Data Science Innovator

3 days ago

Kozhikode, Kerala, India beBeeData Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Job Title: Senior Data Science Specialist

Overview of the Role:

We are seeking a highly skilled Senior Data Scientist to apply advanced machine learning and deep learning techniques to real-world problems. As part of our team, you will be responsible for designing, developing, and implementing end-to-end data science solutions using structured and unstructured data.

Key Responsibilities Include:

  • Acting as a data scientist for data handling, extraction, manipulation; creating structured forms of data and pulling tangible insights from data.
  • Using predictive modeling, statistics, trend analysis, and other data analysis techniques to explore data and answer specific research questions.
  • Designing, developing, and implementing end-to-end data science solutions using structured and unstructured data.
  • Developing statistical models (predictive modeling, forecasting etc.) and applying appropriate techniques such as exploratory analysis, regression, and association etc.
  • Developing executive presentations to present analytical insights derived from data analysis.
  • Working on any problem statement in the space of AI-ML (NLP, CV & Predictive Analytics & Maintenance etc.).
  • Must have business problem understanding specifically from the domain of automobile, manufacturing, e-commerce, aviation, and digital things.
  • Ability to deal well with ambiguity and act with autonomy.
  • Collaborating with the team to improve the effectiveness of computational models through the use of data and feedback from stakeholders.
  • Supporting the development of machine learning models with guidance from more senior coworkers.
  • Supporting and mentoring junior data science team members, as needed.

Requirements and 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 scientists require 5+ years of experience in related fields such as database administration, data engineering, programming, and data analytics.

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