Title:  Data Scientist


Bangalore, Karnataka, IN, 560071

Requisition ID:  73672

Job Summary

Data Scientist will work as part of the team that turn data into information, information into insight and insight into business decisions. You will utilize your strong technical and business competencies to examine the unique needs and concerns of business groups to develop relevant practices and procedures for preparing and sharing business reports.

Essential Functions:
-    Build Machine learning models (Supervised & Un supervised Algorithms)
-    Deep Learning, advanced analytics (Random Forest, Logistic Regression, Predictive modeling, Timeseries analytics, Data wrangling, Data exploration, statistical testing, Clustering, Classification, and Exploratory Data Analysis, Statistical analysis using python libraries)
-    Understand and translate stakeholder requirements into performance metrics, reports and dashboards.
-    Develop streamlined reporting and automated scorecards from various systems including the Enterprise Data Warehouse 
-    Support adhoc reporting.
-    Collect and analyze complex data for reporting and/or performance (trend) analysis.
-    Develop reports and structured presentations to present key messages to senior management.
-    Engage with owners from each business unit to identify key causes behind data trends/irregularities.
-    Understanding of Sales, Finance processes, procedures, and internal controls
-    Identify process improvements to streamline data collection and report creation.

Job Requirements

•    Proficient in Python, R, and python data packages such as Numpy, Pandas
•    Strong oral and written communication skills, as well as strong documentation skills to describe existing metrics (processes) and propose changes to data & process flow.
•    Advanced knowledge of and experience with Business Intelligence (BI), Statistical analysis, and reporting tools such as - Microsoft Excel (advanced), SQL, Tableau etc., Data Prep/BI tools such as Qlik, Power BI. Experience in working with various data sources/data warehouse.
•    Must have the aptitude and desire to learn new competencies and skills.
•    Attention to detail and follow-through is essential.
•    Expertise in delivery technologies and data access, including familiarity with metadata, data organization, data quality assessment and data profiling.
•    Ability to independently, resourcefully, and creatively research and implement new solutions.

Education & Experience

•    A University degree or other related training is preferred.
•    Minimum 8+ years of enterprise experience reporting applications, Advance analytics and machine learning preferably with high tech companies.
•    Knowledge of Finance and Sales/accounting Analytics

Job Segment: Scientific, Database, Warehouse, Statistics, Engineering, Technology, Manufacturing, Data, Research