Specialist - Data Sciences

Job Summary

Lead and innovate advanced data science projects by leveraging strong research skills and deep expertise in machine learning and optimization models

Job Description

Understand and analyze project requirements with a researchoriented mindset

Review existing machine learning and optimization models to identify improvement opportunities

Lead analytics projects providing strategic guidance and mentorship to the team Conduct handson development of analytics and data science models

Perform exploratory data analysis EDA to uncover insights and patterns

Engineer features to enhance model performance

Build robust statistical and machine learning models including deep neural networks DNN

Validate and pilot machine learning models with rigorous testing

Continuously tune and improve models based on performance metrics

Apply strong theoretical knowledge of ML algorithms and statistics in practical scenarios

Utilize expertise in Python and Spark Scala or PySpark for scalable data processing

Demonstrate strong stakeholder management and communication skills

Exhibit a proactive research attitude to stay updated with the latest advancements in data science

Preferably hold a PhD or equivalent research experience in a relevant field

Experience in cloud environments such as GCP or Azure is a plus

Domain experience in Consumer Packaged Goods CPG is advantageous

Roles and Responsibilities

Lead and manage multiple data science projects from conception to deployment

Drive innovation by applying research methodologies to solve complex business problems

Mentor and guide team members to foster a culture of continuous learning and improvement

Collaborate with crossfunctional teams and stakeholders to align data science solutions with business goals

Design and implement scalable machine learning pipelines

Conduct thorough model validation and ensure robustness and reliability

Stay abreast of emerging trends and technologies in data science and machine learning

Contribute to knowledge sharing through documentation presentations and publications when applicable