Data Scientist
Analytics Vidhya
Startup-Based Company
Job Description
Analytics Vidhya is hiring Data Scientists to work on challenging data science problems across various industry domains. You will develop machine learning models, perform statistical analysis, and extract insights from complex datasets. Responsibilities include designing and implementing predictive models, creating data pipelines, and developing analytics solutions for client projects. Work on natural language processing, computer vision, recommendation systems, or time series forecasting based on project requirements. Participate in hackathons and data science competitions. Collaborate with domain experts to understand business problems and formulate data-driven solutions. This remote role offers opportunity to work on diverse projects, publish research papers, and contribute to open-source data science community with flexible work arrangements and continuous learning opportunities.
Requirements
Strong background in statistics, mathematics, or computer science required. Proficiency in Python or R programming essential. Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch) important. Knowledge of SQL and database systems necessary. Understanding of data visualization tools and techniques beneficial. Experience with big data technologies (Hadoop, Spark) advantageous. Strong analytical and problem-solving skills required. Ability to communicate technical concepts to non-technical stakeholders important. Freshers with strong data science portfolio encouraged to apply. Passion for data exploration and pattern discovery essential. Willingness to learn new techniques and tools continuously important.
Required Skills
Python
R
Machine Learning
Statistics
SQL
Data Visualization
Big Data
Hiring Insights
- Hiring Status: actively hiring
- Batch Priority: 2023-2025
- Expected Response Time: 1-2 weeks
- Preferred Qualification: B.Tech,BE,M.Tech,MSc
Note: Insights are based on previous hiring patterns and community feedback.
Selection Process
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Step 1 Skill Test
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Step 2 Project Review
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Step 3 Technical Interview
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Step 4 Case Study Discussion
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Step 5 Final Selection
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Step 6 Final ResultDuration: 1-2 weeks
Typical process based on past hiring patterns at startup-based companies.
Who Should Apply
Data science enthusiasts with strong analytical and ML skills.
Common Reasons for Rejection
- Weak ML fundamentals
- Poor statistical knowledge
- Limited coding skills