Technical skills requirements:-
The candidate must demonstrate proficiency in,
- Strong knowledge of statistical techniques and expertise in use of statistical packages , experience with ML Algorithms
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to engineering teams and business audiences
- Highly skilled in data and math/statistical methods (i.e. modeling, algorithms)
- Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects
- Experience in processing, filtering, and presenting large quantities of data
- Actively involved in Feature Engineering, Model Building, Data Preparation & Model Productionalization
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Nice-to-have skills :
- Proficiency in statistical modelling with R and creating data driven visualizations and web applications using R-Shiny. Experience with cloud technologies like AWS, Azure etc. would be a strong plus.
Qualifications - Bachelors (Masters preferred) degree in Math's, Stats, or Comp. Sc. etc.
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