Data Scientist

Hiring type: Permanent(full-time) / 1 year Contract both available

Job Description

Skills required: N pricing Model or predictive model, Python , R language

1. 5+ years of relevant experience in data science with a focus on predictive modelling for price optimization and portfolio management.
2. Proficiency in data analysis and modelling using Python orR.
3. Experience with data visualization tools, specifically Tableau.
4. Familiarity with ML Ops concepts and practices.
5. Strong analytical and problem-solving skills with the ability to interpret complex data.
6. Excellent communication skills, with the ability to present findings to non-technical stakeholders.
7. Experience in working with large datasets and understanding of data warehousing concepts is a plus.

Responsibility

1. Experiment, develop and implement predictive models to optimize pricing strategies and enhance portfolio management.
2. Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
3. Collaborate with cross-functional teams including marketing, finance, and operations to understand business requirements and deliver actionable insights
4. Utilize tools such as Tableau for data visualization and reporting to communicate findings to stakeholders.
5. Experience with Python or R for data analysis, model development, and implementation of machine learning algorithms.
6. H20, and ML Ops workflows for building, training, and deploying machine learning models at scale.
7. Conduct A/B testing and other experimental designs to validate model effectiveness and optimize strategies
8. Familiarity with SQL for data extraction and manipulation
9. Stay current with industry trends and advancements in data science and machine learning.