Data Science Engineer

In This Role, Your Responsibilities Will Be :

• Develop and implement data science models for predictive maintenance, anomaly detection, and process optimization.

Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions.

Work on sensor data acquisition , preprocessing, and feature engineering for IIoT applications.

Document workflows and ensure compliance with data governance and security standards .

Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems.

Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources.

Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement.

Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs.

Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed.

Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage.

Develop and implement best practices in data management, data modeling, code, and data quality assurance.

Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations.

Miscellaneous Activities :

Active participation and contributions to innovation activities like ideathons, hackathons.

For This Role, You Will Need :

Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.

2-3 years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas.

Minimum 2 years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies.

Strong programming skills in Python is a must.

Exposure to control systems , PLCs, and embedded programming.

Familiarity with edge AI deployment .

Understanding of cybersecurity principles for industrial systems

Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques.

Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash.

Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights.

Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences.

Preferred Qualifications That Set You Apart :

Knowledge of cloud services (Azure, AWS) and containerization (Docker).

Certifications

Possession of relevant certification / s in data science from reputed universities specializing in AI.

Industry-Specific Experience

Prior experience in engineering would be nice to have.

Our Culture & Commitment to You :

By joining Emerson, you will be given the opportunity to make a difference through the work you do.

Emerson's compensation and benefits programs are designed to be  competitive within industry and local labor markets . We also offer comprehensive medical and insurance coverage  to meet the needs of our employees.

We are committed to creating a global workplace that  supports diversity, equity and embraces inclusion . We welcome foreign nationals to join us through our  Work Authorization Sponsorship .

We attract, develop, and retain exceptional people in an inclusive environment, where all  employees can reach their greatest potential . We are dedicated to the ongoing development of our employees because we know that it is critical to our success as a global company.

We have established our Remote Work Policy for eligible roles to promote  Work-Life Balance  through a hybrid work set up where our team members can take advantage of working both from home and at the office.

Safety is paramount to us, and we are relentless in our pursuit to provide a  Safe Working Environment  across our global network and facilities.

Through our benefits, development opportunities, and an inclusive and safe work environment, we aim to create an organization our people are proud to represent.

Our Commitment to Diversity, Equity & Inclusion

At Emerson, we are committed to fostering a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment contributes to the rich exchange of ideas and diversity of thoughts, that inspires innovation and brings the best solutions to our customers.

This philosophy is fundamental to living our company’s values and our responsibility to leave the world in a better place. Learn more about our and about .

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