Data Science Expert for AI Innovation
1 week ago
About Skill Secure AI:
We're a rapidly growing organization leveraging the power of data to enhance customer experiences, drive business decisions, and optimize operations. As a Data Scientist-Delhi, you'll help us unlock valuable insights and shape the future of data-driven solutions.
Key Responsibilities:
Analyze large datasets to identify trends, patterns, and actionable insights.
Assist in building and refining machine learning models and algorithms.
Perform data cleaning, transformation, and preprocessing for analysis.
Help create compelling data visualizations and dashboards to communicate findings.
Contribute to the development of predictive models to solve business challenges.
Work closely with senior data scientists on a variety of data-driven projects.
Participate in exploratory data analysis (EDA) to inform business decisions.
Assist in documenting and presenting results to non-technical stakeholders.
Requirements:
Basic proficiency in Python, R, or SQL for data analysis.
Understanding of core data science concepts including machine learning, data visualization, and statistical analysis.
Familiarity with data analysis libraries such as Pandas, NumPy, Matplotlib, Seaborn.
Knowledge of machine learning frameworks like Scikit-learn, TensorFlow, or Keras is a plus.
Experience with databases and querying (e.g., MySQL, PostgreSQL) is beneficial.
Strong problem-solving and analytical skills with a keen attention to detail.
Ability to work both independently and as part of a team.
Strong communication skills with the ability to present data insights in a clear and concise manner.
Eagerness to learn and apply new data science tools and techniques.
Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Salary: ₹800000 - ₹1200000 per annum, depending on experience.
Benefits:
Real-world experience working on data-driven projects.
Mentorship from experienced data scientists.
Exposure to the latest tools and technologies in data science.
The opportunity to contribute to meaningful business decisions.
A collaborative and fast-paced work environment.
Internship Certificate
Letter of Recommendation
Performance-Based Stipend
Part-time work from home (2-3 hours per day)
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