Data scientist jobs in Prunedale, CA

Company Introduction We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Our Analytics team has a mission to power the growth of Coupang through data-driven insights. We are a team of creative problem solvers with a passion to deliver innovative business solutions. The team leverages big data to empower business decisions and deliver insights, metrics and tools in order to drive customer engagement, retention and business growth. As the growth engine within one of the largest and fastest growing e-commerce platforms on the planet, Coupang's analytics team offers countless ways for an ambitious data scientist to make an impact. Key Responsibilities Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production. Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving. Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or marketing efforts. Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive customer engagement and retention. Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business insights. Design and analyze experiments to test new product ideas or marketing strategies. Convert the results into actionable recommendations. Craft compelling stories; make logical recommendations; drive informed actions. Communicate findings to senior leaders and evangelize data-driven business decisions Basic Qualifications Master's degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields; 6+ years of work experience involving quantitative data analysis and machine learning models projects. Programming language required including python, R, spark Database experience with advanced SQL or SQL-like skills (Hadoop-Hive); experience researching and manipulating complex and large datasets; 6+ years working experience in the engineering teams that build large-scale ML-driven user-facing products Experience with state of the art ML modeling techniques and approaches Hands-on experience training and applying models at scale. Ability to communicate information effectively to a variety of groups at different levels. Willingness to dig-in and understand the data and to leverage creative thinking and problem-solving skills are absolute musts. Self-starter who takes the initiative to get things done. Outstanding team player with a customer-back mindset Preferred Qualifications Experience with manipulating massive-scale customer and clickstream data. Experience with causal inference and causal ML. Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc. Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives Experience in working on, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work. Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $138,000/year in our lowest geographic market to $309,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Paid Holidays XX weeks of Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: **************************************** Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at ************************ . Job Requisition ID: R0061969

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK™ Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES Business Partnership & Consulting Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. Experience advising, presenting to, and serving as a thought partner to senior executives. Analytics & Insights Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). Translate complex data into clear, actionable insights with strong storytelling and visualization. Deliver executive-ready materials that connect people data to business outcomes. Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. Advanced People Analytics Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. Strategy & Enablement Guide stakeholders in building a data-driven culture within HR and across the business. Drive adoption of self-service analytics platforms and democratize access to people insights. Qualifications REQUIRED Education & Experience Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS Technical Skills Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). Advanced Excel, SQL, or Python/R for data analysis preferred. Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. Business & Consulting Skills Exceptional ability to translate data into business insights and recommendations. Strong stakeholder management, influencing, and storytelling skills. Experience in partnering with senior leaders to drive data-informed decisions Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the " Know Your Rights: Workplace Discrimination is Illegal ” poster. Our pay transparency policy is available here . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 12/2/2025 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI- VV1 Compensation & Benefits Details An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. You will be eligible to be considered for bonuses under either Western Digital's Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email [email protected] .

