Senior Lead Data Scientist

Company : Greenthumbs

Job Type : Full Time

Mumbai, India

Number of Applicants

:

000+

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Job Description - Senior Lead Data Scientist

Job Responsibilities

â Work on end -to -end data science lifecycle: from building proof -of concept models to
production -ready models & work with engineers to deploy them to production

â Execute and take ownership of deep learning projects end -to -end. Good exposure to

various deep learning algorithms and frameworks

â Should be able to effortlessly switch between roles of an Individual Contributor, team

member, and data science manager as demanded by each project.

â Managing analysts on the project - work distribution and timeline planning for the

projects, training and guiding the analysts

â Be able to manage business people and excellent in pitching your work

â Figure out gaps in existing products and adding intelligence to improve it

â Designing the frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google

ML, Spark etc) to be used for relevant projects

â Timely interfacing with the vendors in resolving their asks and queries along with testing

and verifying their deliverables and refining them.

â Keep updated on latest research in AI and deep learning and find ways in which it can

be used to solve business problems

â Must be able to read research papers (eg: some novel architectures, training techniques,

etc.) and be able to implement it fully to solve our specific problems

Technical Skill Set

â Expert user of Python, R and SQL

â Hands -on experience in handling unstructured (image, video, audio) and build

solutions using Deep Learning / Machine Learning

â Experience in implementing object detection, GAN’s. Knowledge of reinforcement

learning is a plus.

â Good grasp and detailed knowledge of any one deep learning library (PyTorch,

Tensorflow, Caffe etc.) is a must

â Experience with Data Visualization tools like Tableau, Microsoft Power BI and

SiSense

â Exposure to working on AI/Data Science/Analytics platforms likeMicrosoft AI,

Amazon AI, IBM WATSON, H20, Knime

â Strong business acumen to understand business objectives & dynamics and

possess excellent written and verbal communication skills for coordinating across

teams

â Experience in analysing complex problems and translating them to data science

algorithms with due attention to computational efficiency and testing at scale.

â Experience in machine learning, supervised and unsupervised:Forecasting,

Classification, Data/Text Mining, NLP, Decision Trees,

â Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural

Networks, Deep Learning Algorithms.

â Experience in statistical learning: Predictive & Prescriptive Analytics, Parametric

and Non -parametric models, Regression,

â Time Series, Dynamic / Causal Model, Statistical Learning, Guided Decisions,

Topic Modeling

â Strong hold of concepts in Statistics and expertise in Machine Logs Processing,

text mining and text analytics

â Self -motivated, ability to handle ambiguity

â Strong problem solving skills

Essential Qualification

Masters/PhD in a Quantitative & Engineering disciplines - Mathematics,

Statistics, Physics, Computer Science, Electronics, and Data Mining etc.

BE/BTech

Requirements

Essential Qualification

Masters/PhD in a Quantitative & Engineering disciplines - Mathematics,

Statistics, Physics, Computer Science, Electronics, and Data Mining etc.

BE/BTech

Experience

â 7 -9 years of strong experience in data mining, machine learning and statistical

analysis

â Prior experience in implementing production -level deep learning projects is a

must

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