Actively Hiring
J
Data Scientist - SQL/R/Python
Nashik
Job Description
Aricent
Requirements
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.)
