Senior Data Scientist

1 month ago

Delhi, India DMI Finance Private Limited Full time

As a Senior Data Scientist, you are expected to break the business problem into a data science problem with clear demarcation of what we have, what we need and what needs to be done to ensure the business problem is solved with an optimal analytical model.

1. Visualizing the scope of the project end to end
Identify the expected outcome
Figure out the data present and required for successful completion of the project
Defining the scope and effort needed for project execution
Devising monitoring frameworks

2. Stakeholder management
You should be able to communicate with business stakeholders proactively to find out their pain points and propose a data backed solution to them
Should be able to formulate the complete steps to execution of the project with clarity on timelines
Should be good with data storytelling to ensure analytical models are easy to consume for different business functions

3. Data standardization and integrity efforts
Ensuring we keep sanitizing our data sources and keep raising flags to functions who own these data sources for data issues
Ensure checks and reporting engines are in place to pick up anomalies in data pipeline

4. Project management
Ensure timely closure of projects on or before committed timelines
Step by step monitoring of Projects from whiteboarding to deployment
Ensure model monitoring and communication around unusual spikes (if any)

5. Mentoring
Mentoring junior resources on their projects
You must bring your industry experience into the project to ensure junior resources are able to correlate their work with business impact

1. SKILLS AND KNOWLEDGE
Proficiency in Python/R
Pyspark and cloud tech exposure is a plus
Expertise in SQL querying
Product and model deployment on cloud platforms like GCP/AWS

Educational Qualifications

Qualifications
Qualifications preferred: PhD/Masters/Bachelors in Statistics, Engineering, Economics, Machine learning, Computer science, IT etc.
Work Experience
Proven experience of 4+ year of relevant experience
Other skills – Data Interpretation, Visualization, Programming
Knowledge of underlying mathematical foundations of statistics, ML and analytics
Experience in EDA, model development and validation
Experience in building and evaluating algorithms and optimizing the ML models in production
Experience in productionizing algorithms for real – time systems
Experience in influencing product and sourcing strategies with data centric presentations
Experiencing with statistics for statistical inferences, testing strategies, evaluating regression problems

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