well as fertility and adoption assistance. * Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Summation is building the future of business planning and analytics by bridging the gap between data and decision-making. We empower organizations to transform complex data into clear, actionable insights that drive business outcomes. Our AI-native platform integrates advanced data models with intuitive workflows, making enterprise performance management simple, collaborative, and effective. The Role We're looking for Forward Deployed Data Scientists to work directly with our enterprise clients: understanding their business, wrangling their data, and building the systems that let them actually run their business with data. This is hands-on, high-impact work. You'll be embedded with enterprise clients, helping them go from "our data is a mess and everything lives in spreadsheets" to "we have systems that actually let us run the business." The interesting part isn't just solving one client's problem-it's figuring out how to solve it in a way that's repeatable, scalable, and increasingly automated. The work involves SQL and Python, but the real job is architecting processes that work. You're not just writing queries-you're building the systems and workflows that let us (and AI) do this work faster and more reliably for every client that comes after. What You'll Do Client Work Work directly with client finance, analytics, and operations teams to understand their data and what they're trying to accomplish Translate undocumented schemas and fragmented datasets into clean, structured data-and do it in a way that's repeatable with AI, not just a one-off Build the analytical foundation that lets clients actually run their business with data (resource allocation, scenario planning, business reviews that produce decisions, not just slides) Apply statistical methods and modeling to answer business questions and validate that the systems are working Building for Scale As you solve problems for specific clients, extract reusable patterns and components. Your work compounds: the systems you build for one client become the starting point for the next five. Help build the playbook and tooling that lets us onboard future clients faster Contribute to our understanding of how to teach AI to do more of this work autonomously Develop forecasting models and optimization systems that generalize across clients Working with AI Supervise teams of AI-powered agents to do data science work at scale-think of yourself as managing a squad of fast, capable (but imperfect) junior analysts Re-engineer how data work gets done: what used to take two weeks should take two days, and what took two days should be automatic Build the sanity checks and feedback loops that let you trust AI outputs-if something's off, you should know immediately Continuously improve our workflows-kaizen for the AI era. Figure out what the AI can't do yet, teach it, and iterate Who You Are Must-haves Strong SQL and data fundamentals. You can write complex queries, design schemas, and debug data issues. But more importantly, you understand data well enough to architect processes around it-not just execute tasks. Production mindset. You don't just hand off a Jupyter notebook; you build systems that run reliably long after you've left the room. Python and statistical fluency. You're comfortable with the modern data science stack and can apply statistical methods to real problems. You understand when a simple heuristic beats a complex model. Experience with data modeling and financial/business metrics. You've built KPIs, dashboards, business reviews, or similar. You understand what a P&L is and aren't scared of accounting concepts like journal entries and allocations. Product and business intuition. You can look at a business problem and figure out what needs to be built, not just how to build the schema. You could probably be a PM or a BizOps lead, but you chose to be technical because you like building things that work. Comfort with ambiguity and client-facing work. You can talk to a VP of Finance, understand their problem, and translate it into a data solution. You don't need everything defined before you start. AI fluency. You understand how to supervise AI-setting up feedback loops, verifying outputs, knowing when to trust it and when to dig in yourself. High ownership and motivation. We care more about your drive than your pedigree. Performance = motivation × capability, and if you're motivated, you'll acquire whatever capabilities you're missing. Nice-to-haves Experience at a growth-stage startup where you had to scale operations, build from scratch, or wear multiple hats Familiarity with dbt, Snowflake, Airflow, or similar modern data stack tools Prior work on pricing, marketplace dynamics, financial reporting, or resource allocation problems Experience with forecasting, optimization, or reinforcement learning concepts (we're building systems that help businesses allocate resources dynamically) Experimentation and causal inference background-A/B tests, pricing experiments, propensity matching. Knowing how to measure the impact of interventions, not just describe correlations. Bayesian thinking-comfort with uncertainty, updating beliefs with data, and building models that reflect how the world actually works What we're not looking for Black-box ML practitioners who want to throw data at neural nets without understanding the business problem. We value interpretable models and knowing why something works. People who need extensive structure or management. We're a small team; you'll have a lot of autonomy and responsibility. Anyone uncomfortable with the pace of change in AI. The tools are evolving fast, and so is how we work. What We Offer Competitive salary and equity options Remote-friendly with expectation of monthly travel to Bellevue and periodic client visits Flexible (Unlimited) Paid Time Off Medical, Dental, and Vision benefits for you and your family 401(k) Plan Parental Leave Opportunities for growth and career development

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

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.

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.

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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent * 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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.

