Data Analyst Lead

4 days ago

Jodhpur, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Opportunity

We are seeking a highly skilled and motivated Senior Data Scientist with expertise in Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision techniques to apply advanced analytics to real-world problems.

Key Responsibilities:

  • Act as a data expert for data handling, extraction, manipulation; creating structured form of data and pulling tangible insights from data.
  • Use predictive modeling, 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 the Manager/Consultant to develop statistical models (predictive modeling, 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.
  • Flexibility to work on any problem statement in the space of AI-ML (NLP, CV & Predictive Analytics & Maintenance etc.).
  • Must have a business problem understanding specifically from the domain of Automobile, Manufacturing, E-commerce, Aviation, and Digital Platforms.
  • Ability to deal well with ambiguity and act with autonomy.
  • Collaborate with the team to improve the effectiveness of computational models through the use of data and feedback from stakeholders.
  • Support development of machine learning models with guidance from more senior coworkers.
  • Support and mentor 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.
  • Ability 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. Preferred a master's degree in data science or a related field for advanced roles.
  • Experience: Data Scientist requires 5+ years of experience in related fields such as database administration, data engineering, programming, and data analytics.

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