We are seeking a highly skilled Staff Data Scientist to join our Product Workload & Efficiency Engineering team. This role will focus on leveraging advanced data science techniques to drive insights, optimize product workloads, and enhance infrastructure efficiency. The ideal candidate is a strategic thinker with a strong technical background, exceptional communication skills, and a proven track record of delivering data-driven solutions in a fast-paced environment. Responsibilities Partner with product, engineering, finance, sales, and customer success teams to model and forecast product workloads, define metrics, and build tools for planning. Design experiments and studies to reduce uncertainty in workload forecasts and optimize product/revenue flows. Analyze data to address business questions, generate insights using statistical methods, and present findings to stakeholders. Architect data models, pipelines, and applications to support workload data, finance and infrastructure teams. Develop and productionize metrics and dashboards for system availability, reliability, and performance. Conduct root cause and causal inference analyses of availability issues, recommending remediations. Shape data science areas like segmentation, recommendation systems, forecasting, and cost prediction. Analyze product usage to identify growth drivers and improvement opportunities. Manage stakeholders, define project OKRs, and communicate results effectively. Mentor team members and champion evidence-based decision-making with self-service data products. Represent data science across the organization and at conferences. Minimum Requirements Bachelor's or higher in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering). 8 -10+ years in analytics driving business decisions (e.g., product/marketing analytics, business intelligence). Proven ability to work independently and engage stakeholders proactively. Expertise in SQL, large datasets (e.g., Hadoop), statistical analysis, and techniques like regression. Experience with optimized data formats for analytics, such as Parquet, and potentially Apache Iceberg. Expertise in defining schemas, managing metadata, and crawling data sources. Proficiency in writing complex SQL queries to analyze data stored in S3-based data lakes. Integrate dbt with orchestration tools like Apache Airflow to automate, schedule, and monitor data pipelines that feed machine learning models. Proficiency in Python and strong communication skills. Ideal: 7+ years in data science/ML in high-growth tech; expertise in system reliability metrics, data pipelines (e.g., Airflow, Spark); familiarity with product analytics; strong coding (e.g., Python) and cross-functional collaboration skills; BS/MS/Ph.D. in quantitative field. Join us to drive innovation and impact through data science! The US base salary range for this full-time position is $190,000-$230,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

At Nauto you can make an impact at a high-impact company. We believe technology can help prevent collisions and save lives with predictive-AI that detects driver state and vehicle surroundings in real-time. More than 90% of car crashes can be attributed to human error. Nauto technology is designed to predict risk and alerts the driver with advance warning to help prevent collisions, improve driver safety, and save lives. Our customers and prospects include many of the largest commercial fleets in the world along with vehicle manufacturers (OEMs), insurance providers, and autonomous vehicle companies. The company is backed by Greylock Partners, BMW iVentures, General Motors Ventures, Toyota AI Ventures, and SoftBank, and is well-positioned for continued growth. Position Overview We are seeking a highly experienced and strategic Senior Staff Data Scientist to lead high-impact initiatives that drive measurable business value. In this role, you will be a key driver of data innovation, mentor other data scientists, and collaborate cross-functionally with Product, Engineering, and Business leaders to inform decision-making and product development. You will be responsible for designing and deploying cutting-edge machine learning models that analyze vision & sensor data, leading analytical initiatives, and shaping the long-term data science strategy. Your work will directly impact driver behavior, vehicle performance, and operational safety across tens of thousands of commercial fleets. Key Qualifications M.Sc. required, Ph.D. a plus in Computer Science, Statistics, Math, Physics or similarly quantitative-heavy field At least 5+ years of related industry experience Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling Experience working with large-scale datasets with solid understanding of data processing, feature engineering, and data visualization techniques Practical experience with data science and machine learning methods, common cloud-based data analysis tools and frameworks (Spark, SQL, Pandas, Python, R, AWS, GCP, PySpark, scikit-learn, OpenCV, etc). Embraces scientifically rigorous mindset to algorithm development based on well designed experiments using real-world data to evaluate, validate and iterate Strong communication and presentation skills, with the ability to effectively convey technical information to internal and external audiences. Leadership experience is a plus. Start-up experience a plus. Key Responsibilities Design, build and deploy solutions to challenging problems leveraging access to vast real-world data Create large datasets to discover insights helpful in developing new approaches and algorithms to advance the state of the art in transportation safety Collaborate with multiple teams (Product, Perception, Device Engineering, Customer Success) to identify and clarify business or product questions, to answer and provide feedback, and to translate and refine business questions into tractable analysis, evaluation metrics or mathematical models. Location: San Francisco Bay Area (Hybrid) Perks Ground floor opportunity with the team; shape the strategic direction of the company The rare opportunity to change the world such that everyone around you is using the product you built to get around safely. We're not just another app, we're moving real people and goods and helping to reinvent transportation and logistics Sharp, motivated co-workers We also have all the best benefits, including: Comprehensive Benefits Program; Healthcare Spending Accounts (FSA, HSA) & 401(k) Generous Equity Program Pre-tax Commuter Program Flexible Work Environment Up to 20 Weeks of Parental Leave Flexible, Unlimited PTO The US base salary range for this full-time position is $180,000 - $235,000.00 . Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US, remote locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and/or training. Your recruiter can share more about the specific salary range for your work location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits. We are committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination.

