Data Scientist (Machine Learning)

Role: Data Scientist - Machine Learning

Experience: 5-12 Years

Work Type: Hybrid

Location: Hyderabad

Required Skills
 Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline)
 Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc.
 Experience with SQL, Excel, Tableau/ Power BI, PowerPoint
 Predictive modelling experience in Python (Time Series/ Multivariable/ Causal)
 Experience applying various machine learning techniques and understanding the key parameters that affect their performance
 Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs
 Excellent verbal and written communication
 Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects.

Roles & Responsibilities
 Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities:
 Connect with internal / external POC to understand the business requirements
 Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis
 Create project plan and sprints for milestones / deliverables
 Spin VM, create and optimize clusters for Data Science workflows
 Create data pipelines to ingest data effectively
 Assure the quality of data with proactive checks and resolve the gaps
 Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms
 Research whether similar solutions have been already developed before building ML models
 Create optimized data models to query relevant data efficiently
 Run relevant ML / DL algorithms for business goal seek
 Optimize and validate these ML / DL models to scale
 Create light applications, simulators, and scenario builders to help business consume the end outputs
 Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively
 Integrate and operationalize the models in client ecosystem
 Document project artifacts and log failures and exceptions.
 Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks.

Skills: machine learning,python,algorithms,tableau,sql,power bi,kpi,numpy,pandas,quantitative analytics,data structures,