Manager - Data Science

2 weeks ago

Gurugram, India MountTalent Consulting Full time

About the job :

We are hiring for Data Science/Data Analytics role for tier1 Management consulting org,

Job location : are we looking for :

Years of Experience : 5+ years

Education : MBA

Add eligibility : Banking and Insurance/Energy and Utilities

Industry domain knowledge

Add about desired experience : 7+ years

Tools & Techniques :

- Data Strategy, Data Architecture and Solution design Knowledge.

- Industry and functional consultation experience.

- Expertise in providing proposals and business architectures, presentations.

- Should have participated in multiple AI based RFP submission.

- Knowledge of Cloud Azure/AWS/Google.

- Knowledge of Python programming preferred.

- Strong domain knowledge of either Energy and Utilities Industry or Banking and Insurance Industry.

- Implementation knowledge of GenAI based solutions will be added advantage.


Roles & Responsibilities :

- Data Acquisition and Wrangling : Collect data from various sources, clean and transform it into a usable format for analysis.


- Exploratory Data Analysis (EDA): Perform exploratory data analysis to understand data distribution, identify patterns, and uncover potential relationships between variables.


- Statistical Modeling: Develop and apply statistical models to analyze data, test hypotheses, and make predictions.


- Machine Learning Model Development: Build, train, and evaluate machine learning models for tasks like classification, regression, or clustering, depending on the project goals.


- Data Visualization: Create clear and informative visualizations to communicate findings to both technical and non-technical audiences.


- Communication and Collaboration: Effectively communicate complex data science concepts to various stakeholders, including business analysts, developers, and executives.


- Stay Up-to-Date: Continuously learn and adapt to new technologies and advancements in the data science field


- Cloud Computing: Experience with cloud platforms (AWS, Azure, GCP) is increasingly desired as data storage and processing often leverage cloud resources.


- Big Data Processing: Familiarity with big data frameworks (Hadoop, Spark) can be valuable for handling massive datasets.


- Data Version Control: Utilizing Git for version control of code and data analysis notebooks is becoming increasingly important.


- Domain Knowledge: In some industries, having specific domain knowledge (e.g., finance, healthcare) can be a significant advantage.

(ref:hirist.tech)

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