Job Description Join the Team That's Redefining Wireless Technology At Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible. We're looking for an exceptional Principal Data Scientist to join our team and drive innovation through advanced analytics and machine learning. In this lead role, you will shape our data science strategy, mentor talented team members, and deliver high-impact solutions that transform how we leverage data to achieve business objectives. What You'll Do: Lead end-to-end data science projects from problem formulation through model development, deployment, and monitoring in production environments. Design and implement advanced machine learning algorithms, statistical models, and AI solutions that drive business value. Provide technical leadership and mentorship to junior data scientists and data engineers, fostering a culture of excellence and continuous learning. Partner with engineering teams to architect scalable data pipelines and ML infrastructure. Establish best practices for experimentation, model training, model evaluation, and monitoring. Stay current with the latest advancements in data science, machine learning, and artificial intelligence. Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to identify and address key business challenges. Present findings and recommendations to senior leadership and other stakeholders. What You'll Need: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. 10+ years of experience in data science or a related field (at least the last 5 years in data science), with a proven track record of leading impactful projects that achieve clear customer outcomes through product delivery. Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, computer vision, or reinforcement learning Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn) Proficiency in SQL and experience working with large-scale datasets and distributed computing frameworks (Spark, Dask) Demonstrated experience deploying models to production and monitoring model performance Demonstrated cross-functional experience with diverse teams across the organization Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences Strong business acumen and ability to connect data science work to organizational objectives Experience mentoring and developing junior team members Bonus Points For: Experience in cloud platforms (AWS, GCP, Azure) and MLOps practices Track record of publishing research or contributing to open-source projects Experience with A/B testing and causal inference methodologies Knowledge of data engineering principles and ETL processes Leadership experience in managing or leading data science teams What we offer: We don't just build next-gen wireless technology - we build people. The salary range for this position is: $200,000 to $260,000 Compensation will be determined based on several factors including, but not limited to: skill set, years of experience and the employee's geographic location. Tarana provides competitive benefits to employees in this role including: Medical, dental and vision benefits, 401K match, flexible time off and stock option. Join Tarana and help shape the future of wireless connectivity. About Us Tarana's mission is to accelerate the deployment of fast, affordable, and reliable internet access around the world. Through a decade of R&D and over $400M of investment, the Tarana team has created and continues to enhance a suite of next-generation fixed wireless access (ng FWA) technologies. Its unique ng FWA platform delivers game-changing advances in broadband economics in mainstream and underserved markets, using both licensed and unlicensed spectrum. Tarana's ng FWA technology has been embraced by more than 300 service providers in 24 countries. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Learn more at *********************** Powered by JazzHR n6LRsnB45u

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product Development organization. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success. If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of making conversations more valuable. Your Impact * Collaborate with Product teams to understand business objectives and challenges, translating them into data-driven insights and recommendations. * Develop and implement predictive models, analytical tools, and methodologies to analyze product usage and customer behaviors. * Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies. * Design and Execute experiments to test hypotheses and measure the effectiveness of various features, product experiences and strategies. * Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation. * Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company's Product roadmaps. * Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes. * Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're Looking for Someone Who * 3+ years as a Data Scientist, in a software technology or AI-driven company. * Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization. * Strong background in data analysis, statistical modeling, and other data science techniques. * Familiarity with B2B SaaS business models. * Excellent ability to translate complex findings into actionable insights for non-technical stakeholders. * Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously. * Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment. About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact *********** at least 3 business days before your interview. * Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $155,000 to $185,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package. #LI-Hybrid

