Junior Data Science Engineer

• 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)