Data Scientist

1 month ago

Bangalore, Karnataka, India Risemet Staffing LLP Full time

Position Overview :

We are seeking a talented and experienced Data Scientist with 3 to 6 years of experience to join our dynamic team.

The ideal candidate will have a strong background in statistical analysis, machine learning, and data visualization, with a passion for solving complex problems and extracting actionable insights from large datasets.

As a Data Scientist, you will play a key role in designing, implementing, and deploying advanced analytics solutions that drive business impact and create value for our clients.

Responsibilities :

Data Analysis and Modeling :

- Conduct exploratory data analysis (EDA) to understand data characteristics, identify patterns, and uncover insights that inform business decisions.

- Develop predictive models, classification algorithms, and machine learning pipelines to solve business problems and optimize decision-making processes.

Machine Learning and Artificial Intelligence :

- Apply machine learning techniques such as regression, classification, clustering, and neural networks to analyze and interpret complex datasets.

- Explore and implement cutting-edge algorithms and methodologies to enhance predictive accuracy and model performance.

Data Visualization and Communication :

- Create compelling data visualizations and interactive dashboards to communicate insights and findings to stakeholders using tools such as Tableau, Power BI, or matplotlib.

- Translate technical analyses into actionable insights and recommendations for business leaders and decision-makers.

Feature Engineering and Data Preprocessing :

- Perform feature engineering and data preprocessing tasks to prepare raw data for analysis and modeling, including data cleaning, transformation, and normalization.

Model Evaluation and Validation :

- Evaluate model performance using appropriate metrics and techniques such as cross-validation, A/B testing, and ROC curves.

- Validate models against real-world data to assess generalization and robustness across different scenarios and environments.

Qualifications :

Education and Experience :

- Master's degree or higher in Computer Science, Statistics, Mathematics, or a related field.

- 3 to 6 years of professional experience in data science, machine learning, or related roles.

Technical Skills :

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

- Strong understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, and time series forecasting.

- Experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch.

Preferred Qualifications :

- Experience working with big data technologies such as Hadoop, Spark, or Hive for distributed data processing and analysis.

- Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform for scalable data analytics and machine learning.

- Certification in data science, machine learning, or related disciplines.

(ref:hirist.tech)

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