Fullpower -AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services. Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes. The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications. Job Responsibilities: Work with health data and time-series sensor data Connect biomedical sensor data with medical, health, and fitness outcomes Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking Develop visualizations and tools for understanding and annotating data Optimize algorithms for running on embedded devices and in the cloud Design and run experiments and clinical trials Processing, cleaning, and combining different data sources to create new datasets Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions Software skills: Expertise in Python and packages such as numpy, pandas, scikit-learn Experience with a deep learning framework such as Tensorflow, py Torch, or equivalent Experience working with databases including familiarity with SQL Experience with Amazon Web Services (AWS) or Google Cloud Experience with C++ is a plus Leadership qualities: Self starter Strong interpersonal and communication skills Education and Experience: Experience applying data science and machine learning to real-world problems Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent Graduate degree and/or 5+ years experience a plus Additional Information: Fullpower does not sponsor work visas - must already be authorized to work in the United States The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.

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

About Us At MAI (pronounced “my”), we're on a mission to democratize advanced advertising technology. We believe that cutting-edge marketing tools, once exclusive to large enterprises with massive budgets, should be accessible to everyone. Our platform uses AI agents to automate and optimize performance marketing, empowering small and mid-sized businesses to scale their ad spend profitably without the need for an agency or endless hours of manual campaign management. Founded by ad platform veterans from Google and Instacart, we've successfully raised a $25 million Seed funding round led by Kleiner Perkins to accelerate our growth. This capital will be used to expand our product and engineering teams, bringing our vision of intelligent, autonomous marketing to life. Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend. Our client waitlist is growing by the day and we couldn't be more excited about building the future of growth marketing. Why Join Now You won't just be a cog in a large machine. You'll be an athlete on a small, focused team with immense impact and the ability to shape the future of our company. You'll have the unique chance to learn and grow your skillset. We encourage you to lean on your specializations while taking on new projects you've never done before, learning from your peers and becoming more well-rounded in your career. What You'll Do Become a Marketing Strategist: You'll dive deep into vast marketing datasets to uncover the "why" behind performance. You'll collaborate closely with our Machine Learning and Operations teams to translate your analytical insights into novel strategies that our AI agents will execute autonomously. Teach Our AI to Answer Questions: You will be a key architect of our analytics agent's "brain". This involves deep work in context engineering-crafting prompts, designing semantic data layers, building robust data pipelines, and developing evaluation frameworks to ensure our agent provides accurate, insightful answers to our customers' toughest data questions. Build the Data Foundation for Intelligence: You'll take ownership of the data that fuels our agents. You will wrangle messy, multi-platform data into a pristine and powerful asset. More importantly, you'll enrich our agents' capabilities by creating critical tools and signals, such as user funnel models, lifetime value (LTV) predictions, and marketing mix forecasts. Shape the Future of an AI-Native Product: You will partner directly with our Product and Engineering teams to see your work come to life. Your analysis and models will directly influence the product roadmap, solve real customer problems, and deliver tangible value. What You'll Bring A PhD or Master's degree in a quantitative field (e.g., Statistics, Data Science, Math, Computer Science), OR a Bachelor's degree with 2+ years of relevant industry experience. Strong statistical and experimental design skills (A/B testing, regression, causal methods) Proficiency in SQL and Python (or R) for data analysis, modeling, and visualization Experience with BI tools (Tableau, Looker, Power BI) and modern data stacks (BigQuery, Snowflake, dbt) Deep understanding of marketing measurement: funnels, attribution, MMM, incrementality Ability to translate complex analyses into clear, actionable marketing insights Excellent communication and cross-functional collaboration skills (Nice-to-have) ML for marketing: propensity/LTV modeling, causal ML, budget optimization Why You'll Love Working at MAI Unparalleled Learning: You'll be at the forefront working with a world-class team. High Impact: As an early member of a lean and powerful team, your work will directly shape our core platform, data insights, our culture, and the success of our customers. A Culture of Curiosity: We're a tight-knit team of passionate builders who value transparency, first-principles thinking, and a relentless drive to solve hard problems together. True Ownership: We believe in empowering our team. You'll have significant autonomy over your work and a clear path for growth as the company scales. Compensation and Benefits We're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally: Salary: Depending on your years of experience, a base salary range of $160,000 to $225,000. Equity: We want you to feel invested in our mission, which is why we offer meaningful equity. Health and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family. 401(k): We'll help you build for your future with a competitive 401(k) program. Are you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.