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

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

Apply knowledge of advanced analytic algorithms and technologies (e.g., machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drive productivity. Use in-depth knowledge of the data science and AI landscape and hands-on expertise to implement solutions in production environments Shape advanced conceptual thinking to solve complex or novel situations that have never been dealt with before Select and use the appropriate statistical tests and machine learning methods to examine business hypotheses Create and mine datasets in Google BigQuery and other company data sources to support analyses Work with stakeholders in the organization to identify opportunities for leveraging analysis that drives business solutions Explore new technologies to enhance the Data and Analytics team's data ecosystem Aid in the development of best practices used in business metrics analysis Support process improvement discussions with stakeholders informed by analytical insights Participate in business partner-facing presentations and meetings as needed Support a team of analysts in maintaining the data quality and governance of new and existing data sources and pipelines Qualifications Bachelor's / Master's degree / Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience. Typically, 3+ years of relevant experience and/or certification in a related field of study or an equivalent combination of education and experience. Experience in data-driven insight development and decision making. In-depth experience using machine learning algorithms. Strong coding skills. Experience with deploying models into production with formal MLOps frameworks. Experience with distributed computing languages (e.g., Hive / Hadoop/ Spark) & cloud technologies (e.g., AWS Sagemaker, AzureML). Experience with programming languages (e.g., SQL, Python, R, SAS, SPSS, Perl) and machine learning /deep learning algorithms/packages (e.g., XGBoost, H2O, SparkML, Huggingface). Collaboration & team skills; with a focus on cross-group collaboration Additional Information All your information will be kept confidential according to EEO guidelines.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Docker is seeking a Data Scientist to join our Data Insights team. You will be a key individual contributor, applying statistical rigor and advanced analytical techniques to extract value from our product and business data. This role requires a strong understanding of product usage to provide actionable insights that drive business strategy and feature development. This is a hands-on analytical role focused on independent execution, deep-dive analysis, and translating complex data into clear business recommendations. You'll work closely with Product Managers, Executive Leaders, and Engineering teams to define key metrics, measure product health, and inform data-driven decisions. Success in this role requires a strong foundation in statistics, advanced SQL skills, and proven experience in product experimentation and reporting for a technical audience. Responsibilities Product Analytics & Experimentation Understand detailed usage of Docker products by analyzing user behavior data, translating complex questions into analytical plans, and building robust product metrics. Run and measure product experiments (A/B tests) from design through interpretation, clearly articulating results and recommendations to stakeholders. Develop and maintain key performance indicators (KPIs) and operational metrics for product features and overall business health. Strategic Insights & Reporting Provide actionable insights for Product Managers on user engagement, feature adoption, and growth opportunities to directly inform the product roadmap. Build deep dive reports for Executive Leaders on critical business trends and the performance of strategic initiatives, presenting findings in a clear, compelling narrative. Collaborate with engineering teams on data logging, instrumentation, and ensuring the accuracy of product data pipelines. Technical Execution & Modeling Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation, propensity modeling). Design and implement data visualizations and self-service dashboards to democratize data access across the organization. Ensure data quality and integrity for all analytical outputs and reports. Collaboration & Communication Partner with cross-functional teams (Product, Engineering, Marketing, Sales) to define data requirements and analytical objectives. Mentor junior analysts on best practices for data visualization, statistical analysis, and clear communication of results. QualificationsRequired: Technical Expertise 3+ years of experience in a Data Scientist or Product Analyst role, preferably within a technology or SaaS company. Expert proficiency in SQL for complex data extraction and manipulation. Strong proficiency in a statistical programming language (Python or R), including libraries for data manipulation, analysis, and statistical modeling. Proven experience designing, launching, and analyzing A/B tests or other product experiments. Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and data visualization tools (e.g., Sigma, Tableau, Looker). Analytical & Statistical Foundations Advanced knowledge of statistical methods (regression, hypothesis testing, time series analysis) and their application to business problems. Demonstrated ability to translate open-ended business questions into structured analytical projects and deliverables. Communication & Leadership Excellent verbal and written communication skills, with the ability to present complex analytical findings to both technical and executive audiences. Demonstrated ability to work independently and drive projects from conception to completion with minimal supervision. Preferred: Experience analyzing data related to developer tools or B2B SaaS products. Advanced degree (M.S. or Ph.D.) in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics. Knowledge of container technologies (Docker, Kubernetes). Key Success Metrics Impact of actionable insights on product feature adoption and business revenue. Quality and clarity of executive-level deep-dive reports. Successful design and interpretation of product experiments. Demonstrated independence in driving analytical projects. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE

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.

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing * Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. * Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. * Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. * Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. * Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. * Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences * 8+ years of experience in Data Science, Applied Science, or a related quantitative field. * Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). * Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. * Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). * Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.