Staff Data Scientist
Staff Data Scientist
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$ 181220 - 217464
1 Vacancy
Job Description
Fastly helps people stay better connected with the things they love. Fastlys 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 endusers 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. Fastlys customers include many of the worlds most prominent companies including Vimeo Pinterest The New York Times and GitHub.
Were 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 youll shape the future of datadriven decisionmaking at Fastly. In this role youll deliver actionable deep insights to solve critical business challenges. Over time youll transition into more advanced data science work such as predictive modeling and machine learning to unlock even greater value. Youll 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 youll 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 Youll Do:
- Lead endtoend data science and AI projects from problem definition and data collection to model deployment and business implementation
- Design develop and optimize machine learning and generative AI models to solve complex business problems and drive measurable outcomes
- Integrate AI capabilities into existing products and workflows to enhance functionality and create new value opportunities
- Collaborate with engineering product and business teams to identify opportunities where data science and advanced AI can create significant impact
- Communicate insights and recommendations to technical and nontechnical stakeholders through compelling visualizations and presentations
- Mentor junior team members and establish best practices for the teams AI approaches and methodologies
What Were Looking For:
- Masters or PhD in Computer Science Statistics Mathematics or a related quantitative field
- 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
- Strong programming skills in Python and experience with data science and AI libraries (PyTorch TensorFlow scikitlearn Hugging Face)
- Expertise in statistical analysis machine learning algorithms experimentation methodologies large language models and generative AI frameworks
- Experience mentoring and leading others in data science skills and initiatives
- Experience working with modern data stacks including Airflow Fivetran dbt BigQuery Vertex AI and Looker
Well be super impressed if you have experience in one or more of these:
- Domain expertise in our industry or related fields
- Experience deploying and maintaining production machine learning systems
- Experience with specialized data types such as natural language timeseries or recommendation systems
- Track record of leading technical teams or mentoring junior data scientists
- Implementing and finetuning large language models or other generative AI systems for specific business applications
- Building AIpowered products or features that have been successfully deployed to end users
- Experience with prompt engineering and RAG systems
- Contributions to opensource AI projects or research publications in machine learning or generative AI
- Proficiency with AI services on cloud platforms (AWS Bedrock GCP Vertex AI Azure OpenAI)
Work Hours:
This position will require you to be available during core business hours and participate in an oncall rotation.
Work Location(s) & Travel Requirements:
This position is open to the following preferred office locations:
- San Francisco CA
- New York NY
- Denver CO
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 $181220.00 $217464.00.
Starting salary may vary based on permissible nondiscriminatory factors such as experience skills qualifications and location.
This role may be eligible to participate in Fastlys 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 doour customershave a tremendous user base but we also support a growing number ofopen 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. Fastlys homebase 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 INPERSON new hire orientation in our San Francisco office! It is an exciting weeklong experience that we offer to new employees to build connections with colleagues across Fastly participate in handson 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 were 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.
Were 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 or.
Fastly collects and processes personal data submitted by job applicants in accordance with ourPrivacy Policy. Please see ourprivacy notice for job applicants.
Required Experience:
Staff IC
Employment Type
Full-Time
