The Good Glamm Group Hiring Drive 2024: The Good Glamm Group Hiring Drive 2024 for its Data Scientist. The Good Glamm Group Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor s degree. if you are interested, please apply as soon as possible.
Company Name: The Good Glamm Group
Role: Data Scientist
Location: Mumbai
Experience: 1-3 years
Qualification: Bachelor s degree
Batch: Any
Job Type: Full Time
Salary: 14 LPA (Expected)
The Good Glamm Group Hiring Drive 2024
Job Description:
- We are looking for a Data Scientist to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products.
- The role is an Individual contributor for applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our properties.
- Role will directly collaborate with the CXOs to work on critical projects which will drive profitability.
Requirements:
- 1-3 years of hands-on experience in data science, machine learning, and statistical analysis.
- Proficiency in Python programming language and experience with data manipulation libraries (e.g., pandas, NumPy).
- Strong knowledge of machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience with data visualization tools (e.g., Matplotlib, Sea
- Solid understanding of SQL and database management
- Strong problem-solving skills and analytical skills.
- Reporting background will be a plus (about 10% of job role)
- Experience in NLP is a plus
- Experience in Computer Vision (Tensorflow/Fastai/OpenCV etc.) is a plus
- leverage LLMs to to build models.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications
- Excellent written and verbal communication skills for coordinating across teams
- Ecommerce experience preferred
Responsibility:
- Analyze large datasets to extract valuable insights, patterns, and trends, and present findings to support strategic decision-making.
- Design, develop, and implement machine learning and statistical models to solve complex business problems, such as recommendation systems, predictive analytics, and customer segmentation.
- Gather, clean, and preprocess data to ensure its quality and reliability for modeling and analysis.
- Create visualizations and dashboards to effectively communicate data-driven insights to non-technical stakeholders.
- Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to understand business needs and translate them into data science solutions.
- Assess the performance of models, refine them, and iterate as needed to improve accuracy and reliability.
- Extending company’s data with third party sources of information when needed
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