About this opportunity
SANS Consulting Services, Inc. lists this 100% REMOTE Data Scientist opportunity in california, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Seeking candidates working at "Consumer Space Technology companies" such as Uber, Pinterest, AirBNB, META, Goolge, Microsoft, FaceBook, SNAP, etc.
Fluid coding with Python and SQL is a must as first round is testing on these two skills.
Job Title: Data Scientist IV
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:
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 DS 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 DS 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 ML models & DS 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
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Worksite address
california, MO, 65018, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.