BD&I Data Scientist IRC276079

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

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.