Senior Data Scientist (Consumer Technology space)

• Smartphones (iPhone, Samsung Galaxy)
• Laptops and tablets (MacBook, Surface, iPad)
• Wearables (Apple Watch, Fitbit)
• Smart home devices (Amazon Echo, Google Nest)
• Gaming products (PlayStation, Xbox, Nintendo Switch)
• Consumer software and apps (Netflix, Spotify, TikTok)
• Personal AI tools (ChatGPT, Microsoft Copilot consumer offerings)

Job Title: Data Scientist IV Location: San Francisco FULLY REMOTE
Duration - 12+ Months
About the Consumer Data Science Team:
The Consumer Data Science team at the client leverages data to help grow company through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of metrics, measurement, modeling, and experimentation . We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modelling.
About the Role: RECRUITER MUST RUN CHECKLIST KEYWORD UNDERLINED
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Consumer Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge Data Science models/methods to help grow the company . You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for the client.
Main job duties include:

• Design, develop, and apply Data Science solutions to inform improvements in across our main Consumer product teams, including Feeds, Search, Growth and Content Ecosystem .
• Creating data assets (new tables, self-serve dashboards, etc.) to enable partners to answer their own data questions
• Creating reporting dashboards for product and engineering partners to understand topline metrics movements and deep dive into specific areas of interest
• Analyze large-scale datasets to identify trends, patterns, and insights.
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Uncovering strategic insights and sharing them with stakeholders to shape future product directions
• Develop Machine Learning models & Data Science methods to improve anomaly detection, prediction, & pattern recognition
• Communicate findings and recommendations to stakeholders across the organization

Qualifications:

• BS, MS or PhD in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in data science, machine learning, or a related field
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive ; knowledge of BigQuery a plus
• Experience with SQL and relational databases
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch

Bonus Points:

• Experience working in the Consumer technology space
• Experience with causal inference and A/B testing