
Senior data scientist
6 days ago
Company Description
Akolta Solutions Pvt Ltd is one of the fastest-growing organizations in India, dedicated to helping people find their destinations. The company is well-regarded for its innovative solutions and commitment to customer satisfaction. Akolta Solutions attracts talented professionals who are passionate about making a difference through technology and service excellence.
Role Description
This is a full-time on-site role for a Senior Data Scientist located in Gurugram. As a Senior Data Scientist, you will be responsible for collects and analyzes large datasets to uncover insights and create solutions that support organizational goals. They combine technical, analytical, and communication skills to interpret data and influence decision-making
Responsibilities
:
- Gather data from multiple sources and prepare it for analysis.
- Analyze large volumes of structured and unstructured data to identify trends and patterns.
- Develop machine learning models and predictive algorithms to solve business problems.
- Use statistical techniques to validate findings and ensure accuracy.
- Automate processes using AI tools and programming.
- Create clear, engaging visualizations and reports to communicate results.
- Work closely with different teams to apply data-driven insights.
- Stay updated with the latest tools, technologies, and methods in data science.
Monthly Salary
50,000 to 60,000 (Fixed)
Qualificaion
- Minimum 3 years of experience as Data Scientist( maximum of 2 employers)
- Strong foundation in Statistics
- Expertise in Data Visualization tools and techniques
- Proficiency in programming languages such as Python or R
- Excellent analytical and problem-solving skilla
- Ability to work collaboratively with cross-functional team
- Programming languages: Python, R, SQL.
- Data visualization: Tableau, Power BI, matplotlib.
- Machine learning frameworks: TensorFlow, Scikit-learn, PyTorch.
- Big data platforms: Apache Hadoop, Spark.
- Cloud platforms: AWS, Azure, Google Cloud.
- Statistical tools: SAS, SPSS.
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