Principal Data Scientist Job Description
Principal data scientist
provides expertise in modeling & statistical approaches (machine learning methods ranging from regression methods, decision trees, deep learning, NLP techniques, uplift modeling; statistical modeling such as multivariate techniques).
Principal Data Scientist Duties & Responsibilities
To write an effective principal data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included principal data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Cross-collaborate with engineers on building statistical models, applying machine learning techniques for targeted solutions and effectively communicating the analysis and findings through interactive visualizations, documents and presentations
Partner with our in-house team of geneticists on R&D projects
Key responsibilities for leading a team a global team in model design, analytic approach, and data quality vetting
Provide insight into analytical software technologies
Actively manage team and remove performance blockers to ensure timely analytics delivery
Handling large amounts of data using various tools, including your own
Some of the capabilities should include
Apply your expertise in quantitative analysis, data mining, and the presentation of data to develop experiments and provide algorithmic problem-solving solutions
Handle large amounts of data using various tools, including your own
Ensure high-quality data and understand how that data which is generated out experimental design can produce actionable, trustworthy conclusions
Principal Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Principal Data Scientist
List any licenses or certifications required by the position: SAS, PMP, IAT, SCRUM, AWS, HPF, APICS, DAWIA, III, DODI
Education for Principal Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the principal data scientist job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Computer Science, Statistics, Engineering, Mathematics, Science, Education, Math, Machine Learning, Physics, Economics
Skills for Principal Data Scientist
Desired skills for principal data scientist include:
Statistics
R
Python
Decision trees
Machine learning
Probability
Model evaluation
Operationalization and scalability of scientific techniques and establishing decision strategies
SQL
Tuning and performance
Desired experience for principal data scientist includes:
Proficient with analytical approaches, statistical techniques and relevant technologies
Self-motivation, curiosity, initiative, innovation, and appropriately independent
Working knowledge of software development languages expected (Java, C, C , C#, PHP, Perl)
Demonstrated ability to working across the software stack, including data mining at scale, database design, and frontend/backend services
Fluency in many programming languages and ability to quickly learn new ones (C#, SQL, Javascript/TypeScript)
Experience leading agile process and proven success in shipping at high cadence
Principal Data Scientist Examples
1
Principal Data Scientist Job Description
Job Description Example
Our company is growing rapidly and is hiring for a principal data scientist. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for principal data scientist
- Adapting and enhancing machine learning techniques based on physical intuition about the domain
- Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results
- Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget
- Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products
- Support and mentor data scientists
- You like Big Data, and you cannot lie
- Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing)
- Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them
- Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing)
- Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties
Qualifications for principal data scientist
- Familiarity and/or contributions with open source software stack
- Ability to understand and translate business and product questions into analytics projects
- A MS degree (Ph.D
- Working knowledge and understanding of medical coding, including ICD, CPT, DRG
- Effective decision making skills -- experience negotiating and balancing decisions and priorities across needs of several functional departments and willingness to make tough decisions
- Must have end-end hands-on experience in delivering & implementing Big data analytics in production
2
Principal Data Scientist Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of principal data scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for principal data scientist
- Utilizes tools such as Python, Tableau, SAS, to perform complex data analysis and visualizations
- PhD in related area
- Experience with Teradata or Hadoop
- Clearly communicate the business and technical benefits of the analytic solutions to both business and technical audiences
- Achieve defined project goals within customer deadlines
- Build statistical models to form the foundation of business decisions and regularly monitoring the performance of those models so that corrective action can be taken
- Ensure effective functional resourcing strategies
- Coordinate and collaborate with cross-functional teams including product management, customer support & operations, sales, marketing and management
- Be a thought leader and technology evangelist and collaborate with marketing to promote Progress technology leadership in creative ways in online and offline channels
- Use data science to drive product innovation, customer success, marketing optimisation, and more across both our family history and consumer genomics businesses
Qualifications for principal data scientist
- Fluency in a programming or scripting language
- Demonstrated expertise in development tools and languages (e.g., SciPy, Python)
