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14/04 Imma Catherine
Human Resources at InnovAccer

Views:2416 Applications:119 Rec. Actions:Recruiter Actions:32

Innovaccer - Lead Data Scientist - IIT/NIT (2-4 yrs)

Delhi/NCR Job Code: 140033

Job Role: Lead Data Scientist

Location: Noida

Job Role :

Statistical Profile:

- Manage data and statistics centric client projects (with front facing client interactions) by implementing state-of-art research tools and techniques ranging in domains like: Extract-Transform-Load, Flexible String Matching, Predictive Analytics, Time-Series & Forecasting Analysis, Optimizations, Big Data Queries, Regression Analysis, and Clustering Techniques.

- You would also be involved in product development with a role of improving statistical and decision science engine of products which are in the pipeline.

Technology Profile:

- Develop technologies for in-house support as well as on-shelf software products. Technologies range from creating dashboards to GIS Maps to Visualization Engines to running Big Data Queries.

- At InnovAccer we primarily work on Python as the general purpose programming language, R as general purpose statistical analysis language and build over their libraries to work on niche tasks.

- We also work intensively on data visualization languages like R/SAS/D3/JS/DS, big data infrastructure like Hadoop/Pig/NoSQL/Lucene, web development, and app development.

- A person who is detailed enough to break down a problem statement into its sub-modules and attacking each sub-module with best research tools and algorithms available in the world is best suited for the profiles.

- One has to learn, keep abreast, and train themselves with best upcoming tools and algorithms in the research fraternity.

- At Innovaccer, we believe in an open and friendly work culture wherein quality output and customer commitments are given utmost importance.

- If you are ready to challenge yourself every-day and grow with fast growing organization which is gaining traction from clients, investors, and competitors, you are suited for this job.

Key Responsibilities:

- End-to-End client interaction and management of data and statistics centric client projects

- Regular Development of best in-house data and statistical tools derived from best state of-art research tools and algorithms.

- Make statistical and decision science engine behind InnovAccer’s Products better and efficient.

- To hire, train, and manage teams under you over a short period of time.

- To keep the intellectual, innovative, and algorithmic DNA of InnovAccer in-tact by taking part in or initiating new techniques, tools, algorithms, projects, or group activities.

- End-to-End development of desktop, web and app technologies to either support statistical team or to develop products in the pipeline of InnovAccer.

- To work on creating and maintaining an efficient big-data infrastructure and scale-up data processing and analytics capability of InnovAccer multi-folds every year.

- To hire, train, and manage teams under you over a short period of time.

Preferential Knowledge of Languages: Python, R/MATLAB, Hadoop, SQL, Regular Expressions

Preferential Knowledge of Algorithms: Predictive Analytics, Forecasting and Time-Series

Analysis, Optimization techniques, Clustering Algorithms, Flexible String Matching Algorithms,

Dynamic Programming, Automata, Heuristics and Meta-Heuristics.

Only candidates with BE/Btech from IIT / NIT / BITS Pilani / NSIT / DCE in quantitative discipline (mathematics, statistics) with CGPI of 7 and above should apply.

Experience: 2 - 3 yrs with very good academic background should apply.

Experience of working in a start-up would be preferred.

Candidate should be willing to work 6 days, flexible with long work hours, ability to manage end to end
projects independently.

Please send your applications with "Lead Data Scientist" in the subject line.

Human Resources

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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