Data Science Leader

4 days ago

BangaloreChennai, India MNR Solutions Full time

Job Title: Data Science Leader

Salary: $120,000 - $180,000 per year

About MNR Solutions

MNR Solutions is a cutting-edge technology company that utilizes innovative data science techniques to drive business growth.

Job Description

The Data Scientist will be responsible for analyzing complex data sets to derive actionable insights and drive data-driven decision-making within the organization. This role requires expertise in machine learning, natural language processing (NLP), deep learning, and cloud technologies.

Main Responsibilities:

  • Analyze large datasets to identify trends, patterns, and correlations using statistical techniques.
  • Develop predictive models using machine learning and deep learning algorithms to solve business problems.
  • Implement NLP techniques to analyze textual data and derive insights from unstructured data sources.
  • Build and optimize models for tasks such as sentiment analysis, text classification, and entity recognition.
  • Conduct time series analysis and forecasting to support business decision-making and trend analysis.
  • Predict future values based on historical data.
  • Explore and implement generative AI techniques to enhance existing models and create innovative solutions.
  • Stay updated on advancements in generative AI and assess their applicability to business use cases.
  • Utilize cloud platforms for data storage, processing, and model deployment.
  • Ensure scalability and efficiency of data science solutions by leveraging cloud technologies.

Requirements:

  • 3+ years of experience in data science, machine learning, or a related field.
  • Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong knowledge of NLP techniques and libraries (e.g., NLTK, SpaCy, Hugging Face).
  • Experience with time series analysis and forecasting methodologies.
  • Programming skills in languages such as Python or R.
  • Familiarity with data manipulation and visualization tools (e.g., Pandas, Matplotlib, Seaborn).
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and model deployment.

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