Are you motivated to contribute to the digital transformation of a successful specialized distribution company that is part of Berkshire Hathaway group? This is a unique opportunity to be at the forefront of using decision sciences and implement your solutions in production and have an impact on the business.
As a deep domain expert, you will work on great projects and develop applications that will contribute to the value TTI delivers to its customers. You hold an MS or a PHD with a major in operations research, applied statistics, computer science or machine learning.
The Senior Data Scientist will design, develop and implement valuable business solutions for the organization by preparing and cleaning data, designing and coding decision support systems and measuring performance of the recommended decisions. These applications will identify business trends and opportunities using advanced decision science. The candidate will interpret data from multiple sources using a variety of statistical and complex data mining techniques in order to provide guidance to the business and contribute to the value TTI delivers to its customers.
Design and develop decision support systems from the ground up that will improve business effectiveness and performance.
Analyze and interpret results from multiple sources using a variety of techniques, ranging from simple data clustering to more advanced classification problem using supervised learning techniques with cross validation.
Prepare big data, implements data models and develops database to support the business solutions.
Coordinate and communicating effectively across diverse functional teams (business leaders and technical teams) the applied logic as well as the data and the information used.
Prepare high-level and detail-level project plans and ensure that each project objective is being completed within the agreed upon deadlines.
TTI is an Equal Opportunity Employer – Minorities/Females/Protected Veterans/Disabled and other protected categories
EDUCATION & EXPERIENCE
Masters Degree in applied statistics, computer science, or related field of study required. Minimum of three years work experience in a big data environment.
SKILLS & CERTIFICATIONS
Hands-on technical and functional experience in building predictive modeling, decision support systems and datamining analysis in a big data environment
Experience in software engineering:
Deep knowledge of Python programming, Python libraries such as Pandas, NumPy, Scipy, PyBrain, etc. Solid experienced with SQL and writing procedures Knowledge of R programming and prototyping
Knowledge of Operations Research and decision sciences with the following:
Forecasting (Consumer Choice Modeling (Logit regression), time series, ANOVA, etc.) Segmentation models (CART, random forest, decision tree, etc.) Machine learning and deep learning (reinforcement learning)
Experience in problem solving and delivering workable solutions
Team player who enjoys working in a collaborative, agile environment
Good communication skills with the ability to explain the significance of data in a way that can be easily understood by others
Strong attention to detail, proficient organizational skills
Very high initiative and drive for organizational success
Internal Number: SENIO01083
About TTI, Inc.
Headquartered in Fort Worth, Texas, TTI, Inc. celebrated its 45th anniversary in 2016 as the world's leading authorized distributor specialist offering passive, connector, electromechanical and discrete components. TTI's extensive product line and supply chain solutions have made the company the distributor of choice for industrial, military, aerospace and consumer electronic manufacturers worldwide.
TTI's extensive product line includes: resistors, capacitors, connectors, discretes, potentiometers, trimmers, magnetic and circuit protection components, wire and cable, wire management, identification products, application tools, and electromechanical devices. These products are distributed from a broad line of manufacturers. TTI strives to be the industry's preferred information source by offering the latest IP&E technology and market information through the online MarketEye Research Center. MarketEye includes articles, technical seminars, RoHS, seminars, industry research reports and much more.
TTI's products, personalized service and custom supply chain solutions have earned us the most preferred passives distributor title by CMP Publications. TTI employs more than 6,700 people at more than 133 locations throughout North America, Europe and Asia.