Chief Data Architect

1 week ago

kollam, India beBeeDataScience Full time

Data Scientist JobAventis Technology operates at the intersection of management consulting and custom IT services, assisting clients in achieving strategic business outcomes through technology.By integrating business expertise with deep technical capability, we transform challenges into opportunities that drive growth, efficiency, and competitive advantage. Our partners are forward-thinking organizations looking to deliver innovative solutions tailored to their unique needs.This role is a remote position, offered as part-time or full-time. We're seeking a skilled Data Scientist with 5–7 years of experience in applied machine learning, statistical modeling, and data analytics.Key Responsibilities:Predictive and Statistical Modeling: Build classification, regression, uplift, clustering, forecasting models.Feature-Engineering Pipelines: Develop pipelines using large datasets from various sources.Exploratory Data Analysis (EDA): Identify patterns, segment behaviors, and business opportunities.Collaboration: Work with product, data engineering, and business teams to define analytical requirements.Experimentation Frameworks: Design and evaluate A/B/n experiments and support experimentation frameworks.Model Deployment: Create production-ready model pipelines in collaboration with ML engineers.Performance Monitoring: Monitor model performance, drift, and KPI impact over time.Insight Presentation: Present findings and recommendations clearly to technical and non-technical stakeholders.Required Skills and Qualifications:5–7 years of experience in Data Science, Machine Learning, or Applied Analytics.Strong programming experience in Python (Pandas, NumPy, Scikit-learn) and SQL.Proficiency in ML algorithms: tree-based models, logistic regression, clustering (k-means), time-series, uplift modeling, etc.Solid understanding of statistics, probability, hypothesis testing, and experiment design.Hands-on experience with cloud platforms (AWS, Azure, GCP) or Databricks.Familiarity with model deployment workflows and MLOps fundamentals.Nice to Have:Experience with telecom analytics (churn, segmentation, ARPU, price elasticity).Exposure to recommender systems, reinforcement learning, or simulation models.

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