Looking for candidates with strong Machine learning, Sql, And Python experience
Experience- 2 to 6 years
Location - Remote
Responsibilities:
- To understand multiple data sources and set up robust QC frameworks for the data to be used for analysis
- Solve complex business problems with statistical and ML techniques
- Create pipelines for data transformations, modelling and deploy on cloud
- To work closely with clients and bring thought leadership on ways to harmonize data across various data sources
KPIs/Exec-Insights/W+:
- To generate focused and conclusive output on a business use-case as per requirement.
- To design and implement the analytical projects for insights that drive the business goals and decisions (Ex: Analyze change in behavior etc.)
- To create/publish conclusive intelligence in article/dashboard/report forms and helps drive decision making
- To define and track metrics which help evaluate the health of business
- To build automated alerting systems for proactive and preemptive actions
MW/Algos:
- To use various forecasting/ predictive modelling techniques to forecast/ estimate the target variables to be reported
- To set up pipelines to train models at scale
- To do a time series analysis of various data sources and identify reasons for variations in the reported forecasts
- To build R Shiny/ Streamlit dashboards for reporting the calculated metrics
Skillsets:
Must Have:
SQL:
- Advanced HIVE SQL (incl. window functions, advanced aggregations etc.)
- Skilled in tuning jobs for reliability and efficiency
- Python
- Scripting (re-usable classes, functions)
- Expertise in Pandas
- Working knowledge of sklearn - random forests, linear, logistic regression
- Comfortable with working on Jupyter notebooks
- Ability to re-purpose/enhance codes of published open source algorithms based on use case
- Statistics -Understanding of test /control analysis, confidence intervals, bootstrap
- Excel
- Excel basics
- Charts and Graphs
- Functions
- Pivot tables
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