Data Scientist

Key Skills

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

Job Description

Job Description

• Design and implement robust, scalable data solutions which enable the expertise to compile and translate data into information and enable business strategies, enable quality data and unlock business value.
• Responsible for architecting designs and implementation of a data product line for the overall business, data, and analytics needs.
• Influence technical direction for solutions related to our Digital Transformation strategy.
• Set and refine technical objectives for developing capabilities to rapidly implement against Corporate Services digital transformation needs.
• Develop and implement software and data quality standards.
• Manage interdependencies and integration among multiple technical projects and teams, to define and transform current data processes.
• Create and maintain optimal, scalable architecture, including building API integrations to support continuing increases in data volume and complexity.
• Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL and Azure Cloud (Azure) technologies.
• Build data tools and capabilities for analytics and data scientist team members that utilize the data pipeline for building and optimizing our solutions to deliver construction analytics, including training.
• Build advanced analytics data models used for optimizing business solutions, including machine learning models and algorithms
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Work with internal IT partners, stakeholders including analytics and business teams to execute against data and analytics needs across corporate services projects, including assisting with system-related technical issues and support their data infrastructure needs.
• Engage with business users on analytics and data problems, assist with inferences and observations to further understand business needs/value and develop analytics requirements and solutions.
• Develop software, algorithms, and applications to apply mathematics to data, build data driven apps to translate data into intelligence, solve a variety of operational business problems and enable insights to drive business strategy.
• Build break through analytics solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses /develops machine-learning algorithms to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Robotics, etc.
• Partner with advanced data and analytics engineers to operationalize AI/ML solutions to address day to day business problems. Completes programming, testing, debugging, documentation and/or deployment of the solution/products.

The successful candidate should exhibit the following behavioral traits:

• Technical leadership skills for architecting and designing end-to-end data pipelines for delivering analytics solutions.
• Passion for technology and software, with a focus on data and analytics.
• Communication, both oral and written, and influencing skills.
• Stakeholder management skills.
• Skills to work in ambiguous environments with teams of highly skilled individuals.
• Skills to gather requirements for complex processes and organize them in a clear and concise manner.
• Interpersonal and leadership skills.
• Energizing, results oriented, problem solving and multi-tasking skills.
• Work in a collaborative, multidisciplinary, matrix structured, and customer focused environment.
• Passion for understanding the expectation of customers.
• Thrive in a rapidly evolving, globally distributed organization.

Qualifications

Minimum Qualifications:
The candidate must have at least one of the following:

• Bachelor's degree in Computer Science, Mathematics/Statistics, Data Science, or equivalent Business degree with Data Science/Analytics focus and 6+ years of experience in applying software engineering/data engineering/machine learning or statistical methods to extract insight from large scale data.
• Master's degree in Computer Science, Mathematics/Statistics, Data Science, or equivalent Business degree with Data Science/Analytics focus and 4+ years of experience in applying software engineering/data engineering/machine learning or statistical methods to extract insight from large scale data.

Preferred Qualifications:

• Technical leadership skills for architecting and designing end-to-end data pipelines for delivering analytics solutions
• Skills to Extract, Transform, Load (ETL) varying types of data, including blending/wrangling from multiple, disparate sources for enabling data consumption from business users.
• Programming skills developing simulations, robotic software.

Experience in:

• Azure data and analytic services, including Azure Data Factory, AI/ML tools like Azure ML; including creation of business-level data models and creating visualizations for generating business insights.
• Analytics packages like R, JMP.
• Scripting and programming languages like Python, Perl, Java, C/C#/C++.
• Relational databases like SQL Server and PostgreSQL.
• Providing technical support and requisite tools training for data analytics at scale. Active engagement in communities to promote adoption of advanced analytics.
• Maintaining technical competency in emerging data analytics skills and tools and develop /drive POCs to validate (Cloud based Analytics solutions, Structured and Unstructured data tools), Analytics packages, scripting languages, Big Data technologies.