Opportunity at
SutherlandManager, Advanced Analytics & Data Science (Individual Contributor)
Sutherland seeks a Manager for Advanced Analytics and Data Science to operate in an individual contributor capacity on-site. This role involves conducting deep-dive analyses, building machine…
Career Tools
About This Role
Sutherland seeks a Manager for Advanced Analytics and Data Science to operate in an individual contributor capacity on-site. This role involves conducting deep-dive analyses, building machine learning models, applying artificial intelligence and natural language processing techniques, and consulting with business stakeholders to guide strategic decisions. The position suits an analytical professional who can translate complex data into executive-level insights and collaborate with engineering and leadership teams.
Job Description
Sutherland seeks a Manager for Advanced Analytics and Data Science to operate in an individual contributor capacity on-site. This role involves conducting deep-dive analyses, building machine learning models, applying artificial intelligence and natural language processing techniques, and consulting with business stakeholders to guide strategic decisions. The position suits an analytical professional who can translate complex data into executive-level insights and collaborate with engineering and leadership teams.
Responsibilities
- Perform deep-dive data analyses to discover operational patterns, trends, risks, and business opportunities
- Design, construct, and implement predictive algorithms such as classification, clustering, forecasting, and recommendation models
- Examine unstructured data including customer feedback, operational documentation, transcripts, and interactions using artificial intelligence and natural language processing methods
- Consult directly with business leadership to establish project requirements, align priorities, and turn data insights into measurable actions
- Collaborate with data engineering teams to maintain data accessibility, governance, and quality standards
- Translate legacy reporting procedures into scalable modern data solutions
Requirements
- Hold a bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or Economics
- Accumulate at least four years of professional background in data science, advanced analytics, or business analytics
- Demonstrate proficiency in Python and SQL for modeling and analysis
- Possess experience in building statistical and predictive models covering regression, forecasting, segmentation, and classification
- Utilize version control tools like Git
- Communicate technical concepts clearly to non-technical stakeholders and business leaders
Qualifications
- Familiarity with cloud analytics environments like Databricks
- Knowledge of large-scale data processing frameworks including Spark SQL and PySpark
- Background in text analytics, natural language processing, and artificial intelligence model deployment
- Exposure to operational analytics, resource planning, optimization modeling, or workforce optimization
- Experience working in high-volume customer-facing, operations, sales, or service settings
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this position?
The posting specifies that this is a full-time position.
Is this role remote or on-site?
The source explicitly states that this role is on-site.
What salary is offered for this role?
The salary is not stated in the job posting.
What is the primary educational requirement?
Candidates must have a bachelor's degree in a quantitative discipline like Statistics, Mathematics, Data Science, Computer Science, Engineering, or Economics.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
