Senior Data Scientist - Startup

Responsibilities:

(1) Identify relevant data sources - a combination of data sources to make it useful.

(2) Build the automation of the collection processes.

(3) Pre-processing of structured and unstructured data.

(4) Handle large amounts of information to create the input to analytical Models.

(5) Build predictive models and machine-learning algorithms Innovate Machine-Learning, Deep-Learning algorithms.

(6) Build Network graphs, NLP, Forecasting Models Building data pipelines for end-to-end solutions.

(7) Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.

(8) Participate in Problem solving sessions.

Requirements:

(1) Bachelor's degree in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience.

(2) Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, Network graphs, Natural Language Processing Analytical mind and business acumen.

(3) Strong math skills. (e.g. statistics, algebra)

(4) Problem-solving aptitude Excellent communication skills with ability to communicate technical information.

(5) Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia).

(6) Start-up experience is a plus ideally 5-8 years of advanced analytics experience in startups/marquee companies.