Data Scientist

Company Name: Mobivity
Location: Canada
Posted by:

Caeli Widger

Caeli Widger

Principal & Sr. Recruitment Consultant

Come join a great team of developers, engineers and data scientists in our downtown Halifax, NS office. You’ll be a part of a fast-growing team helping businesses unlock the power of data, predict and influence their customer behavior, and accelerate revenue opportunities.

 

You’ll earn a competitive salary and participate in our excellent benefits program including paid time off, health insurance and more.

 

We’ve built a great team of fun, respectful, talented folks who do great work. Find out more about us at https://www.mobivity.com/

 

Duties and Responsibilities

 

• Lead the discovery process with stakeholders to identify business requirements and expected outcomes
• Subject matter expert in Mobivity’s data offerings, ability to work with leadership to identify opportunities that leverages our data
• Make strategic recommendations on data collection, integration and retention requirements by incorporating business requirements and knowledge of best practices
• Design experiments, test hypotheses and build models
• Develop innovative and effective approaches to solving analytic problems
• Communicate results and methodologies used to stakeholders in easy to understand terms
• Apply advanced statistical and predictive modeling techniques to build, maintain and improve decision systems
• Identify and create the appropriate algorithms to discover patterns and support predictive analysis
• Ensure expected outcomes are understood and analysis strengthens use cases
• Ensure information stored and exposed to end users is in compliance with regulatory and security policies
• Work closely with Data Engineers and Developers to enhance data quality
• Communicate to the organization our data principles and the math behind processes to drive organization buy-in
• Provide on-going tracking and monitoring of performance of decision systems and statistical models, recommending improvements to methods and algorithms
• Lead the design and deployment of enhancements and fixes to systems as needed

 

Desired Skills & Qualifications

 

• Masters degree in mathematics, statistics or computer science or related field; PHD degree preferred.
• 5+ years of relevant quantitative and qualitative research and analytics experience
• Solid knowledge of statistical techniques
• Ability to create solutions loosely defined by business problems by leveraging pattern detection over large datasets
• Strong SQL and Python scripting skills
• Knowledge of AWS infrastructure and tools (Data Pipeline, Redshift, EMR clusters, EC2, S3, Firehose, Kinesis, QuickSight)
• Experience using machine learning algorithms
• High proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing and optimization algorithms
• Strong communication and interpersonal skills
• Experience leading teams
• In-depth industry/business knowledge

• Seniority level

  Mid-Senior level

• Employment type

  Full-time

• Job function

  EngineeringScience

• Industries

  Computer Software