Data Scientist Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. - Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field. - Programming skills in one of the following languages: Java, Scala, C/C++. - Knowledge of one of the scripting languages such as Python or Perl. - Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R. - Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). - Working knowledge of Relational Data Base Systems and SQL. - Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set. - Excellent communications and organizational skills - Prior experience in this area with eCommerce or Online Retail would be a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days. WeRide.ai Silicon Valley team is looking for an experienced and innovative data scientist for its growing metrics team to support the development and validation of both L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems. The level depends on the candidate's experience and qualification. The metrics team is at the forefront of accelerating the development and deployment of cutting-edge ADAS/AV technologies. As a Senior Data Scientist on this team, you will play a pivotal role in ensuring the safety, reliability, and efficiency of our autonomous systems. You will be responsible for developing and implementing rigorous evaluation frameworks and advanced statistical methodologies to assess overall system performance, as well as the performance of critical sub-systems across software releases, and different territories. Your work will directly inform crucial engineering decisions, guide iterative improvements, and contribute to the successful commercialization of our ADAS/AV stack. What You Will Do: * Develop Rigorous Evaluation Frameworks: Design, develop, and implement advanced statistical frameworks for the comprehensive evaluation of ADAS/AV system performance, with a strong emphasis on safety, compliance, and progress metrics. * Define and Monitor System Performance: Define, measure, and monitor key performance indicators (KPIs) for the overall ADAS/AV system. Develop automated data pipelines and reporting mechanisms to track these metrics across software releases. * Evaluate Sub-system Performance: Define and implement metrics to evaluate the performance of individual sub-systems. Utilize these metrics to provide actionable insights that guide and accelerate sub-system development and improvement. * Statistical Analysis and Experimentation: Apply advanced statistical techniques, including hypothesis testing, experimental design, and causal inference, to analyze complex behavioral data and derive robust insights into system performance and regressions between releases. * Partner with Engineering Teams: Collaborate closely with Simulation, Systems Engineering, Product, and Software Development teams to integrate evaluation insights into the development lifecycle, inform release readiness, and ensure alignment on performance targets. * Technical Leadership and Mentorship: Provide technical leadership on complex data science problems, champion best practices in data analysis and statistical rigor, and mentor junior data scientists within the team. * Data Visualization and Communication: Create compelling data visualizations and communicate complex analytical findings clearly and concisely to diverse audiences, ranging from technical engineers to senior leadership. Requirements: * Quantitative Degree: Master's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. * Extensive Industry Experience: 3+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models. * Advanced Statistical Expertise: Deep expertise in advanced statistical methods and their application in real-world settings, including experimental design, hypothesis testing, regression analysis, causal inference and time series analysis, etc. * Technical Problem Formulation: Proven ability to translate ambiguous real-world challenges into clearly defined data science problems, identify appropriate methodologies, and deliver effective solutions. * Data Manipulation and Analysis: Proficiency in using programming languages (e.g., Python, R) and SQL for data extraction, manipulation, and analysis. * Communication: Excellent verbal and written communication skills, with the ability to tailor technical explanations to various stakeholders. * Flexibility: Ability to collaborate effectively with teams in different time zones. Preferred Qualifications: * PhD degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. * 5+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models. * Experience with large-scale evaluation frameworks for complex software systems, particularly in autonomous driving or robotics. * Familiarity with ADAS/AV system architectures and the behavioral challenges inherent in autonomous driving. * Knowledge of simulation platforms and their role in data generation and system evaluation. Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. WeRide.ai offers competitive salary depending on the experience. Employee benefits include: Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays 401K plan 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.

