Chief Analytics Strategist

2 days ago

Belgaum, Karnataka, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
Lead Data Insights Professional

We are seeking a skilled and innovative Lead Data Insights Professional to join our organization. As a key member of our team, you will play a vital role in driving business growth through data-driven decision making.

  • Support senior leadership in developing and implementing data-driven strategies to drive business outcomes.
  • Conduct end-to-end machine learning and data analytics activities, including data wrangling, feature engineering, building and evaluating ML models.
  • Develop and maintain complex datasets, performing data engineering, feature engineering, and data preprocessing tasks.
  • Collaborate with cross-functional teams to analyze, extract, normalize, and label relevant data.
Requirements:
  • 3-5 years of experience in data analytics and machine learning.
  • Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
  • Proficiency in writing production-quality code in Python, with a strong understanding of object-oriented programming principles.
  • Proven experience in analyzing and working with large datasets.
  • Hands-on experience with various Business Intelligence tools.
Benefits:
  • Opportunity to work with a talented team of professionals.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.
What We Offer:
  • A competitive compensation package.
  • A comprehensive benefits program.
  • Opportunities for career growth and advancement.

As a Lead Data Insights Professional, you will have the opportunity to work on challenging projects, collaborate with cross-functional teams, and contribute to the growth and success of our organization. If you are a motivated and results-driven professional with a passion for data analysis and machine learning, we encourage you to apply for this exciting opportunity.

Responsibilities include:

  1. Developing and maintaining complex datasets.
  2. Performing data engineering, feature engineering, and data preprocessing tasks.
  3. Collaborating with cross-functional teams to analyze, extract, normalize, and label relevant data.
  4. Building and evaluating machine learning models.
  5. Communicating findings and recommendations to senior leadership.

Required Skills and Qualifications:

  • Experience with machine learning and deep learning techniques.
  • Strong understanding of statistical modeling and data visualization.
  • Proficiency in programming languages such as Python and R.
  • Experience with data management systems such as SQL and NoSQL databases.
  • Excellent communication and presentation skills.

Our ideal candidate is a highly motivated and detail-oriented individual with a passion for data analysis and machine learning. If you are looking for a challenging and rewarding opportunity to grow your career, we encourage you to apply for this exciting position.

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