Junior Data Science Engineer

2 days ago


Thiruvananthapuram, Kerala, India Blue Ripples Technologies Full time ₹ 8,00,000 - ₹ 12,00,000 per year

We are looking for a talented dynamic and curios candidate to join our data team. As a Junior Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our projects. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems.

Responsibilities

  • Data Analysis and Exploration

  • Analyze large, complex datasets to identify trends, patterns, and relationships.

  • Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses.
  • Utilize statistical methods and data visualization techniques to communicate findings effectively.

  • Predictive Modeling and Machine Learning
    o Experience and knowledge in analyzing and developing forecasting models using time series data

  • Develop predictive models using machine learning algorithms.

  • Perform feature engineering, model selection, and hyper-parameter tuning to optimize model performance.
  • Ensure that model always meet the relevant evaluation metrics.

  • Data Mining and Pattern Recognition

  • Apply data mining techniques to extract actionable insights from structured and unstructured data.

  • Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.
  • Implement clustering, classification, regression, and other machine learning algorithms as needed.

  • Collaboration and Communication

  • Excellent story telling and presentation skills

  • Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders.
  • Translate technical findings into actionable insights and recommendations for non-technical audiences.
  • Present findings and proposals in clear, concise, and compelling ways.

Requirements


• Diploma in Computer Science/Electronics or bachelor's in computer science/Statistics


• 0 to 1 years of with knowledge in data science, machine learning, generative AI


• Candidates who completed certified courses in data science/AI is preferred


• Passionate Learner, with curiosity to explore and find insights from large datasets


• Strong understanding of statistical analysis, hypothesis testing, and experimental design.


• Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch, etc.).


• Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.).


• Excellent problem-solving and analytical skills with attention to detail.


• Effective communication and collaboration abilities in a team environment.

Benefits

  • Opportunities for high-speed professional growth and development.
  • Collaborative and supportive work environment.
  • Training (Technical & Soft skills)

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