Data scientist jobs in Seattle, WA - 853 jobs

**Job Description**As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world.UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty.**The Department of Medicine is seeking a highly skilled and experienced Biostatistician to join our team and serve as the Director of a new departmental Analytical Core.** The Department of Medicine is the largest department in the School of Medicine with over 3900 staff, faculty, trainees and students within eleven subspecialties divisions. Learn more about our department at . **ABOUT THE ROLE** The role of the Biostatistician and Director is to provide complex and critical consulting, leadership, statistical expertise, data analysis, and data interpretation services to advance and support the research community within the department and the university. The Biostatistician will have the opportunity to design and shape key processes and procedures in the Data Analytics Core. This position requires the ability to work independently, manage multiple overlapping data analysis projects, and communicate effectively with staff and faculty on a wide range of topics. Given the substantial volumes and diverse data types involved in these projects, fluency with various statistical/programming software is essential. There is a growing need for multifaceted centralized analytic support within the Department of Medicine and the UW and the Biostatistician contributes to the growth and success by executing the department's mission and vision. The goal of this position is to provide and create department-wide biostatistical support for faculty-initiated projects as part of the departmental Data Analytics Core team. This position requires accuracy, efficiency, flexibility, creativity, and a desire to serve multiple stakeholders, while working within UW regulations. We anticipate near term growth; thus, the incumbent would also be responsible for recruiting and onboarding additional master's level analysts and leading the project management across the team. The position reports to the Vice Chair of Research, and partners with multiple senior leaders in the department.**DUTIES AND RESPONSIBILITIES *Analytical = 75%**** Research and determine appropriate methodologic procedures for a range of statistical analyses, including biostatistics and bioinformatics.* Be able to perform multivariable statistical analyses using advanced analytic approaches.* Collaborate with individuals or interdisciplinary research teams on projects from inception through publication. Tasks may include assessing feasibility, developing objective(s), performing sample size and power calculations, generating and implementing randomization schema, and writing statistical sections of research protocols and manuscripts (e.g., statistical analysis plan).* Develop knowledge and skills in established and emerging analytical techniques.***Data Analytic Core Management = 25%**** Direct day-to-day operations of the Data Analytic Core, including triaging requests for data analysis and overall project management* Recruiting, onboarding, assigning projects, offboarding a team of data analysts.* Advertise and promote the Core to the faculty and trainees, and provide consultation for new data analytic requests* Work collaboratively across the Department and the School of Medicine to bring together a data analytic network* Partner with the Senior Director of Operations and the CFO to ensure projects are being charged out appropriately and that there is a financial sustainability plan.**MINIMUM REQUIREMENTS*** Doctoral Degree in Statistics, Biostatistics, Epidemiology or a related field and at least 2 years' related experience with progressive responsibility at a diverse, complex, multi-faceted organization.*Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.* **ADDITIONAL REQUIREMENTS*** Demonstrated dedication to equity, diversity and inclusion.* Demonstrated experience and advanced knowledge with SAS, R, Python, STATA, or other coding language and programming software.* Experience with federal grant submissions, including proposals to the NIH and DOD* Strong analytical communication, critical thinking and problem-solving skills.* Excellent time management skills and ability to prioritize projects.* Strong focus and quality and timely delivery of work.**DESIRED QUALIFICATIONS*** 7 years' related experience* Previous experience in a consultant-based model/shared service, research setting and/or medical setting.**WORKING ENVIRONMENTAL CONDITIONS** • In a deadline-driven environment, occasional evening or weekend hours may be required. #UWDeptMedicineJobs**Compensation, Benefits and Position Details****Pay Range Minimum:**$150,000.00 annual**Pay Range Maximum:**$185,904.00 annual**Other Compensation:**-**Benefits:**For information about benefits for this position, visit ********************************************************************* Shift (United States of America) This is a regular position**FTE (Full-Time Equivalent):**100.00%**Union/Bargaining Unit:**UAW Research**About the UW**Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world.UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.**Our Commitment**The University of Washington is proud to be an . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.To request disability accommodation in the application process, contact the Disability Services Office at ************ or dso@uw.edu.Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under .### BenefitsThere are many perks to working for the University of Washington. Learn more about the that could be available to you as a UW employee. #J-18808-Ljbffr

