The Data Scientist/Analytics, Senior interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Senior prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Senior typically requires an advanced degree. Typically reports to a manager. Work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. Typically requires 4 -7 years of related experience. Being a Data Scientist/Analytics, Senior work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. Working as a Data Scientist/Analytics, Senior typically requires 4 -7 years of related experience.
Senior Data Scientist, Analytics Job Description Template
Our company is looking for a Senior Data Scientist, Analytics to join our team.
Responsibilities:
- Mentor other Data Science analytics experts as needed on best practices for data-informed decision making;
- Define, compute, track, and continuously validate key performance metrics with descriptive and predictive analytics;
- Build and iterate on machine learning models to be used to power recommendations for the Yammer Feed;
- Work with product and engineering to craft experiments and test hypotheses;
- Navigate complex situations and influence across multiple product areas by leveraging leadership acumen;
- Develop deep product intuition that you leverage to influence future product roadmaps and drive decision making;
- Coach and support individuals across organizations to evangelize a decentralized culture of data-driven decision making throughout the company;
- Apply your expertise in Data Mining, Data Science, and Data Visualization to develop analytics solutions.
Requirements:
- Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL);
- Experience in training and deploying Machine Learning models;
- Built recommender systems used in production at scale;
- Masters or PhD with 5+ years work experience doing quantitative analysis;
- Applied experience with machine learning on large datasets;
- Work experience in the social networking space.