Lotus Interworks Hiring Drive 2024: Lotus Interworks Hiring Drive 2024 for its Data Scientist. Lotus Interworks Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. if you are interested, please apply as soon as possible.
Company Name: Lotus Interworks
Role: Data Scientist
Location: Remote
Experience: Freshers
Qualification: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
Batch: Any
Job Type: Full Time
Salary: 7.5 LPA (Expected)
Lotus Interworks Hiring Drive 2024
Job Description:
- As a Data Scientist, you will be an integral part of our data science team, working closely with senior data scientists and analysts to extract valuable insights from large datasets.
- This role offers an exciting opportunity to apply theoretical knowledge in a real-world setting, contributing to impactful projects that drive business growth and innovation.
Requirements:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. (Master’s degree preferred)
- Strong understanding of fundamental concepts in statistics, probability, and linear algebra.
- Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
- Familiarity with machine learning algorithms and techniques, including supervised and unsupervised learning, regression, classification, clustering, etc.
- Hands-on experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and SQL databases.
- Excellent problem-solving skills and attention to detail.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Eagerness to learn and adapt to new technologies and methodologies in a fast-paced environment.
Responsibility:
- Assist in data collection, cleansing, and preprocessing tasks to ensure data quality and reliability.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Apply statistical analysis and machine learning techniques to derive actionable insights and predictive models.
- Develop and maintain data visualizations and dashboards to communicate findings effectively to stakeholders.
- Participate in research and experimentation to explore new data sources, algorithms, and methodologies.
- Support the implementation and deployment of machine learning models into production environments.
- Stay updated on the latest trends and advancements in data science and related technologies.
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