Senior Lead Data Scientist
Senior Lead Data Scientist
Posted on :
05-04-2025
Employer Active
1 Vacancy
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Job Description
Job Responsibilities
Work on endtoend data science lifecycle: from building proofof concept models to
productionready models & work with engineers to deploy them to production
productionready models & work with engineers to deploy them to production
Execute and take ownership of deep learning projects endtoend. Good exposure to
various deep learning algorithms and frameworks
Should be able to effortlessly switch between roles of an Individual Contributor team
member and data science manager as demanded by each project.
Managing analysts on the project work distribution and timeline planning for the
projects training and guiding the analysts
Be able to manage business people and excellent in pitching your work
Figure out gaps in existing products and adding intelligence to improve it
Designing the frameworks in data sciences (R Python Azure ML Amazon ML Google
ML Spark etc) to be used for relevant projects
Timely interfacing with the vendors in resolving their asks and queries along with testing
and verifying their deliverables and refining them.
Keep updated on latest research in AI and deep learning and find ways in which it can
be used to solve business problems
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
Expert user of Python R and SQL
Handson experience in handling unstructured (image video audio) and build
solutions using Deep Learning / Machine Learning
Experience in implementing object detection GANs. Knowledge of reinforcement
learning is a plus.
Good grasp and detailed knowledge of any one deep learning library (PyTorch
Tensorflow Caffe etc. is a must
Experience with Data Visualization tools like Tableau Microsoft Power BI and
SiSense
Exposure to working on AI/Data Science/Analytics platforms likeMicrosoft AI
Amazon AI IBM WATSON H20 Knime
Strong business acumen to understand business objectives & dynamics and
possess excellent written and verbal communication skills for coordinating across
teams
Experience in analysing complex problems and translating them to data science
algorithms with due attention to computational efficiency and testing at scale.
Experience in machine learning supervised and unsupervised:Forecasting
Classification Data/Text Mining NLP Decision Trees
Adaptive Decision Algorithms Random Forest Search Algorithms Neural
Networks Deep Learning Algorithms.
Experience in statistical learning: Predictive & Prescriptive Analytics Parametric
and Nonparametric models Regression
Time Series Dynamic / Causal Model Statistical Learning Guided Decisions
Topic Modeling
Strong hold of concepts in Statistics and expertise in Machine Logs Processing
text mining and text analytics
Selfmotivated ability to handle ambiguity
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
79 years of strong experience in data mining machine learning and statistical
analysis
Prior experience in implementing productionlevel deep learning projects is a
must
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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