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Sr. Data Scientist - ML

DescriptionIf you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/About Us:Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the RoleData is critical to the algorithms that power the recommendation, search, and ranking systems. It's also critical to making decisions, especially working on systems that are themselves data-driven. As a Senior Data Scientist on the CDML team, you'll be responsible for helping drive improvements to the machine learning systems as well as analytics to drive decision-making.While there is a team of Applied Scientists building and shipping the algorithms themselves, data science can help improve these systems directly. In this role, you can identify and build new signals to input into the models. We're also working on the value model that the algorithm optimizes, and your input will be critical to understanding the tradeoffs and balancing multiple objectives in a scientific way.We also still have big unanswered analytics questions to solve. How often do viewers just want to get to the content they already know they want to watch, and when are they open to exploring new channels? These are the sorts of questions you'll be tackling.You Will• Inform product strategies by defining and updating core metrics for each initiative• Estimate the opportunity sizing of new features the team could take on• Identify and build new signals to incorporate into the algorithms driving recommendations, search, and feed ranking at Twitch• Identify metric tradeoff ratios that help inform value model choices, long-term impact from early-growth-funnel users, and other product decisions• Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders• Design A/B experiments to drive product direction with iterative innovation and measurement• Work hand-in-hand with business, product, engineering, and design to proactively influence and inform teammates' decisions throughout the product life cycle• Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertaintyPerks• Medical, Dental, Vision & Disability Insurance• 401(k)• Maternity & Parental Leave• Flexible PTO• Amazon Employee DiscountBasic Qualifications• BA/BS in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience• 5+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment• 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience• Expert SQL skills and proficiency in Python/R• Experience using data to create insight, drive business decisions and influence leadershipPreferred Qualifications- - MS/MA or higher in Analytics, Data Science, Computer Science, Mathematics, or a related technical field- - Experience working on algorithms powering large-scale consumer services- - Experience in a data science team working on customer software products, analytics, and insights- - Experience working with software development and operational event data- - Familiarity with Twitch, either as a viewer or creator (or both!)We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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What You Should Know About Sr. Data Scientist - ML, Amazon

Are you ready to take your data science career to the next level? At Twitch, the world’s biggest live streaming service, we are seeking a talented Sr. Data Scientist - ML to join our dynamic team in New York, NY. Here, you won't just work with data; you'll drive improvements in our machine learning systems that power our recommendation, search, and ranking algorithms. We believe that data is key to making crucial decisions in enhancing viewer experiences. As part of the CDML team, you'll have the opportunity to identify new signals for our models, tackle big analytical questions, and influence product direction through insightful analysis. With a range of responsibilities including designing A/B experiments and developing self-service reporting tools, you'll play a pivotal role in shaping the live streaming experience we offer. Plus, with a collaborative culture that values every voice, your contributions will be genuinely appreciated. At Twitch, we also offer fantastic perks like medical benefits, flexible PTO, and a solid 401(k) plan to ensure your well-being is taken care of. If you're passionate about leveraging data to empower communities, we can't wait to meet you and see how your expertise as a Sr. Data Scientist can help us innovate further!

Frequently Asked Questions (FAQs) for Sr. Data Scientist - ML Role at Amazon
What are the primary responsibilities of a Sr. Data Scientist - ML at Twitch?

As a Sr. Data Scientist - ML at Twitch, your key responsibilities will include defining and updating core metrics for product strategies, building new signals for machine learning algorithms, and addressing crucial analytical questions that influence viewer engagement. You'll also work on designing rigorous A/B experiments and establishing analytical frameworks to provide valuable insights to stakeholders.

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What qualifications are required for the Sr. Data Scientist - ML position at Twitch?

To qualify as a Sr. Data Scientist - ML at Twitch, you should possess a BA/BS in Analytics, Data Science, or a related field, along with at least 5 years of experience in data science or analytics roles. Proficiency in SQL and Python or R is crucial, and familiarity with machine learning techniques is essential for success in this position.

