Staff Data Scientist

Fastly; San Francisco (CA); Hybrid; USD 181,000 - 218,000; Full time

Job summary

An innovative firm is seeking a Staff Data Scientist to join their high-impact Analytics team. In this pivotal role, you will drive data-driven decision-making and lead projects that integrate AI capabilities into products. With your expertise in machine learning and statistical analysis, you will mentor colleagues and set best practices, making a significant impact on the organization. This position offers a collaborative environment where your contributions will shape the future of data science at the company. If you're passionate about leveraging data to solve complex business challenges, this is the right opportunity for you.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Flexible Vacation Policy

401(k) with Company Match

Employee Stock Purchase Program

Mental Health Support

Paid Local Holidays

Paid Company Wellness Days

Accrued Paid Sick Leave

Qualifications

• 5+ years of experience in data science and AI.
• Strong programming skills in Python with data science libraries.
• Experience mentoring and leading data science initiatives.

Responsibilities

• Lead end-to-end data science and AI projects.
• Design and optimize machine learning models.
• Collaborate with engineering and product teams for data-driven insights.

Skills

Python

Machine Learning

Statistical Analysis

Data Science

AI Techniques

Data Visualization

Education

Master's in Computer Science

PhD in Statistics

Tools

PyTorch

TensorFlow

scikit-learn

Hugging Face

Airflow

BigQuery

Job description

Fastly helps people stay better connected with the things they love. Fastly's edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers' applications as close to their end-users as possible - at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly's customers include many of the world's most prominent companies, including Vimeo, Pinterest, The New York Times, and GitHub.

We're building a more trustworthy Internet. Come join us.

Posting Open Date :

3 / 7 / 2025

Anticipated Posting Close Date

• 6 / 1 / 2025
• Job posting may close early due to the volume of applicants.

Staff Data Scientist

Join our high impact Analytics team as a Staff Data Scientist, where you'll shape the future of data-driven decision-making at Fastly. In this role, you'll deliver actionable deep insights to solve critical business challenges. Over time, you'll transition into more advanced data science work, such as predictive modeling and machine learning, to unlock even greater value. You'll be the first member of the team to invest heavily in AI and machine learning and help us build out the practice. As a leader on the team, you'll mentor colleagues, set best practices, and elevate how we use data to drive success. This is your opportunity to make a meaningful impact while growing in a collaborative and innovative environment.

What You'll Do :

1. Lead end-to-end data science and AI projects from problem definition and data collection to model deployment and business implementation
2. Design, develop, and optimize machine learning and generative AI models to solve complex business problems and drive measurable outcomes
3. Integrate AI capabilities into existing products and workflows to enhance functionality and create new value opportunities
4. Collaborate with engineering, product, and business teams to identify opportunities where data science and advanced AI can create significant impact
5. Communicate insights and recommendations to technical and non-technical stakeholders through compelling visualizations and presentations
6. Mentor junior team members and establish best practices for the team's AI approaches and methodologies

What We're Looking For :

1. Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
2. 5+ years of professional experience applying data science and AI techniques to solve business problems, with demonstrated expertise solving complex and highly impactful quantitative business problems
3. Strong programming skills in Python and experience with data science and AI libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)
4. Expertise in statistical analysis, machine learning algorithms, experimentation methodologies, large language models, and generative AI frameworks
5. Experience mentoring and leading others in data science skills and initiatives
6. Experience working with modern data stacks, including Airflow, Fivetran, dbt, BigQuery, Vertex AI, and Looker

We'll be super impressed if you have experience in one or more of these :

1. Domain expertise in our industry or related fields
2. Experience deploying and maintaining production machine learning systems
3. Experience with specialized data types such as natural language, time-series, or recommendation systems
4. Track record of leading technical teams or mentoring junior data scientists
5. Implementing and fine-tuning large language models or other generative AI systems for specific business applications
6. Building AI-powered products or features that have been successfully deployed to end users
7. Experience with prompt engineering and RAG systems
8. Contributions to open-source AI projects or research publications in machine learning or generative AI
9. Proficiency with AI services on cloud platforms (AWS Bedrock, GCP Vertex AI, Azure OpenAI)
10. This position will require you to be available during core business hours and participate in an on-call rotation.

Work Location(s) & Travel Requirements :

This position is open to the following preferred office locations :

• New York, NY

Fastly currently embraces a largely hybrid model for most roles which allows employees flexibility to split their time between the office and home.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Salary :

The estimated salary range for this position is $181,220.00 - $217,464.00.

Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location.

This role may be eligible to participate in Fastly's equity and discretionary bonus programs.

Benefits :

We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings?

We offer a comprehensive benefits package including medical, dental, and vision insurance. Family planning, mental health support along with Employee Assistance Program, Insurance (Life, Disability, and Accident), a Flexible Vacation policy and up to 18 days of accrued paid sick leave are there to help support our employees. We also offer 401(k) (including company match) and an Employee Stock Purchase Program. For 2024, we offer 10 paid local holidays, 11 paid company wellness days.

Why Fastly?

• We have a huge impact. Fastly is a small company with a big reach. Not only do our customers have a tremendous user base, but we also support a growing number of open source projects and initiatives. Outside of code, employees are encouraged to share causes close to their heart with others so we can help lend a supportive hand.
• We love distributed teams. Fastly's home-base is in San Francisco, but we have multiple offices and employees sprinkled around the globe. As a new hire, you will be able to attend our IN-PERSON new hire orientation in our San Francisco office! It is an exciting week-long experience that we offer to new employees to build connections with colleagues across Fastly, participate in hands-on learning opportunities, and immerse yourself in our culture firsthand.
• We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful every day.
• We are passionate. Fastly is chock full of passionate people and we're not 'one size fits all'. Fastly employs authors, pilots, skiers, parents (of humans and animals), makeup geeks, coffee connoisseurs, and more. We love employees for who they are and what they are passionate about.

We're always looking for humble, sharp, and creative folks to join the Fastly team. If you think you might be a fit please apply! A fully completed application and resume or CV are required when applying.

Fastly is committed to ensuring equal employment opportunity and to providing employees with a safe and welcoming work environment free of discrimination and harassment. Our employment decisions are based on business needs, job requirements and individual qualifications. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, family or parental status, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Consistent with the Americans with Disabilities Act (ADA) and federal or state disability laws, Fastly will provide reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and / or to receive other benefits and privileges of employment, please contact your Recruiter, or the Fastly Employee Relations team at [emailprotected] or 501-287-4901.

Fastly collects and processes personal data submitted by job applicants in accordance with our Privacy Policy. Please see our privacy notice for job applicants.

Create a job alert for this search

Staff Data Scientist • San Francisco, CA, United States