Data Science Manager

6 months ago

Halifax, Canada Cognizant Technology Solutions Full time

**Data Science Manager**

At Cognizant, our global community sets us apart—an energetic and inclusive environment where everyone can thrive. And with projects at the forefront of innovation, you can build a varied, rewarding career and draw inspiration from dedicated colleagues and leaders. Cognizant is right where you belong.

Role Overview

As a Data Scientist you l use data to help organizations or customers make decisions through data analysis, modeling, correlation, and presentation.

**What you’ll do**
- Understanding products' data strategy, business functionalities, and success measures to provide context for designing and building models.
- Interpreting Product/Product data mapping, demonstrating strong business insight.
- Understands basic data extraction and data transfer tools applied
- Analyzes the use of data within products and develop integration methods in support of that projects data needs.
- Designs and builds data integration methods to guarantee accuracy as well as accessibility of all valuable data while understanding what data is important for that project and why.
- Creates and maintains accurate and relevant network documentation including diagrams, as-built documents, configuration templates, inventories and IT Service Catalog.
- Ability to conduct data profiling, cataloguing, and data mapping for technical design using a use case-based approach that drives the construction of technical data flows.
- Collecting data through means such as analyzing business results or by setting up and leading new studies
- Transferring data into a new format to make it more appropriate for analysis
- Creating new, experimental frameworks to collect data
- Building tools to automate data collection
- Searching through large data sets for usable information
- Correlating similar data to find actionable results

**What you bring to the role**

**Education**: Bachelor degree or equivalent experience in Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.

**Required Experience**:
7-10 years hands-on experience with data science, AI, and big data. Data engineering in Healthcare is a plus

**Behavioral Competencies**:

- Communication is crucial, must be able to listen and understand the question and develop and deliver clear insights.
- Outstanding teammate.
- Independent and able to handle and prioritize workload.
- Ability to quickly and positively adapt to change.

**Technical Competencies**:

- Good understanding of data standards and structure
- Knowledge of using automated machine learning (AutoML) frameworks to enhance productivity
- Experience working in Python, R, Scala, and/or T-SQL preferred
- Experience connecting to Data Platforms including data lakes, data warehouses, NoSQL databases, and APIs
- Familiarity with business intelligence tools (e.g., Tableau)
- Ability to perform exploratory data analysis
- Experience with big data technologies such as Hadoop and Spark
- Strong mathematics skills (e.g., statistics, algebra)
- Ability to visualize data in the most effective way possible for a given project or study

**What we offer**
- **The chance to work with impact.** Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- **Ownership over your career.** Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you adjust by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- **The opportunity to grow with a high potential team with heart.** We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- **A comprehensive total rewards package,** **including a competitive salary and pension plan with matching contributions.
- **Flexible health and financial benefits** **to support you and your eligible dependents**—from day one.
- **True work-life balance.** Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.

Working Arrangements

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Ontario and/or Nova Scotia, where our hubs are located. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

**Note**: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now

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