Lotus Interworks Hiring Drive 2024 For Data Scientist | Work From Home

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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.


  • 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.


  • 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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