- Bachelor's Degree
- Master's Degree
- Doctoral Degree
- Management Experience
The Principal Data Scientist is a hands-on Machine Learning, Data enthusiast and a detail-oriented practitioner. This individual is responsible for developing the big data strategy, building the data science team that will focus on implementing and deploying the state of art machine learning models and develop self-service analytical products to provide contextual Insights. This role while reporting to the department head will drive establishing effective, scalable processes and best practices in ML/AI across the organization. The Principal Data Scientist will be the go-to individual who works closely with internal cross functional teams and external customers while leading and progressing the organizational advanced analytics capabilities.
Subject Matter Expert (SME) for the data collection, data science and data visualization initiatives across the department’s big data projects.
Be a thought leader, create white papers and represent the organization at various industry conferences and events Executive presence with the ability to present, interpret, and recommend results of work including the development of new concepts, major advances in the field, new major applications, and progress on all product programs.
Engage with sponsors in business units, functions, or Senior Management as well as with data subject matter experts to identify requirements, understand and define data collection work practices, and acquire data
Provide leadership and mentoring to data scientists/engineers and practitioners
Partner with cross functional teams to produce integrated end-to-end solution options and deliver on quality products.
Passionate about automation and work towards identifying opportunities for increasing efficiencies across the organization.
Be the visible face of the data science team to internal partners, external customers and prospects, and the data scientist community at large
Build the data science team managing the short and long-term goals, KPI's, and vision for the team
Keep pulse of the latest development in AI/ML, big data, and the tools and products data scientists and businesses uses
Role Specific Skills
Hands on practitioner and enthusiast with strong problem-solving skills on product development
Advanced knowledge of extracting data from relational and NoSQL (Document, Graph, Columnar) databases
Expert in data structures and algorithms with expertise in working with structured, semi structured and unstructured datasets
Experience working with OLTP/OLAP data architectures
Knowledge of supervised, unsupervised machine learning techniques (clustering, decision tree, neural networks, etc.) and their real-world advantages/drawbacks.
Lead all phases of the end to end Machine Learning Pipeline/Lifecycle: data preparation, cleansing, modeling and fine-tuning to build accurate, robust, and reliable statistical results
Spearhead technical aspect of model deployment and work with IT and Solution Architects to ensure the full integration of the model
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
A drive to learn and master new technologies and techniques
Familiar with the following software/tools/platforms:
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using scripting languages: Python, SQL, etc.
Experience with cloud computing (ML) platforms (AWS, GCP, Azure, etc.)
Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Spark, etc.
Experience creating and using advanced machine learning algorithms and statistics: Regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience with data visualization tools such as Tableau, PowerBI and charting libraries sich as D3,js and presenting data to stakeholders
These are the professional skills we would expect from an individual fully established in this role.
Customer Service - Proficient
Verbal Communication - Advanced
Written Communication - Advanced
Teamwork - Advanced
Relationships – Advanced
Organizational Awareness - Proficient
Learning Agility - Expert
Analysis - Expert
Problem Solving - Expert
Process Orientation - Expert
Prioritization - Advanced
People Management Skills
Proficient in all people management processes, including recruitment, performance management and reward
Proficient in building, growing and developing a team; including department structure design and resourcing
Proficient in coaching and developing individual team members to reach their potential
Proficient in engaging a team through communication, processes, personal impact and influence]
Bachelor’s degree required. Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field (Preferred)
At least 7 years of experience in developing and applying advanced analytics and machine learning techniques to software product development and creating high-impact business analytics initiatives
Other Relevant Qualifications
Experience building production services, preferably as part of a product development team. A track record of implementing data-driven products is ideal
Please note, this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities, and schedule may change at any time with or without notice.
SMS Assist is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.