Title: Lead Data Scientist : Location: Irving, TX

JD Details: A day in the Life of Data Scientist at Brillio: you will: • 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 • Must have experience working with Domino-Data Labs and ML ops deployments • Engage and mentor those around you in advanced statistical analysis concepts and foster data driven thinking • Stay abreast with current technical 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 For you to be successful, you must: • Build partnerships within and outside the team regardless of formal authority • Create value by anticipating and meeting needs of customers and delivering high-quality results and be accountable for outcomes • Disseminate personal knowledge, share own experiential learning with others and empower others by mentoring those around you • Be open and flexible to accommodate and implement new ideas, understand business complexities, nurture innovation and challenge the status quo persistently • Be subject matter expert in chosen area of specialty through continuous learning • Have an eye for detail to ensure accurate conclusions in data analysis and presentations You’ll bring this to the table: • Critical Thinking in order to drive end-to-end solutions to ambiguous problem; with 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, AWS • Experience with machine learning on big data. 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