- Minimum of 3 years of experience working with application development practices in a medium to large software development team setting
- PHD of Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred
- In-depth knowledge of statistical software packages
- Strong coding abilities
3
Principal Data Scientist Job Description
Job Description Example
Our innovative and growing company is looking to fill the role of principal data scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for principal data scientist
- Act as a thought leader in the international business
- Conduct advanced statistical analysis to determine trends and data relationships
- Key responsibility will be to define new infrastructure to extract, manage, and analyze data in a scalable way
- Retrieve, prepare, and process data via variety of data sources such as social media, news, internal/external documents, emails, financial data, and operational data
- Evaluate all models and provide authorization of design, outcomes, and recommendations on implementation & validation steps
- Create road maps for implementation of data and analytics strategy, including infrastructure design and development of data models
- Establish data policies, standards, organization and enforcement of data governance
- Explain the ‘why & how’ of your data driven recommendations to cross-functional teams
- Be an expert on data (what is available, how it can be leveraged )
- Actively build IP via patent filing, white papers and conference papers
Qualifications for principal data scientist
- Fundamental understanding of statistics – hypothesis testing (t-test, p-values), confidence intervals, regression, classification, and optimization
- Experience communicating with both technical and business people
- Experience implementing models and analysis tools through the use of high-level modeling languages
- Proficient with SQL and experience with very large-scale data
- Intermediate to Expert level proficiency with statistical probabilistic modeling techniques such as regression, decision trees, neural networks, support vector machines, clustering techniques
- 7 years’ experience in data driven field
4
Principal Data Scientist Job Description
Job Description Example
Our growing company is looking for a principal data scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for principal data scientist
- Develop strong relationships with business, application and platform development team members by being proactive, displaying a thorough understanding of the business/product development processes and by recommending innovative solutions
- Integrating data from multiple sources including third party sources
- Provides consultative direction for the data science team and the organization as a whole
- Leads the identification and adoption of latest technology developments to ensure we maintain an infrastructure to extract, manage, and analyze data in a scalable way, and to develop best in class risk mitigations, acquisition engines, profitability algorithms, and new product enhancements
- Function as a predictive modeling expert or application team lead on internal and customer-facing external projects
- May manage a group of data scientists and engineers
- Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-building and external, customer-facing automated decision and system control needs
- Develops and implements statistical models to be used in a production environment to improve survey quality
- Conducts tactical or strategic analyses to address business and customer opportunities
- Works as a leader on the Audio Statistical Research team in a time-critical production environment
Qualifications for principal data scientist
- Expertise in advanced analytics tools and languages to analyze large data sets from multiple data sources
- Good business acumen practice
- Expert Level with R and/or Python
- Solid knowledge of Hadoop environment and ability to interact with large datasets using tools such as
- Exceptional core Project Management skills
- Knowledge of disease area
5
Principal Data Scientist Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of principal data scientist. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for principal data scientist
- Develop and train others on best practices for data processing, analytics, and documentation methodology and results
- Provide expertise in physics based modeling towards high fidelity predictive capability Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories
- Develops and implements statistical models to be used in a production environment
- Provides mentorship and day to day guidance to team members to improve the statistical proficiency of the team
- Perform problem domain definition, including data identification and analysis
- Extract, aggregate, manipulate, categorize, clean, and transform data associated within an identified problem space for use in predictive modeling
- Perform exploratory data analysis and feature generation
- Identify patterns and/or anomalies in large datasets
- Perform automated text/data classification and categorization entity recognition, resolution and extraction
- Will have both high and detailed responsibilities for prototype and production systems
Qualifications for principal data scientist
- Strong experience with analytical software and technology (such as SAS, R, RapidMiner, Tableau)
- The successful candidate is expected to have a graduate degree (preferably Ph.D.) in Statistics, Operations Research, Computer Science or Engineering
- Sr Professional Staff
- Advanced degrees in Computer Science, Math, Statistics, Economics, Astrophysics or other quantitative field
- Bachelors Degree in Mathematics, or Statistics, or Computer Science, or Engineering
- At least 1 year of experience analyzing and manipulating large data sets using tools such as SQL or Python