Data Scientist - Data Analysis ( With analytics background)
eClerx is looking for Data Scientists to work in the Center of Excellence for Advanced Automation. Data Scientists will be part of project teams that are working on automation initiatives built on Robotic Process Automation or Machine Learning based solution.
Core Attributes:
- Possess statistical, mathematical, predictive modelling skills to build the algorithms necessary to ask the right questions and find the right answers.
- Ability to analyse business and process data to identify root causes, predict issues or forecast workloads
- Collaborate with business managers, Subject Matter Experts, technical resources to be able to conceptualize and develop analytical models
Principal Responsibilities:
- Perform data analysis to identify and solve business problems
- Assess quality of data, find data deficiencies and work around data availability challenges towards performing analysis
- Validate output of analytical models or machine learning based solutions, to be able to assess fitness for release to end users
Required Technical Experience:
- A thorough understanding of applied statistics including sampling approaches, causal modeling, time series analysis and data mining techniques
- Experience in working with large structured and unstructured data sets
- Fluency in the languages of data manipulation (e.g. SQL) and statistical analysis (e.g. R or Python/NumPy), with ability to code (e.g. PHP) a plus, Java, Ruby, Clojure, Matlab, Pig or SQL
- Understanding of Hadoop, Hive and/or MapReduce
- Natural Language Processing
- Machine Learning
- Conceptual modelling
- Statistical analysis & Predictive modeling
- Hypothesis testing
Required Domain Experience and Soft Skills:
- Ability to successfully partner and communicate with all levels of an organization
- Experience in analytics is must
- Ability to collaborate and communicate effectively both with IT, with business management and a demonstrated ability to influence and impact the business
- Strong interpersonal skills and ability to forge relationships resulting in successful partnerships
- Confident communicator; able to argue a point concisely and deal positively with conflicting views
- Enthusiasm for learning & results oriented
Required Education:
- Strong academic record and a Graduation/Post Graduation with high mathematical and computing content (e.g. Computer Science, Statistics, Mathematics, Engineering or Physics)
If interested, share your CV with below details :
Current Salary:
Expected Salary:
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