Data Analyst IRC272934

Description

Data Engineer

Requirements

Extensive hands-on experience in developing and deploying machine learning and statistical models in production environments
Strong experience in end-to-end ML pipeline implementation including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring
Proficient in working with large-scale structured and unstructured data across multiple sources for exploratory and predictive analytics
Experience with big data tools and platforms (On-Prem or Cloud) for scalable model training and data processing (e.g., Spark, Databricks, Hadoop)
Deep understanding of supervised, unsupervised, and reinforcement learning algorithms with practical application in real-world use cases
Strong expertise in programming languages such as Python and R for data analysis, visualization, and model development
Good understanding of MLOps concepts including model versioning, model governance, and continuous integration/deployment of ML models
Experience using cloud platforms (AWS, Azure, GCP) and associated ML tools and services such as SageMaker, Azure ML, Vertex AI
Solid knowledge of statistical testing, A/B testing, hypothesis testing, and experimental design
Familiar with data governance, data privacy, and compliance aspects of handling personal or sensitive data
Experience with tools like Jupyter, MLFlow, TensorBoard, or equivalent for model tracking and experimentation
Hands-on experience with data visualization tools such as Power BI, Tableau, or libraries like Matplotlib, Seaborn, Plotly
Strong experience with SQL and NoSQL databases for data extraction, manipulation, and analysis
Proven ability to translate complex business problems into data science solutions and present insights to non-technical stakeholders
Experience in collaborating with cross-functional teams including Data Engineers, Product Owners, and Business Analysts
Familiar with version control and source code management tools like Git or TFS
Good exposure to Agile/Scrum methodologies and sprint-based delivery models
Demonstrated mentorship and technical leadership in guiding junior data scientists or analysts
Strong analytical, logical thinking, and quantitative skills
Takes ownership of outcomes and delivers with accountability
Effective communication skills with a keen ability to explain technical concepts to business users
Quick learner, self-driven, and passionate about data and innovation

Job responsibilities

ML model development, data preprocessing, feature engineering, ML pipelines, big data tools (Spark, Databricks), supervised/unsupervised learning, Python/R, MLOps, cloud platforms (AWS SageMaker, Azure ML), statistical testing, A/B testing, data governance, data privacy, Jupyter, MLFlow, data visualization (Power BI, Tableau), SQL/NoSQL, problem-solving, cross-functional collaboration, Git/TFS, Agile/Scrum, mentorship, communication, ownership, quick learner, data-driven innovation

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.