Neoneclat Hiring Drive 2024: Neoneclat Hiring Drive 2024 for its Data Science Engineer. Neoneclat Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree or advanced degree in statistics, Mathematics, or a related field. if you are interested, please apply as soon as possible.
Company Name: Neoneclat
Role: Data Science Engineer
Location: Hyderabad, Pune, Bengaluru
Experience: 0 – 4 years
Qualification: Bachelor’s degree or advanced degree, Statistics, Mathematics, or a related field.
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Neoneclat Hiring Drive 2024
Job Description:
- We are seeking a talented fresher Data Scientist to join our dynamic team.
- As a Data Scientist you will play a crucial role in leveraging data to drive insights and optimize various aspects of our e-commerce platform.
- You will work closely with cross-functional teams to develop and deploy machine learning models, enhance data-driven strategies, and contribute to the growth and success of our business.
Requirements:
- Bachelor degree or advanced degree , Statistics, Mathematics, or a related field.
- 0-4 years of proven experience in data science roles within consumer tech companies, preferably in the e-commerce industry.
- Strong proficiency in machine learning algorithms, statistical analysis, and data manipulation techniques.
- knowledge in building and deploying machine learning models in production environments, with a focus on scalability and reliability.
- Familiarity with MLOps practices is desirable.
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Proficiency in programming languages such as Python, R, or similar, along with experience with relevant libraries and frameworks (e. g., TensorFlow, PyTorch, sci-kit-learn).
- Strong problem-solving skills and a proactive approach to addressing business challenges using data-driven methodologies
Responsibility:
- Extract insights and develop solutions that address complex challenges in the e-commerce domain.
- Apply strong machine learning and statistical fundamentals to analyze large datasets, identify patterns, and generate actionable insights.
- Lead the design, implementation, and maintenance of production-level machine learning systems, ensuring scalability, reliability, and efficiency. Familiarity with the MLOps lifecycle is a plus.
- Collaborate with stakeholders across the organization to understand business requirements, translate them into data science projects, and drive discussions to deliver impactful solutions.
- Communicate findings and results effectively to both technical and non-technical audiences through clear documentation, presentations, and reports.
- Stay abreast of the latest advancements in data science, machine learning, and e-commerce trends, and incorporate them into our practices to maintain a competitive edge.
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