Data Scientist

About Neo Group

Neo Group is a new age, focused Asset Management and Financial Advisory Platform that aims to provide clients with transparent, cost-efficient and unbiased solutions. Through its various business lines, Neo Group serves a vast diaspora of institutional and retail customers across India, with a view to empowering them to pursue their dreams. Assisting in India's glorious aspiration on self-reliance and egalitarian prosperity is Neo's underlying goal, and we are proud to stand united in that journey! We are building the next billion tech for the best wealth management platform and financial ecosystem.

Job Description

You are a data pro with deep statistical knowledge and analytical aptitude. You know how to make sense of massive amounts of data and gather deep insights. You will use statistics, data mining, machine learning, and deep learning techniques to deliver data-driven insights for clients. You will dig deep to understand their challenges and create innovative yet practical solutions.

Responsibilities

• Meeting with the business team to discuss user interface ideas and applications.
• Selecting features, building and optimizing classifiers using machine learning techniques.
• Data mining using state-of-the-art methods.
• Doing ad-hoc analysis and presenting results in a clear manner.
• Optimize application for maximum speed and scalability.
• Assure that all user input is validated before submitting code.
• Collaborate with other team members and stakeholders.
• Taking ownership of features and accountability.

Requirements

• 2+ years’ experience in developing Data Models.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Excellent understanding of NLP and language processing.
• Proficient understanding of Python or PySpark.
• Basic understanding of Python and databases such as MongoDB or MySQL.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Build Acquisition Scorecard Models.
• Build Behaviour Scorecard Models.
• Created Threat Detection Models.
• Created risk profiling model or classification model.
• Build Threat/Fraud Triggers from various sources of data.
• Experience with Data Analysis Libraries - NumPy, Pandas, Statsmodels, Dask.
• Good understanding of Word2vec, RNNs, Transformers, Bert, Resnet, MobileNet, Unet, Mask-RCNN, Siamese Networks, GradCam, image augmentation techniques, GAN, Tensorboard.
• Ability to provide accurate estimates for tasks and detailed breakdowns for planning and managing sprints.
• Deployment experience with Flask, Tensorflow serving, Lambda functions, Docker is a plus.
• Previous Experience leading a DS team is a plus.

Personal Qualities

• An ability to perform well in a fast-paced environment.
• Excellent analytical and multitasking skills.
• Stays up-to-date on emerging technologies.
• Data-oriented personality.