Job Details
Position: Data Scientist (ML/AI)
Location: Multiple Location
Work Mode: Onsite/Hybrid
Duration: Long-term- Contractual
Job Description:
- Data scientists use their knowledge of statistics, data analysis and communication to extract meaning from data.
- They sift through massive repositories of information to uncover hidden patterns and trends, using these insights to build models and algorithms that can make predictions, solve complex problems, and ultimately, help organizations make better decisions.
- The role is essential to creating and maintaining ML and AI models.
Required Skills and Qualifications:
Educational Qualification:
- Bachelor's, or Master's, degree in Computer Science or a related field.
Technical Skills:
- Strong proficiency in Python or R for data analysis and machine learning.
- Expertise in machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
- Proficient in SQL for querying relational databases.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and distributed computing.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau).
- Strong statistical analysis skills (e.g., hypothesis testing, regression analysis, time series analysis).
Experience:
- Proven experience in data science, machine learning, or a similar analytical role (3+ years preferred).
- Experience with NLP, data preprocessing, feature engineering, and model deployment.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) for scalable data processing.
Soft Skills:
- Strong problem-solving abilities and critical thinking skills.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Strong attention to detail and commitment to high-quality output.
- Ability to work collaboratively in a fast-paced, dynamic environment.
