WSP is looking for an Early Career Data Scientist to assist with data analysis for projects related to market research, logistics, finances, productivity, sales, clients, forecasting, industry behavior, and business decisions.
Requirements
- Familiarity with business intelligence tools (e.g. Tableau), and big data technologies (e.g. Hadoop, Spark).
- Familiarity with computer programing databases, coding and testing (e.g. SQL).
- Familiarity with data management practices, performing exploratory data analysis, and employing research techniques.
- Analytical mindset with an ability to exercise sound judgement in evaluating situations, applying logic, and making decisions.
- High level of mathematical acumen.
- Familiarity with statistics and predictive models.
- Proficient with Microsoft Excel.
Responsibilities
- assist with sourcing, collecting, compiling, and analyzing structured and unstructured data from the field work, surveys, blueprints, spreadsheets, financial reports, computer-generated reports, and other matrices and disparate sources.
- perform basic professional data scientist work with identifying the data-analytics problems that offer the greatest opportunities to the assigned task.
- preparing data, visualizations, and reports summarizing research and specifications with findings and conclusions; generating complete, accurate, and concise documentation using tables, charts, calculations, and illustrations.
- Apply Statistical and Machine Learning methods to specific business problems and data.
- Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cleaning, validating, and cross-lingual alignment/mapping, etc.
- assist with assigned aspects of the design, development, evaluation, and release of highly innovative models that elevate the customer experience and track impact over time.
- Triage client requests to ensure project success to include completion in time and for the results to be useful.
Other
- Bachelor’s Degree in Math, Data Analysis, Accounting, Finance or related field.
- 0 to 1 years of relevant post education experience working as a data scientist/analyst.
- Capable interpersonal and communication skills when interacting with others, and effectively articulating complex data in a simple, actionable manner.
- Capable self-leadership with attention to detail, accuracy, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
- Ability to work independently under general supervision, as well as part of a team to meet business objectives.
