R&D Engineer, Sr II (Analytics and ML Focus)

Key Skills

Java Programming, Design of Experiment, Python Programming, C++, SQL, Machine learning techniques, R Programming, SPARK Programming

Job Description

As a part of Big Data Analytics/AI-ML team you will collaborate with a global team in defining and developing a high performance, productivity enhancing product. You will work with domain experts to identify the most efficient way to collect and process data to derive data insights and prescribe recommendations. You will work with Machine Learning/Deep Learning engineers to develop models for Predictive and Prescriptive data analytics. You will also play critical role in establishing a process of digital design causal inference which helps chip engineers in making data inspired conclusions.

What You'll Need

• Understanding of the mathematical foundations of statistics, machine learning, and analytics.
• Experience with exploratory data scrutiny, statistical analysis, hypotheses testing, and model development.
• Experience in building and evaluating machine learning models.
• Fluency in SQL and Spark to write efficient codes at scale with large data.
• Fluency in C++ and Python Programming, writing applications that scale with large data.
• Proven experience of 2+ years in the relevant field. MS or Bachelors degree in Statistics, Machine Learning, Operations Research, Computer Science or other quantitative fields.

What You'll Do

• Drive clarity and solve ambiguous, challenging problems using data-informed approaches. Propose and own data insights (including modelling, coding, analytics, and experimentation) to derive data insight and facilitate outcomes.
• Develop creative solutions and build prototypes to problems using algorithms based on machine learning, statistics, and optimization
• Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends
• Basic Qualifications
• MS or Bachelors degree in, Statistics, Machine Learning, Operations Research, Computer Science or other quantitative fields. (If M.S./M.Tech. degree, a minimum of 2+ years of industry experience required and if Bachelors degree, a minimum of 4+ years of industry experience required)
• Understanding of underlying mathematical foundations of statistics, machine learning, optimization, and analytics
• Understanding of experimental design and investigation
• Experience with exploratory data scrutiny, statistical analysis, and testing, and model development
• Ability to use a language like Python or R to work efficiently at scale with large data sets
• Proficiency in languages and tools like SQL, Python, and Spark

Preferred Qualifications

• 4+ years of industry experience working as a data scientist/Engineer or similar
• Experience with causal inference techniques to evaluate the causal relationships with variables
• Experience building machine learning models