About the Team Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale. About the Role As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology. What You'll Do * Partner with product, engineering, and UX to develop data-driven product strategies * Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights * Develop and implement novel, goal-oriented metrics * Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience * Communicate findings & recommendations to stakeholders, including executives * Champion data-driven culture by feeding user engagement insights back into models * Collaborate with the GenAI team on model quality and feature adoption * Act as a technical leader for the local team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work [For L6 only] What We're Looking For * A bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge. * Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems. * Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R. * Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions. * A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption. * A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information. Why You'll Love Working Here * Impact: You'll have a direct and meaningful impact on a product designed to empower billions of people and be one of the greatest forces for good in the world. * Growth: We're a fast-growing team within Google, and you'll have the opportunity to evolve quickly to meet changing user needs. * Team & Culture: You'll work with a talented and passionate team of people who are excited about what they do and have fun doing it. The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you. Job Description In this role, you will be part of a brand new, trend setting Cognitive Intelligence team which is applying Machine learning and AI to solve complex, business critical problems in the financial services industries. This position within the Cognitive Intelligence team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product, and business. As a real-time transactional intelligence service, our solutions have to be scalable, secure, efficient, and extremely fault-tolerant. A successful candidate will bring: deep technical and software expertise; ability to define visionary, ground breaking products; desire to have an industry-wide impact; and an ability to work within a fast moving, startup environment to rapidly deliver services that drive broad business impact. Responsibilities: Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models. Present exploratory findings to both, technical and management teams, verbally and in writing. Partner with Product and Engineering teams to explore new opportunities. Engage in collaborating across team members to meet research and product goals. Influence product features and product roadmap through exploratory analysis. Qualifications Minimum qualifications: PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. Strong knowledge of mathematics. Strong knowledge of machine learning and statistics. Strong knowledge of designing algorithms. Some experience in Python and Tensorflow. Preferred qualifications: Strong knowledge of deep learning. Strong knowledge of reinforcement learning. Strong experience in Tensorflow or similar frameworks. Working experience in C++. Additional Information All your information will be kept confidential according to EEO guidelines.

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 1-3 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. ● Bachelor's/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience ● Experience using statistics and data science (machine learning & AI) to solve complex business problems ● Proficiency in SQL, Python, AWS, Excel including key data science libraries ● Proficiency in data visualization including Tableau ● Experience working with large datasets ● Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. ● Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes ● Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. ● Desirable to have experience or aptitude solving problems related to risk using data science and analytics ● Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology. In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded. Job Description We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate business objectives into actionable data analysis and communicate findings clearly to technical and non-technical audiences. Qualifications Responsibilities: • Searching for data sets matching data analytics requirements; • Applying transformations to cleanse and shape data set prior to analysis; • Performing exploratory data analysis; • Applying techniques for selecting representative data set features ; • Defining the most suitable machine learning method based on data product requirements; • Applying statistical methods to solve domain problems; • Applying data sampling techniques; • Developing and testing statistical models; • Defining procedures for obtaining data, ensuring validity and accuracy; Collaborating with business units to elicit data analytics requirements; Skills: Required • Analytical thinking; • Understanding of statistics fundamentals; • In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig); • In-depth knowledge on machine learning methods; • Experience with scripting languages such as Python; • Understanding of main statistical methods; • Understanding of sampling techniques; • Understanding of descriptive and inferential statistics concepts; • Business domain experience in one of the following areas: retail, enterprise mobility, healthcare; • B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required • M.Sc. degree in related field is desirable. Additional Information Tanya Danylevska Talent acqusition team Samsung SDSA [email protected]

