Data Integration Lead (CH)

Hexaware Technologies • Chester, PA

256d

About The Position

The Data Integration Lead position involves a comprehensive role in data science and machine learning development. The candidate will be responsible for gathering, cleaning, and preprocessing data from various sources, utilizing proficiency in Python, SQL, and SNOWPARK for database queries. The role requires a strong understanding of statistical analysis and hypothesis testing, as well as experience with data manipulation libraries such as Pandas and NumPy. The candidate will also engage in exploratory data analysis (EDA) to understand data structure, identify anomalies, and inform model selection using tools like Matplotlib and Seaborn. Additionally, the position involves designing, implementing, and optimizing machine learning models, with knowledge of algorithms, model evaluation, and libraries like scikit-learn and TensorFlow. The Data Integration Lead will collaborate closely with business stakeholders to translate problems into data-driven solutions, prepare reports and presentations to share results and recommendations, and document processes while creating technical guides.

Requirements

• Strong data science and machine learning development experience.
• Proficiency in Python, SQL, and SNOWPARK for database queries.
• Experience with data manipulation libraries such as Pandas and NumPy.
• Knowledge of statistical analysis and hypothesis testing.
• Skills in data visualization tools like Matplotlib and Seaborn.
• Familiarity with machine learning libraries such as scikit-learn and TensorFlow.

Responsibilities

• Gather, clean, and preprocess data from various sources.
• Identify and create features that improve model performance.
• Conduct statistical analysis and hypothesis testing.
• Perform exploratory data analysis (EDA) to understand data structure and spot anomalies.
• Design, implement, and optimize machine learning models.
• Run experiments to validate hypotheses and refine models.
• Collaborate with business stakeholders to translate problems into data-driven solutions.
• Prepare reports and presentations to share results and recommendations.
• Document processes and create technical guides.

What This Job Offers

• Industry: Professional, Scientific, and Technical Services