Role : Data Scientist

Job description :

- Write well documented code that can be shared and used across teams, and can scale to be used in existing products. SQL, Advanced Python or R (descriptive / predictive models), Tableau Visualization.

- Working knowledge of Hadoop, BigQuery, Presto, Vertica

- Apply your expertise in quantitative analysis, data mining, and the presentation of data to uncover unique actionable insights about customer service, health of public conversation and social media

- Inform, influence, support, and execute analysis that feeds into one of our many analytics domains Customer analytics, product analytics, business operation analytics, cost analytics, media analytics, people analytics

- Select and deselect analytics priorities, insights and data based on ability to drive our desired outcomes

- Own the end to end process, from initiation to deployment, and through ongoing communication and collaboration, sharing of results to partners and leadership

- Mentor and create sense of community and learning environments for our global team of data analysts

- Experiment and Develop: You will drive the end to end machine learning project lifecycle using best practices and well managed software delivery

- Work on proof of concepts and experiments to demonstrate value ML can bring basis product requirements

- Documenting data requirements, data collection, processing, cleaning and exploratory data analysis

- Collaborate across teams for timely well managed deliverables

- Innovate, Share and Educate team members and community

Soft skills :

- Ability to communicate findings clearly to both technical and non-technical audiences and to effectively collaborate within cross-functional teams

- Working knowledge of agile framework and processes.

- You should be comfortable managing work plans, timelines and milestones

- You have a sense of urgency, move quickly and ship things

Bonus Points :

- You are experienced in metrics and experiment-driven development

- Experience in statistical methodology (multivariate, time-series, experimental design, data mining, etc.)