Data Scientist - R/Python/SQL (5-8 yrs)

Payroll : SA Tech.

Client : Inspera.

Position : Data Scientist.

Exp : 5-8 Years.

Location : Bangalore [3 Days in SA Tech office].

Basic Qualifications :

- Proficiency in programming languages such as Python, SQL, R etc.

- Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.

- 4-6 years of academic and relevant industry experience.

- Proven experience as a Data Scientist with a strong portfolio of data science projects.

- Experience in a specific industry (i.e., Edtech, finance,retail) is advantageous.

- Experience with data manipulation and analysis libraries (i.e., Pandas, NumPy, Scikit-learn).

- Familiarity with big data technologies (i.e., Hadoop, Spark) is a plus.

- Knowledge of data visualization tools (i.e., Matplotlib, Seaborn, D3.js).

- Hands-on experience with Databricks for big data processing and analytics.

- Proficiency with the Elastic Stack (Elasticsearch & Kibana) for search and data analysis is a plus.

- Analytical Skills : Strong ability to analyze complex data sets, identify trends, and draw actionable conclusions.

- Communication Skills : Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.

- Problem-Solving : Demonstrated ability to tackle complex problems and develop innovative solutions.

Preferred Qualifications :

- Bachelor's, Master's or PhD degree in CS, Statistics, Applied Math, Operations.

- Research, Economics, or a related quantitative field with at least 3 years of working experience as a Data Scientist.

- Experience with cloud platforms (i.e., AWS, Azure, Google Cloud).

- Knowledge of advanced machine learning techniques (i.e., deep learning, natural language processing).

- Familiarity with business intelligence tools and methodologies.

Position Overview :

We are seeking a highly skilled Data Scientist to join our team.

The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning coupled with excellent problem-solving abilities and a keen business sense. You will work closely with cross-functional teams to extract insights from complex datasets and drive data-driven decision-making.

Key Responsibilities :

- Data Analysis : Collect, clean, and preprocess large datasets from various sources.

- Perform exploratory data analysis to uncover patterns and insights.

- Statistical Modeling : Develop and implement statistical models and algorithms to address business problems.

- Validate models and perform performance evaluations.

- Machine Learning : Design, train, and deploy machine learning models to predict outcomes and automate processes. Continuously improve model accuracy and efficiency.

- Collaboration : Work with data engineers, analysts, and other team members to understand business requirements and provide data-driven solutions.

- Continuous Learning : Stay updated with the latest industry trends, technologies, and best practices in data science and machine learning.