Junior Data Science Engineer
Junior Data Science Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
0-1years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- 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
Benefits
- Opportunities for high-speed professional growth and development.
- Collaborative and supportive work environment.
- Training (Technical & Soft skills)
Required Skills:
Diploma in Computer Science/Electronics or bachelors 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.
Employment Type
Full Time
