Data Scientist

Job Title:

Job Description

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today’s hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of Integrated Services.

Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.

We embrace our game-changers with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are.

Join us and be part of this journey towards greater opportunities and brighter futures.

The Consultant, Decision Sciences (Data Scientist) is responsible for supporting clients through the data & contact operations by providing insight to drive overall campaign performance, as well as working with other business areas where our expertise can be of assistance.

Requirements:

• Advanced English Speaker. Fluent in verbal and written English. High proficiency level (85%>).
• Bachelor's Degree in Statistics, Mathematics, Computer Science, or a related field.
  2 - 4 years of experience as a Data Scientist or Data Analyst.
• Proficiency with statistical analysis packages, such as SAS, SPSS, and other computer programs that facilitate statistical analyses, data mining services, and productivity improvement tools are a plus.
• Experience with programming languages Python or R.
• Experience in data mining and predictive modelling activities.
• Advanced Microsoft Office skills.
• Advanced SQL skills.
• Demonstrated ability to communicate technical and statistical concepts clearly and in a manner that can be understood by those outside the field of specialty.
• Excellent communication skills, both written and verbal. Ability to effectively present information to internal and external associates.
• Undertaking data analysis to provide insight, making complex topics or findings relevant to decision makers.
• Data visualization experience; familiar with creating business intelligence reports utilizing Tableau, Power BI, or similar tools (preferred).
• Experience using AWS or similar cloud-based technologies (preferred).
• Familiarity with AI/ML concepts, tools, and practical applications.
• Experience using JIRA for task tracking, project coordination, and workflow management.
• Familiarity with GitHub and/or GitLab for version control, collaboration, and code repository management is preferred.

Responsibilities:

• Manipulate, analyze, and interrogate data sets.
• Present findings to both internal and external clients.
• Attend meetings and workshop sessions regarding both potential work and current/ongoing pieces of work.
• Take responsibility for effective planning and delivery of project work.
• Become a thought leader in the development and deployment of both analytical and general value-add propositions.
• Identify, nurture, and maintain relationships with both internal and external stakeholders, ensuring effective collaboration from internal teams and the identification of business opportunities.
• Provide analytic services using statistical techniques.
• Utilize data mining tools and techniques in support of programs, database modelling projects, and marketing research projects.
• Design and write code and queries (often using R) to extract, transform, and load data for analytic projects.
• Aggregate and merge extracted data to create datasets that fulfil project analytic requirements.
• Conduct decision support and statistical analysis appropriate to developed analytic plans using statistical tools (R).
• Provide answers and explanations to project teams regarding analytic methodology, design, and processes.
• Coordinate schedules to ensure all deadlines are strictly met.
   Prioritize tasks and inform relevant parties involved.
• Work closely with Concentrix internal clients and account teams throughout all phases of a project.
• Identify opportunities for value-added analyses, process improvement opportunities, and execute incremental analyses with identified client value.
• Support the development of standardized analytic procedures for marketing research and predictive modelling projects.
• Function independently with little intermediate supervision of assigned tasks prior to completion.
•  Apply predictive modelling and data mining tools and techniques as appropriate.
• Participate in product development, training, and sales materials development.
• Assist in sales support and developing project methodologies and design.
• Use JIRA to track assignments, update progress, and support project delivery governance.
• Leverage GitHub and/or GitLab to manage code versions, collaborate with team members, and maintain organized repositories.
• Contribute to the exploration and application of AI-driven solutions to enhance analytics, automation, and business insights where applicable.
• Complete all assigned, mandatory training within the timeframe provided.
• Conduct and/or participate in regularly scheduled 1:1 meetings with your direct manager and/or direct reports.

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