Careernet Hiring Drive 2024: Careernet Hiring Drive 2024 for its Data Scientist. Careernet Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree or advanced degree (preferred) in a quantitative research field, such as Computer Science, Data Science, Statistics, Mathematics, or Biological/Physical Sciences. if you are interested, please apply as soon as possible.
Company Name: Careernet
Role: Data Scientist
Location: Bangalore
Experience: 1- 3 Years
Qualification: Bachelor’s degree or advanced degree (preferred) in a quantitative research field, such as Computer Science, Data Science, Statistics, Mathematics, Biological/Physical Sciences
Batch: Any
Job Type: Full Time
Salary: 7 – 13 Lakhs
Careernet Hiring Drive 2024
Requirements:
- Bachelor’s degree or advanced degree (preferred) in a quantitative research field, such as Computer Science, Data Science, Statistics, Mathematics, Biological/Physical Sciences
- 2-4+ years of code development or research experience in a business setting.
- Proficiency with Python and Spark, particularly in Machine Learning contexts.
- Strong understanding and application of machine learning fundamentals.
- Excellent statistical and analytical skills.
- Solid software engineering fundamentals with strong debugging capabilities.
- Experience with collaborative code development practices, including version control, unit/integration testing, code review, and sharing.
- Familiarity with working in a cloud-based environment, preferably AWS.
- Excellent communication and presentation skills in English.
- Strong critical thinking and problem-solving abilities.
- High level of curiosity, skepticism, and attention to detail.
Responsibility:
- Utilize advanced statistical and machine learning techniques to develop models that address business challenges and opportunities.
- Collaborate with cross-functional teams to gather requirements, understand business objectives, and translate them into technical solutions.
- Implement data-driven solutions from model development to deployment in production environments.
- Work with large datasets using SQL for data extraction, manipulation, and analysis.
- Develop and maintain scalable data pipelines and workflows, leveraging tools like Spark for efficient data processing.
- Ensure the accuracy, reliability, and scalability of machine learning models through rigorous testing and validation.
- Communicate findings and insights to technical and non-technical stakeholders through clear and compelling presentations and reports.
- Stay updated with the latest advancements in data science, machine learning, and cloud technologies to propose innovative solutions.
- Adhere to best practices in software development, including documentation, code optimization, and maintaining clean and reusable code.
- Collaborate effectively with team members, participate in code reviews, and contribute to a culture of continuous improvement and knowledge sharing.
Skills:
- Machine Learning
- SQL
- Python
- Model Development
- Deployment
- Cloud
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