Data Scientist - Predictive Modeling/python/r

Job Description

• Role Summary : - The Data Scientist will be responsible for developing valuable algorithms rules KPIs and reports working cross-functionally with Engineering GRC ITPE and others to address statistical machine learning and data mining problems in an applied research environment. - In this role you will apply modern machine learning and statistical methods for finding structure and value in both large and small data sets. Essential Responsibilities : - Identify data sets required to develop predictive models for solving internal and external business problems - Explore data sets and identify data transformation and data quality needs for targeted applications - Develop algorithms and predictive models to derive insights and business value from data - Test and validate algorithms and models using statistical and other techniques - Effectively communicate technical analyses and results to business management - Protect the Intellectual Property rights of the company - Work with technical teams in application and deployment of data mining methods - Perform exploratory and targeted data analyses - Ensure proper definition of data needs evaluation of data quality and critique appropriate statistical analyses; for critical projects perform needed analyses - Ensure proper definition of data needs evaluation of data quality and critique appropriate statistical analyses. Quality Specific Goals : - Aware of and comply with the Quality Manual Quality Management System Quality Management Policy Quality Goals and applicable laws and regulations as they apply to this job type/position - Complete all planned Quality & Compliance training within the defined deadlines - Identify and report any quality or compliance concerns and take immediate corrective action as required - Lead continuous improvement activities by driving the implementation of process and product quality improvement initiatives. - Bachelors degree in Computer Science Mathematics or Engineering or closely related fields- Minimum of 5-7 years of experience in data analytics or related industry- Practical understanding of the Data modeling concepts- Experience in one or more analytics software tools and packages e.g. R Python etc- Experience with SQL and one RDBMS product (Oracle Teradata etc.)- Experience in software development and the software development lifecycle- Ability to clearly communicate program status issues risks plans etc. to leadership- Proven ability to create and maintain online and printed documentation- Effective team player and contributor with solid communication skills in interfacing with both team members and management- Able to simplify strategy into specific actions with clear accountability make decisions with speed and accuracy based on best available information and communicate priorities clearly and concisely.- Extremely knowledgeable in data concepts and technologies.Desired Characteristics :- Experience with Linux/Unix operating system shell script and perl- Experience with one BI visualization software (Tableau Spotfire etc.)- Experience with data extraction data cleansing data manipulation ETL tools and big data technologies data dictionaries and data management processes- Global mindset with ability to effectively work on distributed remote teams- Familiarity with IT Systems and software development- Experience / familiarity with Remote Monitoring & Diagnostics- Strong communication skills with ability to communicate effectively / clearly at different levels in the organization- Ability to work well in team environment - PhD. in Computer Science Mathematics Applied Statistics OR in STEM Majors (Science Technology Engineering and Math)- Experience to apply theoretical knowledge to solve industrial problems- Experience with integrated Big Data programming environments and Competency in major analytics software packages and programming environments (e.g. Hadoop / Map-Reduce Mahout; Python R Java etc. in Big data paradigms).

Job Summary