Data Scientist

3 weeks ago

Bengaluru, India Whizz HR Full time

Position Overview :

We are looking for a highly skilled and experienced Senior Data Scientist with 5 to 8 years of experience to join our team.

The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with the ability to leverage data-driven insights to drive business decisions and innovation.

As a Senior Data Scientist, you will play a key role in developing predictive models, conducting advanced analytics, and extracting valuable insights from complex datasets.

Key Responsibilities :

1. Data Analysis and Modeling :

- Perform exploratory data analysis to understand patterns, trends, and relationships within large datasets.

- Develop and implement machine learning algorithms and statistical models to solve business problems and generate actionable insights.

- Utilize advanced analytics techniques such as regression analysis, clustering, and classification to extract meaningful insights from data.

2. Predictive Modeling and Forecasting :

- Build predictive models to forecast future trends, customer behavior, and business outcomes.

- Evaluate model performance, refine algorithms, and optimize parameters to improve accuracy and reliability of predictions.

- Implement time-series analysis techniques to forecast demand, sales, and other key performance indicators.

3. Data Visualization and Communication :

- Create compelling data visualizations and dashboards to communicate insights and findings to stakeholders.

- Present analysis results and recommendations to business leaders, providing actionable insights to support decision-making processes.

- Collaborate with cross-functional teams to translate business requirements into data-driven solutions and actionable strategies.

4. Feature Engineering and Data Preprocessing :

- Perform feature engineering to extract relevant features from raw data and enhance model performance.

- Cleanse, preprocess, and transform data to ensure quality, consistency, and integrity for analysis and modeling purposes.

- Collaborate with data engineers and IT teams to access, integrate, and prepare data for analysis and modeling.

5. Model Deployment and Monitoring :

- Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.

- Monitor model performance and evaluate model drift over time, implementing corrective actions as needed to maintain accuracy and effectiveness.

- Collaborate with DevOps teams to automate model deployment and monitoring processes, ensuring seamless integration into existing systems and and Skills :

- Bachelor's or Master's degree in Computer Science or related field.

- 5 to 8 years of experience in data science, machine learning, and statistical analysis.

- Proficiency in programming languages such as Python or R for data analysis and modeling.

- Strong understanding of machine learning algorithms, statistical techniques, and data mining methodologies.

- Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn.

- Knowledge of big data technologies such as Hadoop, Spark, or Kafka is a plus.

- Excellent problem-solving skills and analytical thinking, with the ability to work with large, complex datasets.

- Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.

- Experience working in Agile or iterative development environments is preferred.

(ref:hirist.tech)

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