TikTok Global E-commerce Data Science team leverages rigorous data analysis and scientific methodologies to drive business growth, enhance operational efficiency, and improve the experience for users, merchants, and creators worldwide. The team conducts exploratory analyses and forward-looking insights to identify market trends and user/merchant/creator behavioral patterns, uncovering opportunities for optimization. We design and interpret A/B tests, apply causal inference methodology to support product iterations for both to C and to B products. We also build foundational data infrastructure and develop dashboards to empower product, operations, engineering, and cross-functional teams to monitor performance and identify areas for improvement. At TikTok, we champion a data science philosophy rooted in statistical rigor, data-driven decision-making, and scalable methodologies to support global e-commerce expansion. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Online Assessment Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities: * Conduct data analysis for TikTok's global e-commerce products, covering areas such as creators & merchants, content e-commerce, promotion tools, shoptap, and transaction flow; * Design and analyze A/B tests, evaluate product optimizations, analyze campaign performance, monitor key metric fluctuations, and assess client-side version updates; * Analyze country-specific factors influencing product optimization and business growth, and propose actionable product improvement solutions aligned with business direction; * Collaborate closely with product managers, operations, engineering, and algorithm teams to implement data-driven strategies and deliver measurable business impact; * Build and maintain e-commerce product metric systems, work with data engineering teams to construct foundational data pipelines and visual dashboards, and enable business stakeholders to gain actionable insights.Minimum Qualifications: * Currently pursuing a PhD in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines; * Proficient in data analysis tools and languages such as SQL, Python, or R; * Solid foundation in statistics, with hands-on experience in A/B testing, regression analysis, and causal inference; - Strong data visualization skills and ability to clearly communicate analytical insights through dashboards and reports; * Results-driven, highly self-motivated, and accountable; excellent team player with strong organizational and communication skills. Preferred Qualifications: * Currently pursuing a PhD in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines; * Experience in cross-border or international e-commerce data analysis or modeling; * Familiarity with machine learning frameworks or predictive modeling; hands-on experience with tools such as Scikit-learn, TensorFlow, or PyTorch; * Experience working with big data technologies such as Hive, Spark, or Hadoop; * Strong cross-functional communication skills. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

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.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $184,000 - $253,000 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $200,800 - $276,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

The application window is expected to close on: **Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received** . The application window is open until further notice. Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received. **Meet the Team** The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matter expertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devices at a global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems. Members have the opportunity to shape the culture and direction of this growing team. **Your Impact** As a Data Scientist you will design and develop methods and systems to consolidate, analyze, and derive insights from large, unstructured data sources. You will partner with product and service teams to identify key questions, develop algorithms and automated processes, and communicate findings to drive business and product enhancements. + Design, develop, and program processes and systems for consolidating and analyzing diverse "big data" sources to generate actionable insights. + Collaborate with product and service teams to identify analytical questions and conduct experiments. + Develop software programs, algorithms, and automated solutions to cleanse, integrate, and evaluate large datasets from multiple sources. + Interpret and communicate insights and findings from data analysis and experiments to technical and business stakeholders using strong data visualization skills. + Support the deployment of data science models into production and contribute to ongoing feature development and optimization. **Minimum Qualifications** + Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field. + 5+ years of experience working with large-scale data analysis or related field (or advanced degree with equivalent experience). + Proficiency in at least one programming language such as Python or R. + Experience with data cleansing, integration, and statistical analysis techniques. + Ability to communicate technical findings clearly to both technical and non-technical stakeholders. **Preferred Qualifications** + Master's or PhD in a relevant field (e.g., Data Science, Computer Science, Statistics). + Experience with advanced analytics tools and big data platforms (e.g., Spark, Hadoop). + Knowledge of machine learning, natural language processing (NLP), or related advanced science techniques. + Proven ability to develop strong data visualizations and present complex data insights effectively. + Experience contributing to patent applications, publications, or research projects. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $155,900.00 to $214,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

