Junior Data Science Engineer
10 hours ago
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 dataDevelop 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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