Data Scientist

Company Overview:

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers’ objectives to create a lasting positive impact.

We serve the Infrastructure; Nuclear, Security & Environmental; Energy, and Mining & Metals markets. Our services span from initial planning and investment, through start-up and operations. Core to Bechtel are our values – ethics, safety, quality, people, culture, relationships, innovation and sustainability, and our covenants – integrity, respect, collaboration, trust, and delivery. They are what we believe, what customers can expect, and how we deliver.

Bechtel India is a global operation that supports execution of projects and services around the world. Working seamlessly with business line home offices, project sites, customer organizations and suppliers, our teams have delivered more than 125 projects since our inception in 1994.

Our offices in Gurgaon, Vadodara and Chennai will grow significantly and sustainably with exciting career opportunities for both professionals and young graduates who are passionate about creating a cleaner, greener, and safer world; building transformational infrastructure; making decarbonization a reality; and protecting people and the environment.

Bechtel Corporation is seeking talented and ambitious data scientist to join our Big Data and A.I. Center of Excellence (BDAC) team. BDAC designs, develops, and deploys industry-leading data science and big data engineering solutions, using Artificial Intelligence (AI), Machine Learning (ML), and big data platforms and technologies, to increase efficiency in the complex work processes, enable and empower data-driven decision making, planning, and execution throughout the lifecycle of projects, and improve outcomes to Bechtel organization and its customers.

Who you are:

• You yearn to be part of groundbreaking projects that work to deliver world-class solutions on schedule.
• Someone who is motivated to find opportunity in and develop solutions for evolving challenges, is passionate about their craft, and driven to deliver exceptional results.
• You love to learn modern technologies and guide other team members to raise the bar on your team.
• You are imaginative and engaged about intuitive user interfaces, as well as new/emerging concepts and techniques.

Job Responsibilities:

Collaborate with a team of other data scientists, data engineers, and business subject matter experts to solve complex business problems using machine learning, NLP, and statistics.

Recommend which approaches will be effective in various situations and implement them independently without much guidance.

Basic Qualifications:

Bachelor's degree in computer science, or equivalent STEM fields with 3-5 years related working experience or a master's degree d in data science related fields

Experience with Python, PySpark, Natural Language Processing (NLP), AI/ML Ops.

Experience leveraging model management capabilities to track version control and maintain information about best-performing models, such as MLFLOW or similar.

Experience with modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics.

Experience with deep learning techniques and neural networks.

Experience working with data manipulation, analytic/business insight tools, and data visualization.

Excellent problem-solving skills and the ability to work in a collaborative team environment.

Preferred Qualifications:

• Professional experience with Databricks and coding with notebooks.
• Professional experience with working on cloud platforms, preferably Azure
• Professional experience with chatbot frameworks/tools and knowledge of LLMs.
• Effective communication skills and the ability to present technical concepts to non-technical stakeholders.

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