DowTechie is human centric company. Our people are highly skillful, insights and deep industry experience as needed to shape client requirement. Our main focus on technologies related to digital disruption, competitive agility, operating and business model, as well as the future workforce, helps our clients find future value and growth in a digital world. We offer highly objective points of view with emphasis on business, technology and analytics, leveraging our deep industry experience. That’s high performance, delivered.
Clearly communicate methods and conclusions with simple language and innovative visualizations to management and executives. Work effectively on a team as well as a self-driven individual to do research and develop cutting edge and effective solutions for the business. Provide expertise in analyzing and visualizing large, complex, and unique data sets. We are looking Create new insights that will drive business growth and profitability in the short and long term. Deploy analytics code with a continuous integration environment incorporating version control, build servers, and test servers. Design and implement programs and automation to collect, mash up, process and analyze distributed real-world data. Collaborate with cross-functional teams to understand complex business problems, build statistical models, and create predictive tools.
A strong applied mathematics and statistics knowledge Experience making actionable decisions out of seemingly inconclusive data sets Strong knowledge of supervised and unsupervised machine learning techniques and methodologies Experience with relational and non-relational databases Strong experience with tools for managing, analyzing, and visualizing large datasets Programming experience with two or more of Python, Lisp, Java, Scala, R, Matlab, Golang, or C++ Creativity and persistence in locating, extracting and analyzing any and all relevant data Problem solving versatility: making the best decisions possible given the data quality and time available Strong analytical thinking and ability to quickly pick up new methods, tools and programming languages Past success in extracurricular math/science activities or competitions Involvement through participation with community events such as meetups or security conferences related to data science Experience with Spark and Jupyter Knowledge of networking and telecommunications Experience with sklearn, pandas and numpy Knowledge of malware and network traffic analysis techniques User level experience in a Unix-based environment.
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- Company:
Dow Technologies and Systems - Designation:
Lead Data Scientist - Profession:
IT / Information Technology - Industry:
Computer and IT