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How does the Sr. Data Scientist - ML role at Twitch contribute to decision-making processes?

The Sr. Data Scientist - ML at Twitch plays a vital role in decision-making by analyzing data that informs product strategies and user engagement tactics. Through insightful data analysis, you'll help identify metric tradeoffs, optimize algorithm performance, and ultimately drive the strategic direction of our products.

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What tools and technologies will I use as a Sr. Data Scientist - ML at Twitch?

In the role of Sr. Data Scientist - ML at Twitch, you will primarily utilize SQL for data querying along with Python or R for statistical modeling. You'll also work with various analytics software to create dashboards and automate reporting, helping to surface key insights relevant to product development decisions.

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What are the growth opportunities for a Sr. Data Scientist - ML within Twitch?

Twitch offers incredible growth opportunities for a Sr. Data Scientist - ML, including exposure to cutting-edge machine learning technologies, involvement in multifaceted projects across teams, and the potential to take on leadership roles. This position is designed to encourage professional development and collaborative learning, ensuring that your career can flourish in vibrant ways.

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Common Interview Questions for Sr. Data Scientist - ML
What machine learning techniques are you most familiar with as a Sr. Data Scientist?

In preparing for the interview, discuss specific machine learning techniques such as regression, classification, clustering, and recommendation systems that you have hands-on experience with. Provide examples of how you’ve implemented these techniques to solve real-world problems, showcasing your analytical and problem-solving skills.

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Can you describe a challenging analytics problem you solved?

Employ an example where you encountered a complex analytics problem, detailing how you approached the challenge, the data you used, and the solution you derived. Highlight your analytical thinking and the positive impact your solution had on the project or organization.

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How do you ensure your models are unbiased?

When addressing this question, emphasize the importance of training data selection and model evaluation techniques. Discuss specific measures you take to identify and reduce bias, such as utilizing diverse data sets and implementing fairness metrics in your model assessment.

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How do you approach collaboration with cross-functional teams?

For this question, illustrate your experience working with product managers, engineers, and designers. Outline how communication, setting clear expectations, and understanding the needs of different team members have played a critical role in your collaborative efforts to achieve common goals.

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What strategies do you use for effective data visualization?

Discuss your favorite tools and practices for data visualization, such as using Tableau or Matplotlib. Explain how you focus on clarity, relevance, and impact when presenting your findings, ensuring the audience can easily comprehend and act upon the insights you provide.

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Describe your experience with A/B testing.

Explain your methodology in planning, executing, and analyzing A/B tests. Provide a specific example, including how you defined metrics for success, maintained statistical rigor, and communicated findings to inform product decisions.

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How do you stay current with developments in data science?

Convey your proactive habits for staying updated, such as attending conferences, participating in online courses, and engaging with professional communities. Mention the importance of continuous learning and how it helps you apply the latest methodologies in your work.

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Can you articulate a time when data influenced a critical business decision?

Share a detailed narrative where your data analysis directly influenced a key decision, conveying how you identified actionable insights and what the outcome was for the business. This showcases your ability to drive significant impact through data.

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What challenges have you faced in machine learning projects?

Be prepared to discuss specific challenges such as data quality issues, model drift, or integration hurdles. Highlight how you overcame these challenges and the lessons learned, showcasing your resilience and problem-solving skills.

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Why do you want to work as a Sr. Data Scientist at Twitch?

Articulate your passion for Twitch and its vibrant community. Discuss how your values align with the company's mission and how your background in data science positions you uniquely to contribute to enhancing the viewer experience while being part of an innovative technology environment.

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Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.

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CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Transparent & Candid
Growth & Learning
Fast-Paced
Collaboration over Competition
Take Risks
Friends Outside of Work
Passion for Exploration
Customer-Centric
Reward & Recognition
Feedback Forward
Rapid Growth
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Paternity Leave
Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
Company Retreats
Dental Insurance
Life insurance
Health Savings Account (HSA)
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 18, 2024

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