Data Scientist

2 weeks ago

Bengaluru Karnataka, India Quess IT Staffing Full time

**About Us**

“Quess IT Staffing is India’s largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills. Our associates help enable cutting edge solutions some of the biggest names across industried. Quess IT Staffing is a division of Quess Corp Limited, India’s leading business services provider and largest domestic private sector employer. Quess Corp Limited is - ‘A Great Place to Work’ certified - a testament to our excellent culture, people, and processes.”

**About Company**

**Roles and Responsibility**

Job Title: Data scientist

Experience: 4-8 years

Notice period: Immediate to 15 days

Location: Bangalore

JD:
Key Responsibilities:

- Conduct data exploration, cleaning, and preprocessing tasks to prepare datasets for analysis and modeling.
- Perform statistical analysis, hypothesis testing, and data mining to extract meaningful patterns and insights.
- Develop and implement machine learning algorithms and models for predictive analytics, classification, regression, and clustering.
- Collaborate with cross-functional teams to understand business requirements, identify data-driven opportunities, and propose solutions.
- Design and conduct experiments, A/B testing, and model validation to evaluate model performance and effectiveness.
- Build and deploy scalable and efficient data pipelines for data ingestion, transformation, and storage.
- Utilize programming languages such as Python, R, or SQL for data analysis, modeling, and visualization.
- Work with big data technologies and platforms such as Hadoop, Spark, or AWS/GCP/Azure services.
- Communicate findings, insights, and recommendations to stakeholders through reports, dashboards, and presentations.

Skills and Qualifications:

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
- 4-8 years of hands-on experience in data science, machine learning, or related roles.
- Proficiency in programming languages such as Python, R, or SQL for data analysis and modeling.
- Strong understanding of statistical concepts, hypothesis testing, and experimental design.
- Experience with machine learning algorithms, techniques, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Knowledge of big data technologies and platforms (Hadoop, Spark, AWS/GCP/Azure) for handling large-scale datasets.
- Excellent analytical and problem-solving skills, with the ability to work with complex and unstructured data.
- Strong communication and collaboration abilities, with the capability to explain technical concepts to non-technical stakeholders.
- Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn) is a plus.
- Familiarity with agile methodologies, version control systems (e.g., Git), and software development practices is advantageous.

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