Data Science Lead

Job Description

* Data Scientist Key job responsibilities include: Data mining using state-of-the-art methodsEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerCreating automated anomaly detection systems and constant tracking of its performanceSelecting features, building and optimizing classifiers using machine learning techniquesResponsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs)provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issuesAnalyzes complex business and competitive issues and discerns the implications for systems support. Identifies, defines, directs and preforms analysis of technical and economic feasibility of proposed data solution.Creates and manages a machine learning pipeline, from raw data acquisitions to merging and normalizing to sophisticated feature engineering development to model execution.Exhibit advanced visualization skills, as well as creative problem-solvingInteracting with customers to have an in-depth understanding of their operations to improve their processes for managing equipment and interfacing with Caterpillar.Providing project leadership, advice, and counsel to developers, management, customers and project teams on the most complex aspects of application development and system integration., * Qualifications Basic (Required) Qualifications: Strong analytical skills.A Bachelor s Degree from an accredited college or university or equivalent years (4 years) of experience relevant to this role.Five or more years of progressively responsible role relevant experiences that demonstrate both breadth of business knowledge and depth of digital and analytical skillsets.Curiosity about and a deep interest in how digital technology and systems are powering the way users do their jobs.Comfortable working in a dynamic environment where digital is still evolving as a core offering.Ability to clearly and succinctly explain complex topics.Expert in Python; familiar with concurrency in PythonProficient with git or similar source control system; and Experienced with git-based development workflowsAbility to design and consume well-tailored REST APIsExperience working in development teams with code reviews and varying levels of seniorityExperience both in jumping into an existing architecture, and starting projects from scratchProven ability to take initiative and dive into areas of new technologySelf-motivated with a passion for learning, analyzing technology tradeoffs, and shipping productGood applied statistics skills, such as distributions, statistical testing, regression, etc.Proficiency in using query languages such as SQLGood scripting and programming skillsData-oriented personality Desired Qualifications: Experience with common data science toolkits, such as Python, R, Weka, MatLab, etc (Excellence in at least one of these is highly desirable)Experience in Data science frameworks Jupyter notebook, AWS Sagemaker, Azure ML etcExperience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networksExperience with data visualisation tools, such as Tableau, PowerBI, AWS Quicksight, D3.js, GGplot, etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Top candidates will also: Demonstrate experience translating customer needs to development requirements for software.Consistently produce high-quality work by asking the right questions, thinking critically about problems, and relentlessly pursuing quality.F amiliarity with project management methodologies as they will participate in multiple projects representing expertise for digital offerings and strategicCaterpillar is an Equal Opportunity Employer (EEO)EEO/AA Employer. All qualified individuals - including minorities, females, veterans and individuals with disabilities - are encouraged to apply.

Keyskills :
data miningdata scienceproject teamscontrol systemdecision treesdata collectionproblem solvingneural networksmachine learningleadership skills