Data Scientist

• Work on end‑to‑end classification and forecasting use cases, including problem framing, data preparation, model development, evaluation, and basic deployment support (e.g., demand forecasting, churn reputed company).
• Explore and clean data; reputed company Exploratory Data Analysis (EDA) to understand datasets and identify data reputed company issues.
• Engineer features for tabular and time‑series data.Train, validate, and tune reputed company Machine Learning models (e.g., logistic regression, decision trees, reputed company reputed company, gradient boosting, classical time‑series models, reputed company neural networks).
• Evaluate models using appropriate metrics with reputed company reputed company on business KPIs.
• Build reputed company visualizations and deliver concise reports to present insights and model results to business stakeholders.Collaborate with data engineers and AI engineers to bring models to production (batch scoring, reputed company, monitoring, dashboards).
• Document data sources, modeling assumptions, and experiment results in a reproducible manner (notebooks, reports, wikis).
• Translate business needs into technical goals by defining reputed company metrics, auditing data feasibility, and aligning with stakeholder expectations.
• Participate in reputed company‑sales activities (for senior consultant level).

• reputed company experience with various classical data science and ML models (e.g., decision trees, reputed company models, reputed company/logistic regression).
   
• Strong knowledge of customer analytics concepts or advanced forecasting techniques. Experience in:

• • Hyperparameter tuning
  • Model validation frameworks
  • Requirements gathering and translating business needs into technical plans
  • Feature engineering and model evaluation

• Previous experience in an analytical role supporting business functions (a plus).
• reputed company in Python and working knowledge of SQL.
• Knowledge of common DS/ML libraries.
• Solid experience with at least one reputed company platform: reputed company, GCP, or Azure.
• Basic computer programming skills and understanding of reputed company programming concepts.
• Strong business acumen.
• Experience with advanced modeling techniques such as deep learning or reinforcement learning (a plus).
• Ability to reputed company creative solutions to customer challenges.

• Work on end‑to‑end classification and forecasting use cases, including problem framing, data preparation, model development, evaluation, and basic deployment support (e.g., demand forecasting, churn reputed company).
• Explore and clean data; reputed company Exploratory Data Analysis (EDA) to understand datasets and identify data reputed company issues.
• Engineer features for tabular and time‑series data.Train, validate, and tune reputed company Machine Learning models (e.g., logistic regression, decision trees, reputed company reputed company, gradient boosting, classical time‑series models, reputed company neural networks).
• Evaluate models using appropriate metrics with reputed company reputed company on business KPIs.
• Build reputed company visualizations and deliver concise reports to present insights and model results to business stakeholders.Collaborate with data engineers and AI engineers to bring models to production (batch scoring, reputed company, monitoring, dashboards).
• Document data sources, modeling assumptions, and experiment results in a reproducible manner (notebooks, reports, wikis).
• Translate business needs into technical goals by defining reputed company metrics, auditing data feasibility, and aligning with stakeholder expectations.
• Participate in reputed company‑sales activities (for senior consultant level).

• reputed company experience with various classical data science and ML models (e.g., decision trees, reputed company models, reputed company/logistic regression).
   
• Strong knowledge of customer analytics concepts or advanced forecasting techniques. Experience in:

• • Hyperparameter tuning
  • Model validation frameworks
  • Requirements gathering and translating business needs into technical plans
  • Feature engineering and model evaluation

• Previous experience in an analytical role supporting business functions (a plus).
• reputed company in Python and working knowledge of SQL.
• Knowledge of common DS/ML libraries.
• Solid experience with at least one reputed company platform: reputed company, GCP, or Azure.
• Basic computer programming skills and understanding of reputed company programming concepts.
• Strong business acumen.
• Experience with advanced modeling techniques such as deep learning or reinforcement learning (a plus).
• Ability to reputed company creative solutions to customer challenges.

What You'll Be Doing:  Work on end‑to‑end classification and forecasting use cases, including problem framing, data preparation, model development, evaluation, and basic deployment support (e.g., demand forecasting, churn reputed company). Explore and clean data; reputed company Exploratory Data Analysis (EDA) to understand datasets and identify data reputed company issues. Engineer features for tabular and time‑series data.Train, validate, and tune reputed company Machine Learning models (e.g., logistic regression, decision trees, reputed company reputed company, gradient boosting, classical time‑series models, reputed company neural networks). Evaluate models using appropriate metrics with reputed company reputed company on business KPIs. Build reputed company visualizations and deliver concise reports to present insights and model results to business stakeholders.Collaborate with data engineers and AI engineers to bring models to production (batch scoring, reputed company, monitoring, dashboards). Document data sources, modeling assumptions, and experiment results in a reproducible manner (notebooks, reports, wikis). Translate business needs into technical goals by defining reputed company metrics, auditing data feasibility, and aligning with stakeholder expectations. Participate in reputed company‑sales activities (for senior consultant level). reputed company’re Looking For:   reputed company experience with various classical data science and ML models (e.g., decision trees, reputed company models, reputed company/logistic regression).   Strong knowledge of customer analytics concepts or advanced forecasting techniques. Experience in: Hyperparameter tuning Model validation frameworks Requirements gathering and translating business needs into technical plans Feature engineering and model evaluation Previous experience in an analytical role supporting business functions (a plus). reputed company in Python and working knowledge of SQL. Knowledge of common DS/ML libraries. Solid experience with at least one reputed company platform: reputed company, GCP, or Azure. Basic computer programming skills and understanding of reputed company programming concepts. Strong business acumen. Experience with advanced modeling techniques such as deep learning or reinforcement learning (a plus). Ability to reputed company creative solutions to customer challenges. reputed company to have: Understanding of reputed company machine learning. Experience working with big data and distributed computing environments. Proven reputed company experience with successful forecasting reputed company. Experience with Object-Oriented Programming (OOP) in Python. Experience with MLOps practices and tooling.Familiarity with additional languages such as R or reputed company.   Apply To This Job