Consultant at Econolytics
Views:3049 Applications:365 Rec. Actions:Recruiter Actions:121
Econolytics - Data Scientist - IIT/NIT/BITS (4-8 yrs)
Data Scientist
- Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems
- Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP
- Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring)
- Deploy, maintain, and debug ML/decision models in production environment
- Analyze and assess data to ensure high data quality and correctness of downstream processes
- Communicate results to stakeholders and present data/insights to participate in and drive decision making
Desired Skills & Experiences :
- Bachelors or Masters in a quantitative field from a top tier college (Preferably Btech from IIT or Bits Pilani)
- 4+years of experience in a data science / analytics role in a technology / analytics company
- Solid mathematical background (especially in linear algebra & probability theory)
- Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies
- Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance
- Hands-on experience in at least one of the following: (a) Anomaly Detection, (b) Time Series Analysis, (c) Product Clustering, (d) Demand Forecasting, (e) Intertemporal Optimization
- Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems
- Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time)
- Excellent written and verbal communication skills for both technical and non-technical audiences
- (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems
- (Nice to have) Research experience and publications in top ML/Data science conferences
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.