We are looking for an Entry Level ML Engineer/Research Data Scientist. Candidates will be trained in Data Science tools and technologies to help us discover the information hidden in vast amounts of data to make smarter decisions and deliver even better products. Your primary focus will be on building PoCs or MVPs by applying data mining techniques, doing statistical analysis, and building quality prediction systems that can be integrated into or scalable to commercial products. 

Responsibilities:

• Analysing the business problem and arriving on data-driven solutions, that may improve, productivity, efficiency and return on investments(ROI)
• Selecting features, building and optimizing classifiers using machine learning techniques.
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing the ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• You may design and develop machine learning and deep learning systems, PoCs, MVPs
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results

Skills and Qualifications:

• 0-3 years experience in object-oriented software programming such as Java, Python
• Exposure with common data science toolkits, such as R, Python, NumPy, SciPy, Matplotlib, etc
• Experience in using query languages such as SQL
• Strong Mathematics and good applied statistics skills, such as distributions, statistical testing, regression, etc
• Data-oriented, hardworking, entrepreneurial and research mindset
• Bsc/Msc CS/Software Systems/Math/Stat, MCA, BE/B.Tech or Masters in Mathematics / Statistics / Operational Research / IT
• PhD with programming background is desirable