Business Growth Catalyst

4 days ago

Shimoga, Karnataka, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 25,00,000
Job Overview:

We are seeking a highly skilled professional to drive business growth and profitability through advanced data analysis and modelling.

  • Key Responsibilities:
    • Data Analysis & Modelling: Ensure the accuracy, validity, and robustness of analytical solutions.
    • Stay Up-to-Date: Stay abreast of the latest advancements in data science and machine learning.
    • Business Impact: Translate complex data insights into actionable business recommendations.
    • Stakeholder Management: Build and maintain strong relationships with key stakeholders across the organization.

The ideal candidate will have a Master's degree in Economics, Statistics, Computer Sciences, Mathematics, Operational Research, CA, or Engineering from a reputable institution.

They should possess 2+ years of experience in analytics, preferably financial services or retail business.

A strong proficiency in Python, model development, validation, machine learning, NLP, and marketing analytics is essential.

Hands-on experience with analytics tools like R, SQL, Power BI, and MS Excel is also required.

Deep knowledge of predictive analytics techniques (machine learning algorithms, logistic & linear regression, decision trees, clustering) is necessary.

Expertise in exploratory data analysis (data preparation, exploration, and visualization) is a must.

Excellent communication and presentation skills are crucial for success in this role.

Required Skills & Qualifications:
  • Education: Master's degree in Economics, Statistics, Computer Sciences, Mathematics, Operational Research, CA, or Engineering
  • Experience: 2+ years of experience in analytics, preferably financial services or retail business
  • Technical Skills: Strong proficiency in Python, model development, validation, machine learning, NLP, and marketing analytics
  • Tools & Software: Hands-on experience with analytics tools like R, SQL, Power BI, and MS Excel
  • Predictive Analytics Techniques: Deep knowledge of predictive analytics techniques (machine learning algorithms, logistic & linear regression, decision trees, clustering)
  • Exploratory Data Analysis: Expertise in exploratory data analysis (data preparation, exploration, and visualization)
Benefits:

As a Data Scientist, you will have the opportunity to work on challenging projects, collaborate with a talented team, and grow your career in a dynamic and innovative organization.

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