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Job Location: Hyderābād
Position Description:
Works independently under limited supervision and applies knowledge of subject matter in Applications Development. Possess sufficient knowledge and skills to effectively deal with issues, challenges within field of specialization to develop simple applications solutions. Second level professional with direct impact on results and outcome.
Your future duties and responsibilities:
- Serve as an expert in translating complex data into key strategy insights and valuable actions.
- Discover business narratives told by the data and present them to other scientists, business stakeholders, and managers at various levels.
- Develop and test heuristics.
- Create and run statistic/ML models.
- Perform data exploration and data mining.
- Create business intelligence, dashboards, visualizations, and/or other advanced analytics reports to adequately tell the business narrative and offer recommendations that are practiced, actionable, and have material impact, in addition to being well-supported by analytical models and data.
Required qualifications to be successful in this role
Clearly identify the essential qualification vs the desired qualifications. What skills/experience must this person have to be considered? Do not include any “CLIENT IDENTIFIERS” such as client name, client proprietary system/technology or client confidential information.
- Work experience in addition to degree: 3 – 5 years of data engineering/science related activities with overall 6+ years’ experience.
- Graduation from a four-year college or university with a degree in statistics, physics, mathematics, engineering, computer science, or management of information systems.
- Expert knowledge of SAS, Python, Machine Learning Methods, Approaches, Keras, H20, Pandas, NumPy
- Working knowledge of statistics, programming and predictive modeling.
- Working knowledge of code writing
- Big Data/Hadoop/NoSQL and experience with large datasets
Required qualifications to be successful in this role:
- Work experience in addition to degree: 3 – 5 years of data engineering/science related activities with overall 6+ years’ experience.
- Graduation from a four-year college or university with a degree in statistics, physics, mathematics, engineering, computer science, or management of information systems.
- Expert knowledge of SAS, Python, Machine Learning Methods, Approaches, Keras, H20, Pandas, NumPy
- Working knowledge of statistics, programming and predictive modeling.
- Working knowledge of code writing
- Big Data/Hadoop/NoSQL and experience with large datasets
Skills:
- Keras
- NumPy
- Pandas
- Python
What you can expect from us:
Build your career with us.
It is an extraordinary time to be in business. As digital transformation continues to accelerate, CGI is at the center of this change—supporting our clients’ digital journeys and offering our professionals exciting career opportunities.
At CGI, our success comes from the talent and commitment of our professionals. As one team, we share the challenges and rewards that come from growing our company, which reinforces our culture of ownership. All of our professionals benefit from the value we collectively create.
Be part of building one of the largest independent technology and business services firms in the world.
Learn more about CGI at www.cgi.com.
No unsolicited agency referrals please.
CGI is an equal opportunity employer.
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