BD&I Data Scientist

Must have skills:

Python Microsoft Azure ML Services jupyter Tableau Advance Analytics SQL Snowflake NoSQL Java Spring Boot Git Machine Learning AI Airflow

About the Role
We are looking for a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics to join our growing data science team. The ideal candidate will have experience building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. In addition to technical proficiency, strong communication skills and the ability to translate complex data into clear business insights are essential for success in this role.

Key Responsibilities
Analyze large, complex datasets to uncover actionable insights that drive business impact.Design and implement predictive models, especially in areas such as customer penetration optimization and regional performance forecasting.Apply machine learning techniques—including supervised and unsupervised learning—to solve critical business problems (e.g., classification, regression, clustering).Engineer meaningful features from raw data to optimize model performance.Conduct exploratory data analysis (EDA) to identify trends, anomalies, and business opportunities.Conduct feature selection and hyperparameter tuning to improve model performance.Validate model results using appropriate statistical and ML evaluation metrics.Work closely with data engineers to build and refine robust data pipelines.Collaborate across product, engineering, and business teams to translate insights into clear, actionable strategies. Use visualization tools like Tableau, Power BI, and Google Analytics to communicate insights and model outcomes. Build models for production deployment using tools such as Spring Boot and GitLab. Consider partner-specific (JV & Wholesale) and regional variations to fine-tune analytics approaches.Stay current with ML/AI innovations and recommend tool or process improvements. Participate in Agile ceremonies and manage tasks in tools such as Jira. Document methodologies and maintain version control for all modeling projects.

What You Bring Experience:5+ years of experience as a Data Scientist or in a similar role. Telecom industry experience (2–4 years) is highly preferred.

Technical Skills:
Expertise in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and natural language processing.Proficiency in programming languages such as Python or R, with experience using data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).Strong understanding of statistical concepts and data analysis methodologies.Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP).Excellent communication, presentation, and interpersonal skills.Ability to work independently and as part of a team in a fast-paced environment. Soft Skills:Strong problem-solving and critical thinking skillsAbility to break down complex technical topics for business stakeholdersComfortable working in a fast-paced, agile environment with shifting priorities

Qualifications:
Bachelor's degree in Computer Science or related field.Master’s degree or equivalent advanced degree preferred.Proven track record of delivering data science projects from ideation to production.Strong communication skills and the ability to tell compelling stories with data.Comfortable with both structured and unstructured data sets.

About the Role
We are looking for a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics to join our growing data science team. The ideal candidate will have experience building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. In addition to technical proficiency, strong communication skills and the ability to translate complex data into clear business insights are essential for success in this role.

Key Responsibilities
Analyze large, complex datasets to uncover actionable insights that drive business impact.Design and implement predictive models, especially in areas such as customer penetration optimization and regional performance forecasting.Apply machine learning techniques—including supervised and unsupervised learning—to solve critical business problems (e.g., classification, regression, clustering).Engineer meaningful features from raw data to optimize model performance.Conduct exploratory data analysis (EDA) to identify trends, anomalies, and business opportunities.Conduct feature selection and hyperparameter tuning to improve model performance.Validate model results using appropriate statistical and ML evaluation metrics.Work closely with data engineers to build and refine robust data pipelines.Collaborate across product, engineering, and business teams to translate insights into clear, actionable strategies. Use visualization tools like Tableau, Power BI, and Google Analytics to communicate insights and model outcomes. Build models for production deployment using tools such as Spring Boot and GitLab. Consider partner-specific (JV & Wholesale) and regional variations to fine-tune analytics approaches.Stay current with ML/AI innovations and recommend tool or process improvements. Participate in Agile ceremonies and manage tasks in tools such as Jira. Document methodologies and maintain version control for all modeling projects.

What You Bring Experience:5+ years of experience as a Data Scientist or in a similar role. Telecom industry experience (2–4 years) is highly preferred.

Technical Skills:
Expertise in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and natural language processing.Proficiency in programming languages such as Python or R, with experience using data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).Strong understanding of statistical concepts and data analysis methodologies.Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP).Excellent communication, presentation, and interpersonal skills.Ability to work independently and as part of a team in a fast-paced environment. Soft Skills:Strong problem-solving and critical thinking skillsAbility to break down complex technical topics for business stakeholdersComfortable working in a fast-paced, agile environment with shifting priorities

Qualifications:
Bachelor's degree in Computer Science or related field.Master’s degree or equivalent advanced degree preferred.Proven track record of delivering data science projects from ideation to production.Strong communication skills and the ability to tell compelling stories with data.Comfortable with both structured and unstructured data sets.

Exciting Projects:

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Excellent Benefits:

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