Lead Data Scientist

Bachelors or Masterdegree in Computer Science, Statistics,Mathematics, Data Science, or a related field.

E xpert-level proficiency in Python,including libraries such as pandas, numpy, scikit-learn, and matplotlib.

Hands-onexperience with pyspark and Azure Databricks for large-scale data processingand model deployment.

Strongbackground in statistical modeling, hypothesis testing, and advanced analytics.

Deepunderstanding of machine learning concepts and algorithms.

Proficiencyin developing classification, clustering, and regression models.

Excellentanalytical and problem-solving skills with strong attention to detail.

Ability tocommunicate complex technical concepts to non-technical stakeholderseffectively.

Strongbusiness acumen and the ability to understand and address business needs.

Experiencewith data visualization tools and techniques.

Familiaritywith other data processing tools and languages is a plus (e.g., SQL, R).

Knowledge ofbest practices in data management and security.

Responsibilities

Develop,implement, and optimize statistical models and machine learning algorithms forclassification, clustering, and regression.

Performhypothesis testing and other statistical analyses to validate models.

Use pysparkfor distributed data processing and large-scale data analysis.

Design anddeploy machine learning models in Azure Databricks.

Conductexperiments to evaluate and improve model performance.

Stay updatedwith the latest advancements in machine learning and apply them to ourpractices.

Mentor andguide junior data scientists and analysts in best practices and advancedanalytical techniques.

Contribute tothe continuous improvement of our data science processes and methodologies.