BD&I Data Scientist

Description:

Must have skills:

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

Requirements:

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 skills

Ability to break down complex technical topics for business stakeholders

Comfortable 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.

Job Responsibilities:

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 skills

Ability to break down complex technical topics for business stakeholders

Comfortable 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.

What We Offer:

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants