Description :

Ideal candidates for this position should possess an unrelenting passion for data and a strong sense of creativity, as these attributes are essential for redefining industry standards and pushing the boundaries of what can be achieved through data-driven solutions.

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 :

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

- 3-5 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 :

- Programming Expertise : Python (NumPy, Pandas, Scikit-learn), MATLAB, C++.

- Strong understanding of data structures, algorithms, and optimization techniques.

- Experience with machine learning, statistical modeling, and signal processing.

- Familiarity with industrial protocols (Modbus, OPC-UA) and IIoT platforms.

- 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 Offer 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 companys values and our responsibility to leave the world in a better place.

- Learn more about our Culture & Values and about Diversity, Equity & Inclusion at Emerson .