Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

AS A DATA SCIENTIST, YOU WILL:

• Implement solutions to complex problems using Machine Learning and Optimization Algorithms
• Help to create customer-focused analytics with data scientist peers
• Discover opportunities to improve systems, processes, and enterprises through data analytics and automation.
• Generate reports for decision-making using data visualization tools.
• Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for the application of production and proprietary algorithms
• Develops key understanding of the cold chain (develop domain knowledge)
• Read and understand algorithms and other techniques from academic papers

WHO YOU ARE:

Are you a resilient individual driven to capitalize on trends to shape future opportunities? If yes, this may be the position for you! You seek out experts and innovators to learn about the impact emerging technologies might have on your business. You become an early adopter. You stay on top of new communications technologies. You drill down to root causes to gather relevant information. You consult diverse resources and ask more questions. You use more problem-solving tools. You manage uncertainty with confidence. You gain perspective in the middle of chaos. You counteract closed-door thinking. You define issues and can map out a process. You utilize analytical tools to help explore potential scenarios. You encourage open dialogue to discuss alternative perspectives.

REQUIRED EDUCATION, EXPERIENCE & SKILLS:

• Bachelor’s in Applied Statistics, Analytics, Economics, Data Science or other relevant field
• Minimum of 3 years of relevant experience in a technology field.
• Applicant must have experience coding Python, R, or similar language.
• Familiarity with Microsoft Azure Cloud
• Process, clean, and verify the integrity of raw data.
• Strong applied statistic skills such as an understanding of probability distributions, statistical inference, and experimental design.
• Work through the development of algorithms for complex systems for the purposes of understanding, prediction, and optimization.
• Knowledge in mathematical optimization (Simulated Annealing, Genetic Algorithms) and Machine Learning. (Tree-based algorithms, Neural Networks, feature Selection Algorithms) preferred.

PREFERRED EDUCATION, EXPERIENCE & SKILLS:

• Experience with modeling techniques for complex systems and machine learning
• Familiarity with Microsoft Azure Cloud, Snowflake, and/or AWS
• Familiarity with database query language such as SQL