Job details
Our client is looking for a Jr. Data Scientist that will support their client acquisition, sales, leadership and marketing teams with insights gained from analyzing company data. The Data Scientist is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. The Data Scientist has experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
Job description
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Analyze scoring using machine learning techniques.
- Build analytical, predictive, and recommendation systems.
- Present information and communicate findings using data visualization techniques.
- Preprocess, cleanse, and verify the integrity of data in order to build models and cubes.
- Drive the collection of new data and refine existing data streams.
- Data mine using state-of-the-art methodology.
- Develop prototypes and proof of concepts for predictive models and data analytics.
- Extend company’s data with third party sources of information when needed.
- Perform and interpret data studies and conduct experiments with new data sources or new uses for existing data sources.
- Enhance data collection procedures for robustness and reliability.
- Perform ad-hoc analysis and present results in a clear and concise manner.
- Provide ongoing tracking and monitoring of performance of statistical models.
- Recommend improvements to methods and algorithms leading to new findings.
- Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and teamwork skills
- Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
- Adept at communicating to both technical and non-technical audiences
- Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources
- Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores
- Experience designing high quality interfaces to present information in a meaningful way to end users
- Broad understanding of data management, financial and business analysis, database architecture, and information visualization
- Proficiency in query languages and experience constructing complex query statements
- Experience in one or more programming or scripting languages
- Strong investigative and logic skills
- Proficiency in mathematics and statistics
- Awareness of emerging Business Intelligence trends and directions
- Functional area experience as required
Job qualifications
- A Bachelor of Science degree in Computer Science or equivalent,
- Major in Data Science an asset.
- A minimum of three years’ experience
- Strong problem-solving skills with an emphasis on product development.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and teamwork skills
- Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
- Adept at communicating to both technical and non-technical audiences
- Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources
- Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores
- Experience designing high quality interfaces to present information in a meaningful way to end users
- Broad understanding of data management, financial and business analysis, database architecture, and information visualization
- Proficiency in query languages and experience constructing complex query statements
- Experience in one or more programming or scripting languages
- Strong investigative and logic skills
- Proficiency in mathematics and statistics
- Awareness of emerging Business Intelligence trends and directions
