Ability to work individually or mentor a small group in an Agile development environment.
Communicate effectively with global customers and collaborate well within a team environment to drive results.
Embrace new technologies and work with various tools and technologies to achieve desired functionality.
Work on problems of diverse scope, develop solutions to technology challenges and deliver the requirements before the deadlines.
Follow standard practices and procedures in analyzing situations or data from which answers can readily be obtained.
Contributing to your BU/Practice by
Documenting your learnings from the current work and engaging in the external tech community by writing blogs, contributing in Github, Stack overflow, meet-ups/conferences etc.
Keep updated on the latest technologies with technology trainings and certifications
Actively participate in organization level activities and events related to learning, formal training, interviewing, special projects etc.
Required:
Have 5yrs of relevant experience as Data Scientist
Design the approach for machine learning \Data Science solution.
Create Work break down structure based on the approach and experiments.
Develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning or data mining techniques
Use statistics and data mining techniques, including, random forest, GLM/regression, text mining.
Perform statistical tests like t-test, p-test ,ANOVA Chi-Square to test the hypothesis and report results .
Perform multiple experiments using Machine learning and advanced AI algorithms like Random Forest, Neural Networks, LSTM, Logistic Regression, Linear Regression, Decision Trees , KNN, Clustering Time series forecasting besides others
Work in iterative processes with the client and validate findings
Organization metrics will be established and the time series of all these metrics will be maintained to establish baseline. Trends will be calculated based on the baseline and set targets. The relevance of such measurements will be maintained by collaborating with partners\Stakeholders to understand their needs.
Work in iterative processes with the client and validate findings
For large scope projects , Lead a team of data scientists to align to tasks experiments designed.
Design suitable evaluation strategies to test and select the best Machine learning model to be deployed.
Experience on NLP projects is preferred .
Experience in tuning and leveraging language models like BERT.
Knowledge\Understanding on state of the art models in NLP.
Understand business anomalies around good\bad results.
Integrated Data Preparation and Machine learning model using Python,R and SQL stack to conduct more robust experiments.