Winit Hiring Drive 2024: Winit Hiring Drive 2024 for its Data Scientist Trainee. Winit Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. if you are interested, please apply as soon as possible.
Company Name: Winit
Role: Data Scientist Trainee
Location: Hyderabad
Experience: 0-1 year
Qualification: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Winit Hiring Drive 2024
Job Description:
- We are seeking a talented Data Scientist proficient in data science, machine learning, deep learning, computer vision, simulation, feature engineering, Python, and SQL.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- Proven experience in data science, machine learning, and deep learning projects, preferably with a focus on computer vision.
- Strong proficiency in Python programming and experience with relevant libraries such as TensorFlow, PyTorch, OpenCV, etc.
- Solid understanding of SQL for data manipulation and extraction.
- Experience with simulation techniques, route optimization algorithms, demand forecasting, and trade promo optimization is a plus.
- Ability to work both independently and collaboratively in a fast-paced environment.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
Responsibility:
- Develop and implement machine learning and deep learning algorithms for image recognition tasks.
- Utilize computer vision techniques to extract meaningful information from images.
- Collaborate with software engineers to integrate image recognition models into existing systems.
- Design and implement simulation models for route optimization, demand forecasting, and trade promo optimization scenarios.
- Perform feature engineering to extract relevant features for optimization algorithms.
- Work with large datasets, cleaning, preprocessing, and transforming data as necessary.
- Develop and optimize SQL queries to extract and analyze data from databases.
- Participate in the end-to-end development lifecycle, from problem definition to deployment.
- Stay updated with the latest advancements in machine learning, computer vision, route optimization, demand forecasting, and trade promo optimization techniques.
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