Senior Data Scientist

• Analyze large, sophisticated data sets using statistical methods and machine learning techniques to extract significant 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 team members.
• 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 performance indicators to customers 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 

You quickly and conclusively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.

• Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or equivalent experience or higher is preferred.
• Total 10-12 years of proven experience in industry.
• More than demonstrated ability in a data science or analytics role, with a consistent track record of building and deploying models.
• Proven 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.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy).
• 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 sophisticated data sets and extract actionable insights.
• Excellent verbal and written communication skills, with the ability to communicate sophisticated technical information to non-technical customers. 

• 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 lead 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 perspectives—because 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.