Chief Data Insight Strategist

9 hours ago

Vizag, Andhra Pradesh, India beBeeDataScientist Full time ₹ 25,00,000 - ₹ 50,00,000

About Our Senior Data Scientist Role:

We are looking for a highly skilled and experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision techniques, with the ability to apply them to real-world problems.

Key Responsibilities:

  • Act as a data expert, handling, extraction, manipulation; creating structured forms of data and deriving valuable insights from it
  • Uses predictive modelling, statistics, trend analysis, and other data analysis techniques to explore data and answer specific research questions
  • Design, develop, and implement end-to-end data science solutions using structured and unstructured data
  • Take inputs from managers or consultants to develop statistical models (predictive modelling, forecasting etc.) and apply appropriate techniques such as Exploratory Analysis, Regression, and Association etc.
  • Develop executive presentations to present analytical insights derived from data analysis
  • Flexible to work on any problem statement in AI-ML space (NLP, CV & Predictive Analytics & Maintenance etc.)
  • Must have business problem understanding specifically from Automobile, Manufacturing, E-commerce, Aviation & digital domains
  • Able to deal well with ambiguity and act with autonomy
  • Collaborates with teams to improve computational model effectiveness through data and feedback from stakeholders
  • Supports development of machine learning models with guidance from senior colleagues
  • Supports and mentors junior data science team members as needed

Required Skills & Qualifications:

  • 5+ years of experience as a Data Scientist or ML Engineer, working on real-world AI/ML projects
  • Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques
  • Hands-on experience with Generative AI models (LLMs, VLMs, MLLMs), and an understanding of multi-modal neural networks and Transformer architectures
  • Proficiency in Python, R, and key ML/DL libraries (Scikit-learn, Pandas, TensorFlow, PyTorch, etc.)
  • Strong knowledge of SQL-based and NoSQL databases (MySQL, PostgreSQL, Oracle, MongoDB)
  • Experience with statistical tools and platforms like WEKA, KNIME, Power BI, etc.
  • Working experience with Big Data technologies – HDFS, Spark, Hive, Sqoop, MapReduce
  • Good understanding of cloud platforms (AWS, Azure, or GCP) – any hands-on experience is a plus
  • Excellent analytical, problem-solving, and communication skills
  • Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable
  • Able to work both independently and within a team setting with a proactive mindset

Preferred Qualifications:

  • Education: A bachelor's degree in computer science, computer engineering, information technology, or a related field is typically the minimum requirement. A master's degree in data science, or a related field for advanced roles is preferred
  • Experience: 5+ years of experience in related fields such as database administration, data engineering, programming, and data analytics

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