Data Scientist - Vadodara, India - Aricent

Aricent Vadodara, India

2 days ago

Description

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 nontechnical audiences and to effectively collaborate within crossfunctional 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 experimentdriven development
Experience in statistical methodology (multivariate, timeseries, experimental design, data mining, etc.)

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