Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.

Industry: Software Development
Company Size: 5,001-10,000 employees

Snowflake

Savvy Admin PROD

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.

**PLEASE NOTE: ** The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance.

**AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:**

- Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.

- Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.

- Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.

- Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.

- Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.

- Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.

- Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.

- Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.

**OUR IDEAL CANDIDATE WILL HAVE:**

- MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).

- 8+ years of relevant data science or related experience.

- Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.

- Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).

- High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.

- Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.

- The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.

~~Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.~~

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:

-  The estimated base salary range for this role is $168,000 - $220,500.

- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Senior Data Scientist - Product

Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. 

We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.

This is that place where your passions meet purpose. Join our family and build a career you’re proud of.

Industry: Retail
Company Size: 10,001+ employees

Walmart

Position Summary...

What you'll do...

As part of the Emerging Tech team, this role is centered on deep technical execution and advanced modeling. As a Senior Data Scientist, you’ll focus on developing and experimenting with deep learning and multimodal generative models, working closely with engineers to bring research-grade ideas into real production systems.

- Immigration Sponsorship is not available in this role

About Emerging Tech:

Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop.

As a Senior Data Scientist you will:

- Contribute as a hands-on builder focused on model development and rapid experimentation.

- Execute complex deep learning and multimodal modeling work with a production mindset.

- Partner closely with engineering to deploy, monitor, and iterate on models in production.

- Influence adjacent teams through strong technical judgment and collaboration.

- Thrive in fastmoving, ambiguous spaces where learning fast and shipping value matters.

Experience we are looking for:

- 3–6+ years in data science, deep learning, or applied ML.

- Proven, hands-on expertise with modern deep learning frameworks.

- Experience training, finetuning, and evaluating large models.

- Ability to work with large datasets and curate domain specific training data.

- Track record of close collaboration with engineering partners.

- Strong analytical skills and clear, concise communication.

- Research mindset with real world impact; publications are a plus, not a requirement.

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart's culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.

Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

~~The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.~~

Your Career Journey at Walmart

At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters:

We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: http://careers.walmart.com. There is no cost or payment required to apply or be considered for a position.

If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart!

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

**For Information About Benefits And Eligibility, See One.Walmart.**

Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00

Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

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**Minimum Qualifications...**

~~Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.~~

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

**Preferred Qualifications...**

~~Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.~~

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Senior Data Scientists, Conversational AI

On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo app and ride today.

Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com/careers to check out our official job listings.

Industry: Technology, Information and Internet
Company Size: 1,001-5,000 employees

Waymo

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology—resulting in denser signals and challenging new problems in estimation and experimental design.

In this hybrid role you will report to a Data Science Manager.

**You Will**

- Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.

- Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.

- Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.

- Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.

- Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo’s simulation software; facilitate deployment readiness decisions for both products.

**You Have**

- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)

- 3+ years of industry experience solving data science problems or a PhD in a quantitative field

- Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models

- Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

**We Prefer**

- PhD in a quantitative field

- Experience solving problems related to Autonomous Driving or Ride Hailing

- Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$170,000—$216,000 USD

Data Scientist

Using whole genome sequencing and state-of-the-art bioinformatics, MyOme analyzes a single patient sample to produce comprehensive and clinically actionable reports that allow patients and their providers to make personalized lifestyle, prevention, and treatment choices.

Industry: Biotechnology Research
Company Size: 11-50 employees

MyOme

MyOme’s mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors.

**Position Overview:**

MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist.

**What You'll Do:**

- Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data

- Identify and develop tools for NGS data analysis

- Develop and test algorithms for incorporation into a production pipeline

- Design and implement quality control processes

- Help design and conduct clinical validation study plans and reports

- Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards

**What You'll Ne ****ed:**

- Master’s degree (PhD preferred) in computational biology, computer science or a related field

- 3+ years experience in industry analyzing NGS data

- Coding fluency such as Python or R

- Experience with bioinformatics tools including bcftools, samtools, bedtools, etc.

- Ability to implement new tools and evaluate open source tools quickly

- Familiarity with genomic databases such as UCSC, NCBI (dbSNP, Clinvar), Ensembl

- Familiarity with public datasets such as 1000 Genomes, UKB, All of Us

- Experience with detecting and interpreting different types of genetic variants

- Experience in statistical analysis of genetic data

- Experience managing computational tasks in a cloud environment (AWS or GCP).

- Solid understanding of the Linux environment and shell scripting

- Experience working with next-generation sequencing data (exome, genome, RNASeq) and/or long-read technology (Nanopore, PacBio)

- Experience with Nextflow is a plus

- Excellent communication and presentation skills

- Experience working within a hybrid and/or remote team

**Location, Compensation, and Benefits:**

- **Location: **Hybrid role, 2 days onsite at our Menlo Park, CA campus.

- **Compensation: ** Annual salary range is $120,000 - $150,000, based on experience

San Francisco Bay Area pay range: $120,000 USD - $150,000 USD

**Benefits:**

- Comprehensive healthcare coverage (Health, Dental, and Vision)

- 401K

- Unlimited PTO

- Professional development opportunities

- Company-sponsored off-sites and team meals during in-person meetings

- Direct access to company leadership and the opportunity for career growth

**Diversity, Inclusion, and Equal Opportunity:**

MyOme values diversity in all forms. We believe that diverse perspectives drive better science and better patient outcomes. We are an Equal Opportunity Employer committed to creating an inclusive workplace that empowers every individual.

**Why Work at MyOme?**

**Join us if you:**

- Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level

- Enjoy rolling up your sleeves, taking initiative, and being empowered to lead

- Value humility, transparency, and collaborative problem-solving

- Thrive in fast-moving, dynamic environments with smart, driven teammates

- Appreciate competitive compensation, meaningful equity, and excellent benefits

Learn More: myome.com

Bioinformatics Scientist

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