Data Science Professional

3 days ago

Bengaluru, Karnataka, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 25,00,000

Job Opportunity:

  • As a seasoned data professional, you will leverage your expertise in statistical analysis, modeling, machine learning, and deep learning to drive business value for our clients.
  • With 3-11 years of experience in data science, you will focus on delivering high-quality solutions that meet the evolving needs of our clients.
  • Excellent communication and presentation skills are essential for this role, as you will collaborate with cross-functional teams and stakeholders to achieve business objectives.
  • The ideal candidate will possess a strong understanding of statistical concepts, including machine learning and deep learning, and be proficient in programming languages such as R, Python, or SAS.
  • Able to design and review new solution concepts using time series forecasting, regression/classification modeling, and clustering techniques.
  • Experience with cloud-based analytics platforms, such as Azure, GCP, or AWS, is required.
  • Good understanding of different DBMS and SQL proficiency is necessary.

Main Responsibilities:

  • Develop and implement machine learning and deep learning techniques to enhance client value-add.
  • Collaborate with cross-functional teams to achieve business objectives and deliver high-quality solutions.
  • Design and review new solution concepts to meet the evolving needs of our clients.
  • Evaluate and implement advanced techniques to enhance client satisfaction.

Requirements:

  • Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science.
  • At least 3-11 years of experience in data science.
  • Excellent communication and presentation skills.
  • Proficiency in programming languages, such as R, Python, or SAS.
  • Experience with cloud-based analytics platforms, such as Azure, GCP, or AWS.
  • Good understanding of different DBMS and SQL proficiency.

Preferred Qualifications:

  • Masters or Ph.D. in a quantitative field, such as mathematics, statistics, or computer science.
  • Expertise in machine learning and deep learning techniques.
  • Experience with big data processing tools, such as Hadoop or Spark.
  • Knowledge of data visualization tools, such as Tableau or Power BI.

About Our Team:

We are an innovative technology company providing data-driven solutions to businesses.

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