Roku

Senior Data Scientist

Roku$126K — $199K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Operations Research, Data Science, or related field, or Bachelor's degree with 2 years of relevant experience.
  • Experience with hypothesis testing and statistical analysis.
  • Knowledge of statistical modeling and machine learning techniques, including NLP and deep learning.
  • Proficiency in mathematical and optimization models.
  • Skilled in SQL and big data processing.
  • Familiarity with Python or R, including statistical libraries like Pandas and NumPy.
  • Experience with version control and cloud platforms, particularly Git and AWS.

Responsibilities

  • Develop mathematical models and optimization methods to support management decisions.
  • Analyze enriched datasets to uncover trends and support strategic business initiatives.
  • Build data processing and reporting pipelines using SQL, Python, and Airflow.
  • Create data visualizations that simplify complex phenomena using tools like Looker and Tableau.
  • Collaborate with leadership and engineers to align analytics with business needs.
  • Find creative proxies for unavailable data while conducting analyses.
  • Automate dashboards and data pipelines for real-time insights.

Benefits

  • Health insurance including medical, dental, and vision.
  • Equity awards and life insurance.
  • Disability benefits and parental leave.
  • Wellness resources and paid time off.
  • 401(k) retirement options and commuter benefits.
Full Job Description
What you'll be doing
  • Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management.
  • Use Roku's enriched datasets to perform analyses to identify trends and patterns in the data and to support the business with strategic decisions.
  • Build data processing and reporting pipelines using SQL, Python, and Airflow.
  • Develop data visualization that illustrates complex platform phenomena using tools such as Looker and Tableau.
  • Partner with leadership, engineers, and data engineers to understand business needs and how these can be addressed through analytics.
  • Use creativity to find proxies where verbatim data or measurements are unavailable.
  • Automate dashboard and build data pipelines that help various stakeholders gather real-time insights and make informed decisions.
  • Up to one day per week telecommuting may be permitted.
You are required to have
  • Master's degree or foreign equivalent in Operations Research, Data Science, or related field.
  • Will also accept Bachelor's degree or foreign equivalent in Operations Research, Data Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation.
  • Must have prior experience, internship, project background, or advance level coursework in each of the following:
    1. Hypothesis testing, and statistical analysis.
    2. Statistical Modeling and Machine Learning techniques, including Network Analysis, Natural Language Processing, and Deep Learning Model.
    3. Mathematical and Optimization Models, including Stochastic Model, Markov Chain Simulation Model, and Robust Optimization Model.
    4. SQL and Big Data Processing and Analysis.
    5. Python or R and numerical and scientific libraries used for statistics and machine learning, including Pandas, NumPy, SciPy, scikit-learn.
    6. Version Control and Cloud Platforms, including Git, AWS SageMaker, and S3.
    7. Creating data visualizations and intuitive management reporting, including Tableau and graphing capabilities in either R or Python.

The annual salary for this position for NY only is $126,000 - $199,750.

Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.

This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
#LI-DNI

What's Roku's approach to hybrid working?

Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.

What are some of the benefits?

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to [redacted].

About Roku

Roku is an American consumer electronics company founded in 2002. The company is best known for its streaming devices that allow users to access internet-based video content on their televisions. Roku's devices are available in several models and are sold in the United States and other countries. The company also offers a streaming service called The Roku Channel that features a selection of movies and TV shows. Roku went public in 2017 and is traded on the NASDAQ stock exchange.
Learn more about Roku
Size
3,000 employees
Market Cap
$5.5 billion
Industry
Net Income
-$17.5 million
Founded
2002
5 Year Trend
+47.3%
Revenue
$1.7 billion
NASDAQ

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