Search for Data Scientist positions in San Francisco, specifically in the tech industry, requiring at least 1 year of experience, offering remote work options, and with a salary of $100,000 or more.

I've found 72 Data Scientist positions in San Francisco within the tech industry that require at least 1 year of experience and offer remote options, with salaries starting at $100,000. You can review these openings now.

Data Scientist

San Francisco, CA

1 years + Experience

Remote

$100000+

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Twitch is fundamentally about enhancing the monetary flow within the Twitch ecosystem, specifically guiding the payouts process for creators. The candidate is primarily expected to evaluate and analyze policy changes that impact how creators are compensated, collaborating with cross-functional teams such as product, engineering, and finance. Given that many of the challenges this role will face involve working with policy-driven changes that require nuanced understanding rather than traditional A/B testing, the candidate must exhibit strong analytical and causal reasoning skills. Success in this position will depend on the ability to provide actionable insights from data and to maintain robust reporting pipelines despite working with imperfect datasets. The expectation is for the Data Scientist to take ownership of projects that drive significant impacts on monetization initiatives while operating within the complexities of organizational decision-making. Thriving in this role will involve effective communication with both technical and non-technical stakeholders and adaptability in a fast-paced environment where data infrastructure may not always be fully fleshed out.

Company Analysis:

Twitch operates within the rapidly evolving landscape of digital live streaming, where it stands as a clear leader, facilitating community engagement through diverse content types including gaming, music, and sports. The company’s focus on community as a central value indicates a collaborative and innovation-driven work culture, which is crucial for a Data Scientist working in the financial and operational aspects of the platform. The role likely exists within a dynamic team structure, contributing to high-stakes initiatives that directly affect the monetary aspects of the creator ecosystem. This strategic hire not only aims to refine existing payout processes but also supports the expansion of monetization frameworks, aligning with Twitch’s broader goals of growth and community empowerment. The individual filling this position will have significant visibility, especially given the role’s involvement in shaping practices that affect a large user base, thus impacting Twitch’s market position in the live streaming industry. As the company continues to innovate and expand, the Data Scientist will need to be aligned with its mission of fostering inclusivity and responsiveness to user needs.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to analyze complex data and communicate your findings to a non-technical audience.
Describe a situation where you encountered imperfect data while working on a project. How did you resolve the issues?
Can you provide an example of how you've applied causal inference methods in a past analysis? What was the outcome?
How do you approach collaborating with different cross-functional teams to ensure that your analytics align with their requirements?
How would you conduct an analysis to evaluate the impacts of a new payout policy on creator earnings?
What strategies would you use to create a dashboard that effectively communicates key metrics around payout eligibility?
Describe how you would leverage SQL in creating reports and maintaining data pipelines for recurring analytics.
If you had to implement a machine learning model for fraud detection for payouts, which initial steps would you take?
Imagine you are faced with a new policy change that impacts creator payouts significantly. How would you evaluate its effectiveness?
Why are you interested in working for Twitch specifically, and what draws you to the Data Scientist role?
How do Twitch's values of community and collaboration align with your personal work philosophy?
If successful in this role, how do you envision contributing to the strategic goals of Twitch over the next year?

Job Details

Overview Company

Data Scientist

$97.5k/y-$185k/y

Lensa

23 days ago

Highlight

OnsiteFull-time1+ yearEntry

Summary

Amazon is seeking a Data Scientist to join their team in San Francisco, CA. The role involves working with Twitch's Money team to support creator payouts, payments infrastructure, and fraud detection.

About the Role

As a Data Scientist, you will focus on Payouts, shaping how and when creators are paid and payout eligibility. You will collaborate with product, engineering, finance, legal, and data partners to measure and refine payout-related programs and support new monetization initiatives. The role requires thoughtful measurement, reporting, operations, and causal reasoning.

About You

Required:

1+ years of experience as a data scientist, data analyst, or a related field.
Proficiency in SQL.
Proficiency with Python or R.
Understanding of Causal Inference concepts (e.g., DiD, matching, IPW, experiment design).
Strong communication skills across technical and non-technical stakeholders.
High level of comfort creating dashboards.

Preferred:

Hands-on experience with Airflow, Sagemaker, or deploying ML models in production environments.
Strong familiarity with econometrics.
Experience contributing to machine learning efforts in fraud or churn prediction.
Experience ideating, executing, and analyzing A/B tests.

Benefits

Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

San Francisco, CA