responsibilities work with a team of data engineers developers and domain experts from different functional areas to solve problems build mathematical models and automated machine learning tools to analyze and optimize all aspects of our azurebased scadalynx system providing insights in real time collaborate with data scientists data engineers and domain experts on data selection preprocessing and formatting for analysis you will also have the opportunity to help implement productrelated tools features andor designs success is measured in customer satisfaction monetizing our services customer retention product usage and adoption help the organization shape new product directions as well as implement product vision within the context of the next generation of product architecture while keeping data scienceanalytics at the forefront establish and implement endtoend proof of concept for data analyses create innovative methodologies for extracting value from client data establish strategic partnerships with technical leadership across functional areas present to senior leadership as well as external audiences demonstrates the ability to create new and different solutions that align to realworld problems and opportunities requirements for the position proficiency in data analysis languages including python r and sql extensive python experience strongly preferred 35 years handson experience in machine learning statistics or experiment design masters degree required and phd strongly preferred in computer science statistics physics or a related field with focus on data analysis preferably from a toptier institution expertise in machine learning statistics data analysis and software development must have an excellent knowledge of advanced methods and experience in applying those methods to a variety of applications solid grasp of probability statistical or mathematical modeling with analytical and quantitative problemsolving ability experience with timeseries analysis strongly preferred strong sense of teamwork and a willingness to help others ability to effectively communicate technical concepts to both technical and nontechnical staff members demonstrated experience in applying machine learning to realworld problems solid understanding of software development cycles work with source control systems including git databases web servers microsoft and linux platforms good interpersonal presentation and communication skills selfmotivated and selfdirected able to learn new technologies quickly and adapt to a rapidly changing environment desired skills for the position experience with jupyter notebooks experience with linux container technologies including docker and kubernetes experience working in a collaborative data science teambased environment and familiarity with microsofts team data science process tdsp knowledge of microsoft azure platform including azure machine learning azure data lake streaming analytics and hdinsight highly desired experience with big data and distributed computing technologies such as apache hadoop apache spark hive and pig highly desire knowledge of petroleum and process verticals production automation field automation andor telemetry along with business finance economics would be a plus knowledge of software systems design principles architecture guidelines and general functioning of middleware messaging systems along with service oriented architecture soa are advantageous knowledge of agile scrum software methodology and full software development lifecycle sdlc experience additional information candidates must be able to successfully pass a preemployment background check and drug screen candidates