Intermediate Professional, Data Science

About the role

This opportunity provides support to technical staff, engineers, and project managers for collecting, interpreting, publishing, and warehousing of data for project numbers, market research, logistics, aggregation, and extracting meaning. Tasks may include basic assistance with research and providing information and analysis as it applies to finances, productivity, sales, clients, forecasting knowledge, industry behavior and trends, and/or business decisions. Generates accurate and concise reports and documentation regarding assigned project specifications. Ensures that responsibilities are delivered and adhered to with a level of quality that meets or exceeds acceptable industry standards for design, safety, and functionality.

Responsibilities

• Sources, collects, compiles, and analyzes structured and unstructured data from various sources.
• Identifies data analytics problems that offer the greatest opportunities to the task or project.
• Develops technologies, modeling techniques, load/pricing calculations, new experimental frameworks, and analytical strategies to devise and apply models and algorithms to mine stores of big data, identify patterns and trends, and discover future-ready solutions and opportunities.
• Works with cross-functional teams in executing project work for internal and external clients, assisting technical staff and project managers with risk identification and assessment, offering input, analysis, and actionable results.
• Collects and reviews data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cleaning, validating, and cross-lingual alignment/mapping.
• Prepares data, visualizations, and reports summarizing research and specifications with findings and conclusions; generates complete, accurate, and concise documentation using tables, charts, calculations, and illustrations.
• Designs, develops, evaluates, and releases highly innovative models that elevate the customer experience and track impact over time.
• Triage client requests to ensure project success, including completion in time and for the results to be useful.
• Uses tools such as Tableau, Looker, and Google Data Studio to aggregate data from the ERP and other software to build and develop dashboards for both client-facing and internal purposes across the company that feature relevant KPIs and metrics.
• Aids in the preparation of professional deliverables on projects and business development proposals.
• Completes training on assigned tasks.
• Exercises responsible and ethical decision-making regarding company funds, resources, and conduct, adhering to WSP’s Code of Conduct and related policies and procedures.
• Performs additional responsibilities as required by business needs.

Requirements

• Bachelor’s Degree in Math, Data Analysis, Accounting, Finance or related field.
• 1 to 3 years of relevant post-education experience working as a data scientist/analyst.
• Familiarity with business intelligence tools (e.g. Tableau), and big data technologies (e.g. Hadoop, Spark).
• Familiarity with computer programming databases, coding, and testing (e.g. SQL).
• Familiarity with data management practices, performing exploratory data analysis, and employing research techniques.
• An analytical mindset with the ability to exercise sound judgment in evaluating situations, applying logic, and making decisions.
• Critical interpersonal and communication skills when interacting with others, and effectively articulating complex data in a simple, actionable manner.
• Critical self-leadership with attention to detail, accuracy, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
• Ability to work independently with minimal supervision, as well as part of a team to meet business objectives.
• High level of mathematical acumen, familiarity with statistics and predictive models.
• Proficiency with Microsoft Excel.
• Prior experience within the engineering consulting industry is preferred.

Qualifications

• Bachelor’s Degree in Math, Data Analysis, Accounting, Finance or related field.
• 1 to 3 years of relevant post-education experience working as a data scientist/analyst.
• Familiarity with business intelligence tools (e.g. Tableau), and big data technologies (e.g. Hadoop, Spark).
• Familiarity with computer programming databases, coding, and testing (e.g. SQL).
• Familiarity with data management practices, performing exploratory data analysis, and employing research techniques.
• An analytical mindset with the ability to exercise sound judgment in evaluating situations, applying logic, and making decisions.
• Critical interpersonal and communication skills when interacting with others, and effectively articulating complex data in a simple, actionable manner.
• Critical self-leadership with attention to detail, accuracy, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
• Ability to work independently with minimal supervision, as well as part of a team to meet business objectives.
• High level of mathematical acumen, familiarity with statistics and predictive models.
• Proficiency with Microsoft Excel.
• Prior experience within the engineering consulting industry is preferred.

Skills

• Data collection and analysis.
• Data visualization and reporting.
• Data management and processing.
• Data science and modeling.
• Big data technologies (e.g. Hadoop, Spark).
• Computer programming databases, coding, and testing (e.g. SQL).
• Data management practices, exploratory data analysis, and research techniques.
• Analytical mindset and decision-making skills.
• Interpersonal and communication skills.
• Self-leadership and multi-tasking abilities.
• Independent work and teamwork.
• Mathematical acumen and statistical knowledge.
• Microsoft Excel proficiency.

Benefits

• Comprehensive suite of benefits including medical, dental, vision, disability, life, and retirement savings.
• Flexible and agile workplace model.
• Opportunities for career growth and knowledge expansion.
• Participation in professional development and training programs.
• Work-life balance with occasional travel as needed.

Pay

Compensation is competitive and commensurate with experience.

Schedule

Hours are flexible and may extend beyond the typical workweek to accommodate project-specific requirements.