Data Science Engineer 1

We are seeking a dynamic very hardworking Data Science Engineer to join our dynamic, multi-functional team of skilled engineers to working with powerful safe AI following best in class data science methodologies. You should have a passion for data and a strong sense of creativity, as these attributes are important for redefining industry standards and pushing the boundaries of what can be achieved through data-driven solutions.

Job Summary

We are seeking a dynamic very hardworking to join our dynamic, multi-functional team of skilled engineers to working with powerful safe AI following best in class data science methodologies. You should have a passion for data and a strong sense of creativity, as these attributes are important for redefining industry standards and pushing the boundaries of what can be achieved through data-driven solutions.

In This Role, Your Responsibilities Will Be:

1. Collaborate with multi-functional teams to find opportunities to apply data-driven insights and develop innovative solutions to complex business problems.
2. Develop, implement, and maintain data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources.
3. Design, build, and deploy predictive and prescriptive machine learning/deep learning/large language models to help the organization make better data-driven AI assisted decisions.
4. Perform exploratory data analysis, data sanitizing, feature engineering, and data visualization to gain insights and identify potential areas for improvement.
5. Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs.
6. Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed.
7. Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage.
8. Develop and implement standard methodologies in data management, data modeling, code, and data quality assurance.
9. Communicate effectively with team members, collaborators, and senior management to translate data insights into actionable strategies and recommendations.
10. Active participation and contributions to innovation activities like ideathons, hackathon

Who You are:

You establish clear responsibilities and processes for monitoring work and measuring results You analyze multiple and diverse sources of information to define problems accurately before moving to solutions even in the absence of complete information You relate comfortably with people across levels, functions, cultures, and geography

For This Role, You Will Need:

• Bachelor s degree in computer science, Data Science, Statistics, or a related field or a masters degree or higher is preferred.
• 1-3 years of experience with popular data science libraries and frameworks such as scikit-learn, SciPy, TensorFlow, PyTorch, NumPy and Pandas.
• 1-3 years of experience in data science industry projects leveraging machine learning, deep learning, transformer based large language models or any of other innovative AI technologies.
• Strong programming skills in Python is must.
• Knowledge of MATLAB Simulink Regression learner apps, app design will be preferred.
• 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:

• Qualification: B.E/Post graduate in - Mathematics, Computer Science, Electronics & Instrumentation.
• Basic understanding of machine learning and statistical algorithms and techniques.
• Exp 2to 5 Yrs. with minimum 6months in LLM
• Possession of relevant certification/s in data science from reputed universities specializing in AI.
• Prior experience in engineering domain 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.

Emersons compensation and benefits programs are designed to be competitive within the industry and local labor markets. We also offer a 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 Culture & Values and about Diversity, Equity & Inclusion at Emerson .

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