CTC · 15 hours ago
Data Scientist
CTC is seeking a Data Scientist to collaborate with business and analytics leaders to generate insights and answer business questions using advanced analytics techniques. The role involves performing statistical analysis, creating algorithms for data management, and supporting the identification of data sources for analysis.
Responsibilities
Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business
Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner
Supports the communication of derived insights, especially through appropriate visualization techniques
Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data
Stays abreast of the latest appropriate analytical techniques and recommends these where needed
Explains implementation and usage in business terms
Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business
Qualification
Required
Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning
Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information
Validates findings using experimental and iterative approaches
This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models
Output is reviewed by higher-level Data Scientists or Analytics Manager for execution
Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business
Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner
Supports the communication of derived insights, especially through appropriate visualization techniques
Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data
Stays abreast of the latest appropriate analytical techniques and recommends these where needed
Explains implementation and usage in business terms
Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business
Quantitative analytical skills
Knowledge of appropriate industry
Good interpersonal, negotiation and conflict resolution skills
Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation
Business process knowledge of assigned area(s) and/or function(s)
Knowledge of advanced data gathering and analysis techniques, including statistical analysis
Degree in a Math discipline or equivalent experience
University Degree (4 years or equivalent) in Economics
University Degree (4 years or equivalent) in Statistics
Internal or external industry specific experience in relevant discipline. (1 - 3 years)
Data analytics experience. (1 - 3 years)
Background or proven experience in mining data for analytics insights. (1 - 3 years)
Good exposure to enterprise statistical tools like SAS, Statistica, SPSS or SAS E Miner (1 - 3 years)
Company
CTC
Founded in 1996, CTC is a global IT services, Consulting and Business Solutions partner dedicated to helping organizations innovate, optimize, and grow.
H1B Sponsorship
CTC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (7)
2023 (12)
2022 (8)
2021 (16)
2020 (40)
Funding
Current Stage
Late StageRecent News
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