Senior Data Scientist IRC273505

Description

Keyskills – Must Have
Python Microsoft Azure ML Services jupyter Tableau Advance Analytics SQL Snowflake NoSQL Java Spring Boot Git

Requirements

Job Overview:
We are seeking an experienced and results-driven Data Scientist to join our growing analytics team. As a Data Scientist, you will work at the intersection of data, business, and technology. Your role is to extract actionable insights from large volumes of structured and unstructured data, develop predictive and different types of models, and contribute to strategic decision-making through advanced analytics and machine learning.

You will partner with cross-functional teams including engineering, product management, and business operations to create scalable, production-grade models that support the company’s Digital First Approach, enabling innovation and enhancing customer experiences.

Key Responsibilities:
Conduct end-to-end data science projects: from understanding business needs to delivering ML solutions that solve real-world problems.

Perform exploratory data analysis (EDA) to identify trends, patterns, and outliers in large datasets.

Engineer meaningful features from raw data to improve model performance.

Develop and validate predictive models using supervised and unsupervised learning algorithms.

Apply advanced statistical techniques and machine learning methods to solve classification, regression, and clustering problems.

Utilize and compare various algorithms including Isolation Forest, Autoencoders, One-Class SVM, ARIMA, and LSTM-based models.

Collaborate with data engineers and software developers to deploy models in production using tools like Spring Boot, GitLab, and APIs.

Evaluate and monitor model performance over time and recommend improvements.

Use visualization platforms like Tableau, Power BI, and Google Analytics to communicate insights and findings to business stakeholders and leadership.

Maintain proper documentation for all models and methodologies used.

Stay current with advancements in ML/AI tools, libraries, and techniques.

Participate in Agile ceremonies and manage tasks using Jira.

Technical Skills & Tools:
Languages: Python (NumPy, Pandas, Scikit-learn, TensorFlow, etc.), R (ggplot2, caret, etc.)

ML Platforms & IDEs: Azure ML Studio, Jupyter Notebook, RStudio, Anaconda

Modeling: Supervised and unsupervised methods

Visualization: Tableau, Power BI, Google Analytics

Database Knowledge: SQL (Snowflake, MySQL), NoSQL (MongoDB)

Deployment & Integration: Understanding of Java APIs, Spring Boot, and GitLab for model integration

Statistical Analysis: Hypothesis testing, A/B testing, regression, classification, clustering

Qualifications:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
Proven experience as a Data Scientist or similar role.
Proficiency in Python, R, SQL, and data manipulation libraries (e.g., pandas, numpy).
Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
Strong understanding of statistics, probability, and mathematical modeling.
Experience working with structured and unstructured data
Ability to convey complex technical results in a clear and concise manner
Nice to Have:
Experience in telecom domain

Exposure to big data tools such as Apache Spark or Hadoop

Knowledge of CI/CD practices in data science

Job responsibilities

Job Overview:
We are seeking an experienced and results-driven Data Scientist to join our growing analytics team. As a Data Scientist, you will work at the intersection of data, business, and technology. Your role is to extract actionable insights from large volumes of structured and unstructured data, develop predictive and different types of models, and contribute to strategic decision-making through advanced analytics and machine learning.

You will partner with cross-functional teams including engineering, product management, and business operations to create scalable, production-grade models that support the company’s Digital First Approach, enabling innovation and enhancing customer experiences.

Key Responsibilities:
Conduct end-to-end data science projects: from understanding business needs to delivering ML solutions that solve real-world problems.

Perform exploratory data analysis (EDA) to identify trends, patterns, and outliers in large datasets.

Engineer meaningful features from raw data to improve model performance.

Develop and validate predictive models using supervised and unsupervised learning algorithms.

Apply advanced statistical techniques and machine learning methods to solve classification, regression, and clustering problems.

Utilize and compare various algorithms including Isolation Forest, Autoencoders, One-Class SVM, ARIMA, and LSTM-based models.

Collaborate with data engineers and software developers to deploy models in production using tools like Spring Boot, GitLab, and APIs.

Evaluate and monitor model performance over time and recommend improvements.

Use visualization platforms like Tableau, Power BI, and Google Analytics to communicate insights and findings to business stakeholders and leadership.

Maintain proper documentation for all models and methodologies used.

Stay current with advancements in ML/AI tools, libraries, and techniques.

Participate in Agile ceremonies and manage tasks using Jira.

Technical Skills & Tools:
Languages: Python (NumPy, Pandas, Scikit-learn, TensorFlow, etc.), R (ggplot2, caret, etc.)

ML Platforms & IDEs: Azure ML Studio, Jupyter Notebook, RStudio, Anaconda

Modeling: Supervised and unsupervised methods

Visualization: Tableau, Power BI, Google Analytics

Database Knowledge: SQL (Snowflake, MySQL), NoSQL (MongoDB)

Deployment & Integration: Understanding of Java APIs, Spring Boot, and GitLab for model integration

Statistical Analysis: Hypothesis testing, A/B testing, regression, classification, clustering

Qualifications:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
Proven experience as a Data Scientist or similar role.
Proficiency in Python, R, SQL, and data manipulation libraries (e.g., pandas, numpy).
Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
Strong understanding of statistics, probability, and mathematical modeling.
Experience working with structured and unstructured data
Ability to convey complex technical results in a clear and concise manner
Nice to Have:
Experience in telecom domain

Exposure to big data tools such as Apache Spark or Hadoop

Knowledge of CI/CD practices in data science

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.