Develop and deploy machine learning models and evaluate their performance
Generate descriptive analytics and visualize data in ways to provide insights
Investigate issues with either the quantitative output or the logical delivery (i.e., systems issues) for different models
Demonstrate skills working with teams to deliver data science driven solutions
Requisites Education:
Bachelor or masters in engineering Science Statistics Mathematics or an equivalent degree from an institution of repute.
Experience (Years):
1 to 4 years of relevant experience in building data science solutions for solving business problems
Job Requirements
Strong foundations in data structures and algorithms
Data handling, preprocessing and dataset preparation
Visual storytelling - data visualization using python matplotlib, seaborn, plotly or R graphics packages
Strong conceptual knowledge in standard and ensemble machine learning techniques
Regression and timeseries analysis
Strong SQL skills
Familiarity with Scikit learn, pandas, sqlAlchemy
Expertise in python development
Data processing using Apache spark
Familiarity with neural network architectures and using pre-trained ML models
Familiarity in using version control systems like git
Strong know-how on model development cycle and deployment
Job Responsibilities
Relate to business problems and understand business data
Demonstrate strong skills in data preprocessing and data wrangling
Process, cleanse and verify the integrity of data used for analysis
Be capable to analyze high volume of data and derive insights, correlations
Enhance data collection procedures to include information that is relevant to building analytic systems
Implement statistical and machine learning models and evaluate the outcome
Visualize data and present insights to business
Work in iterative processes with the client or team and validate findings
Collaborate with engineering and product development teams
Perform ad-hoc analysis and present results in a coherent manner
Create automated anomaly detection systems and constant tracking of its performance
Follow agile practices and complete the tasks allocated as planned
Be adept in timely communication on work progress
Other Skills
Knowledge and experience in Scrum framework Agile methodology
Provable excellence in past record, problem solving and analytical skills, a penchant to excel, a strong urge to learn, interpersonal skills to work with and an inclusive attitude to respect diverse individuals and perspectives