Job Description:
- Take ownership of large-scale data science engagements and drive end-to-end solutions that have efficient and productionable algorithms, and communicate relevant insights to stakeholders through storyboards/presentations
- Engage and mentor those around you in advanced statistical analysis concepts and foster data driven thinking
- Stay abreast with current technology and industry development and constantly strive to devise innovative statistical models for data analysis
- Communicate with multi-disciplinary teams, internal and external stakeholders define problems, uncover insights hidden in large data sets that drive impactful business decisions
- Actively participate in external forums and industry conclaves
You- ll bring this to the table:
- Critical Thinking in order to drive end-to-end solutions to an ambiguous problem; with an excellent sense of risk and resource management
- Strong analytical skills with the ability to collect, organize, review significant amounts of information
- Strong problem-solving skills with an emphasis on product development
- Experience using statistical computer languages (R, Python, SAS) to manipulate data and draw insights from large data sets
- Expertise in basic statistical concepts such as properties of distributions, statistical tests and their proper usage
- Expertise in advanced machine learning techniques such as Clustering, Regression/Classification, Time Series Analysis, Network Analysis, Popular Deep Learning architectures and theory, simulation, scenario analysis
- Experience with some optimization techniques (Linear Programming, Genetic Algorithm, Sim. Annealing, MC Simulation)
- Clear, professional written and verbal communication skills, ability to easily communicate complex ideas
- Experience with any distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, etc. or AWS/Azure
It would be exceptional if you also have this:
- Expertise in Image, Video, Speech, Sound, Text domain
- Working knowledge of concepts and application of Design of Experiments
- Depth across areas within the domain or industry
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