Posted on: 12/12/2025
Description :
In This Role, Your Responsibilities Will Be :
- Analyze large, complex data sets using statistical methods and machine learning techniques to extract meaningful insights.
- Develop and implement predictive models and algorithms to solve business problems and improve processes.
- Create visualizations and dashboards to effectively communicate findings and insights to stakeholders.
- Work with data engineers, product managers, and other team members to understand business requirements and deliver solutions.
- Clean and preprocess data to ensure accuracy and completeness for analysis.
- Prepare and present reports on data analysis, model performance, and key metrics to stakeholders and management.
- Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective.
- Stay updated with the latest industry trends and advancements in data science and machine learning techniques.
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.
- Total 5 - 7 years of industry experience.
- More than 3 years of experience in a data science or analytics role, with a strong track record of building and deploying models.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy).
- Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience with NLP, NLG, and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.
- Experience with machine learning frameworks and libraries such as Go, TensorFlow, PyTorch.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Experience with SQL and NoSQL databases such as MongoDB, Cassandra, Vector databases.
- Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights.
- Excellent verbal and written communication skills, with the ability to present complex technical information to non-technical stakeholders.
Preferred Qualifications that Set You Apart :
- Prior experience in engineering domain would be nice to have.
- Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have.
- Possession of relevant certification/s in data science from reputed universities specializing in AI.
- Familiarity with cloud platforms, Microsoft Azure is preferred.
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.
- Strong analytical and troubleshooting skills, with the ability to resolve issues related to model performance and infrastructure.
Our Culture & Commitment to You :
- At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow.
- We foster an environment that encourages innovation, collaboration, and diverse perspectivesbecause we know that great ideas come from great teams.
- Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive.
- Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact.
- We believe diverse teams, working together are key to driving growth and delivering business results.
- We recognize the importance of employee wellbeing.
- We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more.
- Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
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