Sr. Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Key job responsibilities include:

• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Selecting features, building and optimizing classifiers using machine learning techniques
• Responsible 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 issues
• Analyzes 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-solving
• Interacting 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 Python
• Proficient with git or similar source control system; and Experienced with git-based development workflows
• Ability to design and consume well-tailored REST APIs
• Experience working in development teams with code reviews and varying levels of seniority
• Experience both in jumping into an existing architecture, and starting projects from scratch
• Proven ability to take initiative and dive into areas of new technology
• Self-motivated with a passion for learning, analyzing technology tradeoffs, and shipping product
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Proficiency in using query languages such as SQL
• Good scripting and programming skills
• Data-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 etc
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks
• Experience 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.
• Familiarity with project management methodologies as they will participate in multiple projects representing expertise for digital offerings and strategic