Senior Data Scientist

Your Job:

• Work closely with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions.
• Collaborate closely with GFIT, Manufacturing Data Domain group to support Lead Data Scientist in building the required data pipelines for productionalized and scalable predictive and prescriptive analytics solutions.
• Support Lead Data Scientist to conduct exploratory data analysis and create compelling visualization using complex and high-dimensional datasets.
• Help Lead Data Scientist to identify suitable machine learning or statistical approaches on type of problem and train models for optimal performance, including hyperparameter tuning.
• Contribute to deploy models into production with assistance from Product Engineers.
• Help Lead Data Scientist to validate and monitor models to ensure consistent performance and avoid performance degradation.
• Support Lead Data Scientist during technical and analytics capability building within the analytics teams to stay current on best practices and new model techniques.
• Communicate value of analytics to Fab leadership and business partners and increase the awareness of analytics Fabs.
• Facilitate generating and maximizing value from analytics solutions.

Required Qualifications:

• Bachelor's degree in quantitative fields such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree.
• 4-6 years of experience in analytics space with proven track record of innovation as a forerunner.
• Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning
• Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)
• Experience in optimization and cloud environments to lead an inter-disciplinary team through scaling and productionisation of recommendation engines.
• Experience in implementing business-focused advanced analysis that can capture industry-specific nuances.
• Strong communication skills to interact with both technical and non-technical audience.
• Proven leadership skills to coach and guide team members to ensure on-time excellence.
• Product mindset with significant experience working in Agile teams.
• Ability to build a sense of trust and rapport within the team and senior leadership.
• Flexibility and ability to work with ambiguous problems and unstructured data.