Data Scientist

Job highlights

• 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
• Knowledge and experience in Scrum framework Agile methodology

A data scientist is expected to:

• 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