, 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

Galvanick protects the industrial world against cyber attacks. Our threat detection platform defends the modern world against criminals and nation-states that target Operational Technology (OT) systems and networks. This is a chance to work in a startup environment with driven individuals committed to solving cybersecurity's big problems. We are backed by Founders Fund, Village Global, MaC Venture Capital, and others. About the Role We are seeking a talented individual to join our team as a Data Scientist & Developer. You will embed within a team of cybersecurity domain experts and serve as a force multiplier for their analysis. Our product and vision is focused on securing the nation's infrastructure and delivering value. This is a chance to apply advanced analytics and software development skills to detect cyber threats targeting critical infrastructure. This is a hybrid position where you will apply strong data science skills while being hands-on with the code and contributing to our production codebase. The position is split between data science and development, requiring someone who can both analyze complex security datasets and build analytical tools and platforms to enable our detection engineering process. If you are passionate about reducing complexity and enjoy providing solutions for customers, we would love to hear from you. What You Will Do * Collaborate with Detection Engineers to understand detection requirements and translate them into data, data platform, and analytical tool requirements. * Develop tools and extend our data platform to meet those requirements. * Develop methods to evaluate detection accuracy and reduce false positives. * Develop data models that highlight behavioral patterns indicative of cyber threats in OT environments. * Perform exploratory data analysis on security events to uncover hidden relationships and attack patterns. * Generate metrics and KPIs that measure detection coverage and data utilization effectiveness. Advise on data pipeline improvements and new data source integrations. * Contribute to our library of reusable analytical patterns for detection engineering. * Contribute to core platform development including data infrastructure, processing pipelines, and system integration. Who You Are * Bachelor's degree in Computer Science, Data Science, Math, Engineering, or related field. * Strong programming skills and CS fundamentals. You have a good understanding of Python or Go. * Advanced database skills: schema design, query optimization, data modeling. * Experience with cloud platforms (AWS preferred). * Experience with data pipelines, ETL processes, and working with noisy data sets. Bonus Points * Startup experience with early stage teams. You thrive in ambiguity and understand the pace of change at a seed stage startup. * Comfortable taking risks and owning the accountability for managing them. You have a bias for action. Move fast with pragmatic decision-making. Ship iteratively over waiting for perfection. * Ability to communicate blockers and progress transparently. You take full ownership and initiative. You know how to identify problems and drive solutions independently. * You hold strong opinions on the best Mexican dining spots in the Seattle area while adhering to the clear and only authentic Italian option. Benefits We provide top-of-the-line medical/dental/vision for employees and dependents, and have additional benefits designed to optimize every team member's vitality, health, and wellness. Our compensation reflects the cost of labor across various geographic markets. The base pay for this position ranges from $100,000/year in our lowest geographic market up to $180,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Galvanick is an early stage startup and base salary is only one component of our compensation package. Depending on the position offered, equity may be provided as part of the compensation package, in addition to medical, financial, and/or other benefits. Location The Galvanick team is based in Seattle. Given that we are an early-stage startup working on an exceptionally hard problem, we expect new team members to be in office. We are happy to cover relocation expenses. ITAR Requirements To conform to US Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a US citizen, lawful permanent resident of the US, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the US Department of State. Learn more about the ITAR here.

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.

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.

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, Analytics (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:** $210,000/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.

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. Docker does not offer visa sponsorship for this role. 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 Remote-first culture, with offices in Seattle and Paris 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. #LI-REMOTE

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.

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.

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

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. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + 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, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#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: $104,000-$130,000 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. 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Mandatory Technical Skills: • Proficient in SAS/R • Proficient knowledge of TSQL • Proficient knowledge SSIS and ETL • Knowledge of SSRS and SSAS • Should be a developer proficient in TSQL, SSIS/ETL along with SAS • Should be proficient in programming (preferably in C#) • Working knowledge of Microsoft products and understanding of pivot tables and charts Desirable Technical Skills: • Good to have - Data exploratory skills including Pareto chart, histogram, summary statistics, percentiles, box and whisker plot, dot plot, pie chart, line graph • Good to have - Basic statistical understanding and usage of measures of centrality, measures of spread, and normal versus extreme values • PDW (Parallel Data Warehouse/ Microsoft Analytics Platform) experience (good to have) • COSMO, Hadoop, big data experience (good to have, but not necessary) Mandatory Functional Skills: • Ability to communicate clearly in writing and verbally • Willingness to work in team and to received directions • Must be able to meet and communicate with internal clients and data scientists • Gather data requirements from Data Scientists, extract data and represent it presentable formats/reports • Participate in meetings between team and client • Be able to deal with ambiguity and changes • Have strong collaboration skill - create a trusted and cooperative environment through open communication of ideas to achieve the team's goal • Have strong communication skill - ability to convey the right information and influence other towards desired action either verbally or by written means Desirable Functional Skills : • It will be a great plus if the candidate have worked with Microsoft in past Total Experience Required: 5+ Additional Information Job Status: permanent Position Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

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