Mackinlay - Data Scientist - Machine Learning/Predictive Modeling

1 month ago


Bangalore, Karnataka, India Mackinlay Full time

Key Responsibilities :

- Conduct in-depth analysis of large and complex datasets to identify patterns, trends, and insights.

- Develop and deploy machine learning models to solve various business problems, including predictive modeling, classification, clustering, and anomaly detection.

- Apply NLP techniques to extract information from text data, such as sentiment analysis, text classification, and information extraction.

- Identify and automate repetitive tasks using RPA to improve efficiency and accuracy.

- Work with data engineers to design and implement data pipelines and data infrastructure.

- Collaborate with business stakeholders and technical teams to understand requirements and deliver data-driven solutions.

Required Skills and Experience :

- 5+ years of experience in applying machine learning techniques, including artificial neural networks and deep learning.

- Strong knowledge of statistics and statistical analysis methods.

- Experience with various data storage technologies, including data warehouses, data lakes, graph databases, NoSQL, and clustering.

- Proficiency in data cleaning, preprocessing, and transformation.

- Solid software engineering skills, including coding, optimization, and deployment.

- Familiarity with cloud platforms like AWS and Azure, including serverless computing and machine learning tools.

Desired Skills and Experience :

- ML Engineering: Experience in deploying machine learning models into production environments.

- ML Operations: Knowledge of ML operations practices, including model monitoring, retraining, and governance.

- Domain Expertise: Experience in a specific domain (e.g., finance, healthcare, marketing) is a plus.

- Data Visualization: Proficiency in data visualization tools to communicate insights effectively

(ref:hirist.tech)
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