Procol - Data Scientist

Position expectations -

1. Solve business problems & develop solutions.

2. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

3. Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem solving, project management, client relationship management & team work skills. Conduct regular reviews with team members.

Skills & Qualifications -

- At least 2 years of hands-on experience in running data analytics projects

- Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management

- Expertise in SQL /R/SAS & advanced analytics/Statistics Techniques such as the general linear model, ANOVA, decision trees, linear regression, Bayesian, etc

- Knowledge of any one visualization tool such as Tableau, Spotfire or equivalent

- Presenting the data using graphical tools, and presentations.

- . Experience in processing and synthesizing large data sets.

- Good to have: Startup experience, big data tools such as Hadoop, Hive, Impala, and Python

- Graduate in Computer Science, Mathematics, Operational research, Information Science, Engineering, Statistics. (MS or MBA preferred)

- Certification in any R, SAS, SQL, Visualization Tools, Machine Learning, Bayesian and/or Regression, etc. (Preferred)

Job perks -

- A new macbook.

- Free snacks in the office.

- Unlimited leaves.

- Work from home or anywhere, as long as you're able to deliver.

- Office location, 2 min walk from the metro.