3MK Software Solutions is the leading software service soltions provider and IT Staffing Supplier company, outsourcing and complex implementation services for the business across different functional areas and technologies with a core focus on software development and web designing development and GIS Software solutions and services. Our team is our core strength, we have selected the most skilled and talented specialists from the IT industry, and we continuously invest in developing their capabilities. The core management has many years of experience and has successfully leaded complex projects for major corporate in the field of healthcare, communication, retail and finance. During the term of these projects, the team had needed to develop an advanced implementation methodology. Job Description JD: We are seeking a smart and engaged Data Scientist to work with our large data sets. As an intelligence connection & search-product oriented firm you can imagine the amount of data we're uncovering . We need your help developing advanced mathematical and statistical models to map data and deliver web analytics. Our product is widely utilized but is perhaps most useful in an academic and / or research capacity. · Natural Language Processing (NLP) , and Machine Learning · Minimum Required Skills: R, Python, SQL, SQL, Hadoop, Algorithms, Machine Learning, Data Mining · Data Scientist - machine learning & NLP modeling · Machine learning development and deployment · advanced NLP modeling · big data framework experience (Spark, MapReduce) · Bachelor's or Master's degree in Computer Science, Statistics, or Mathematics · Develop statistical modeling techniques for pattern recognition problems. · Develop code in Python, R, and SQL, or other object oriented languages for modeling optimization, simulation, and statistical analysis. · Build models that maximize performance and accuracy · Strategic planning and project management. Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client's business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing statistical analyses. Qualifications A proven passion for generating insights from data. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Expertise in mathematics and applied statistics, computer science, and visualization capabilities. Curious and an excellent learner. Able to research, explore and acquire working knowledge in new areas. A complete understanding of standard statistical techniques like MLE/QMLE, GMM, OLS/GLS, univariate and multivariate time series models (e.g. ARIMA, DLM's, VAR's), regression model diagnostics for time series and cross sectional data, along with Machine Learning methodologies like Random Forests, SVM's and Boosting/Bagging. The ideal candidate would know when and how to apply these alternative methodologies, and the relative advantages/disadvantages of each for a particular business case. Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab Highly effective communicator; able to communicate complex quantitative analysis in a clear, precise & actionable way that is meaningful to general business audience and credible to client's data scientists. Fluency with at least one scripting language such as Python, Java, or C/C++. Expertise with relational databases and SQL. NoSQL is a big plus. REQUIREMENTS: MS or Ph.D. preferred in a quantitative Social Science (e.g. Economics) or Statistics with a substantive field interest. At least 5 years' experience in business, consulting or applied field research with project lead responsibilities for solving analytics problems using quantitative approaches. Demonstrated track record producing models and actionable insights using advanced statistical methods. Experience working with large data sets using distributed computing tools, e.g. Map/Reduce, Hadoop, Hive, etc. Additional Information All your information will be kept confidential according to EEO guidelines.

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology. In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded. Job Description We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate business objectives into actionable data analysis and communicate findings clearly to technical and non-technical audiences. Qualifications Responsibilities: • Searching for data sets matching data analytics requirements; • Applying transformations to cleanse and shape data set prior to analysis; • Performing exploratory data analysis; • Applying techniques for selecting representative data set features ; • Defining the most suitable machine learning method based on data product requirements; • Applying statistical methods to solve domain problems; • Applying data sampling techniques; • Developing and testing statistical models; • Defining procedures for obtaining data, ensuring validity and accuracy; Collaborating with business units to elicit data analytics requirements; Skills: Required • Analytical thinking; • Understanding of statistics fundamentals; • In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig); • In-depth knowledge on machine learning methods; • Experience with scripting languages such as Python; • Understanding of main statistical methods; • Understanding of sampling techniques; • Understanding of descriptive and inferential statistics concepts; • Business domain experience in one of the following areas: retail, enterprise mobility, healthcare; • B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required • M.Sc. degree in related field is desirable. Additional Information Tanya Danylevska Talent acqusition team Samsung SDSA [email protected]