Data Science - Manager

Data Science: Manager

Experience: 10-14 years

Overview: We are looking for a seasoned Data Scientist with expertise in Machine Learning and NLP/GenAI to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.

Key Responsibilities:

Lead and grow client accounts with onshore stakeholders.
Lead accounts delivery team focused on data science and AI, having hands on delivery responsibility as well
Develop and implement advanced machine learning models and GenAI based solutions in client projects
Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets., evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
Should have a solid understanding of NLP starting from transformers to the new generation LLMs
Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing.
Mentor juniors and other team members
Communicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications:

Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, Economics or a related field;
Strong skills in Python, SQL, API and backend integration, code version control and docker
In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
Hands-on experience with Retriever Augmented Generations, Agentic Frameworks either in POC or client engagements
Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
Comfortable with at-least one cloud provider between Azure, GCP or AWS
Ability to work independently, manage multiple projects, and meet tight deadlines in a fast-paced environment.
Ability to pickup new technology as it comes
Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.

Data Science: Manager

Experience: 10-14 years

Key Responsibilities:

Lead and grow client accounts with onshore stakeholders.
Lead accounts delivery team focused on data science and AI, having hands on delivery responsibility as well
Develop and implement advanced machine learning models and GenAI based solutions in client projects
Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets., evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
Should have a solid understanding of NLP starting from transformers to the new generation LLMs
Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing.
Mentor juniors and other team members
Communicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications:

Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, Economics or a related field;
Strong skills in Python, SQL, API and backend integration, code version control and docker
In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
Hands-on experience with Retriever Augmented Generations, Agentic Frameworks either in POC or client engagements
Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
Comfortable with at-least one cloud provider between Azure, GCP or AWS
Ability to work independently, manage multiple projects, and meet tight deadlines in a fast-paced environment.
Ability to pickup new technology as it comes
Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.

Data Science: Manager

Experience: 10-14 years

Key Responsibilities:

Lead and grow client accounts with onshore stakeholders.
Lead accounts delivery team focused on data science and AI, having hands on delivery responsibility as well
Develop and implement advanced machine learning models and GenAI based solutions in client projects
Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets., evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
Should have a solid understanding of NLP starting from transformers to the new generation LLMs
Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing.
Mentor juniors and other team members
Communicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications:

Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, Economics or a related field;
Strong skills in Python, SQL, API and backend integration, code version control and docker
In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
Hands-on experience with Retriever Augmented Generations, Agentic Frameworks either in POC or client engagements
Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
Comfortable with at-least one cloud provider between Azure, GCP or AWS
Ability to work independently, manage multiple projects, and meet tight deadlines in a fast-paced environment.
Ability to pickup new technology as it comes
Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.