Digital Specialist

Summary:
We are looking for a talented and motived Senior Data Scientist to help improve platform data quality by defining and implementing quality metrics, performing root cause analysis of data quality problems, and developing algorithms as well as ML/AI models to address the most challenging data quality issues. In this role, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets and our integrated network of dealers. You will also use analytics and visualization methods to solve problems for Client internal customers. Top candidates will have prior experience in developing ML/AI solutions and business intelligence, be proficient in SQL and Python, have experience with cloud computing and dashboard design.

Responsibilities:
Competent to perform all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work.
Works directly on complex application/technical problem identification and resolution, including responding to off-shift and weekend support calls.
Works independently on complex systems or infrastructure components that may be used by one or more applications or systems.
Drives application development focused around delivering valuable business features
Mentor and assist data scientists, providing technical assistance and direction as needed
Maintains high standards of software quality within the team by establishing good practices and habits
Identifies and encourage areas for growth and improvement within the team
Guide the team to develop a structured application/interface code, new program documentation, operations documentation and user guides in a casual, flexible environment
Communicate with end users and internal customers to help with direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness
Performs integrated testing and customer acceptance testing of components that require careful planning and execution to ensure timely, quality results.
Employees are also responsible for performing other job duties as assigned by Client management from time to time.

Basic Qualifications:
BS or MS degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree
7+ years of software development experience or 5+ years of experience with master’s degree
5+ years of experience in designing and implementing data processing and machine learning frameworks
5+ years of experience with Python, NoSQL and relational databases
3+ years of experience with SQL

Requirements:
MS degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree
Proven experience in some of the following:
Compiling and standardizing diverse, non-sanitized datasets.
Working with structured and unstructured data.
Developing classification and regression models.
Unsupervised learning algorithms.
Experience integrating analytical models with existing data pipelines.
Solid knowledge of statistical approaches, quantitative analytic methods, data management techniques, and/or related digital technologies, and the ability to handle complex issues.
Proven experience with AWS full-stack development and services such as Athena, Glue, DynamoDB, EC2, EMR, RDS, S3, SageMaker
Experience with Snowflake data warehouse
Experience visualizing data using BI software such as Tableau and MS Power BI
Good organizational skills and an aptitude for complex analytical and detailed work; ability to prioritize among multiple concurrent projects in order to meet deadlines in a timely manner.
Experience gathering information systematically
Ability to consider a broad range of issues or factors, grasp complexities and perceive relationships among problems or issues, and use accurate logic in analysis
Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
Ability to work independently or collaboratively in a complex, rapidly changing, and culturally diverse environment.
Ability to learn and comply with company policies and procedures
Passion for technology and an eagerness to contribute to a team-orientated environment

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