Job Description
You will be primarily responsible for the design, development, and operationalization of data science applications. Lead discovery processes with the client to identify the value objectives and the technical business requirements. He/she will work closely with the client, data science and cross-functional teams to develop and execute to fulfill customer requirements.
MINIMUM QUALIFICATIONS AND REQUIREMENTS: - Bachelor's Degree in a technology or technical related field (e.g., Computer Science, Industrial Engineering, Applied Math/Statistics). Post-graduation preferred
- 7+ years of analytics/data science experience
- 5+years of hands-on experience in using Business Intelligence tools such as SAS for analytical modeling and data management (or) 5+ years of experience in programming languages: R, SQL, Python, SAS in developing analytical solutions and data processing.
- Knowledge of Cloud technologies like GCP, AWS, Azure is preferred
- Strong understanding gained through experience in advanced analytics (forecasting, data mining, optimization, and reporting) techniques
- Knowledge in Machine Learning Concepts around NLP/Information retrieval / Recommendation systems is preferred
- Demonstrated experience in effectively communicating with senior leaders and executives
- Exceptional organizational, analytical and problem-solving skills
- Excellent leadership, communication, and presentation skills both written and oral
- Able to work effectively in global teams and willing to travel to global client locations
- In-depth domain knowledge in either of retail, manufacturing, financial services or telecom preferred to engage with enterprise-level clients/customers
- Possesses a unique blend of business and technical savvy: a big-picture view, and technical credibility to define enterprise-class solutions
- Track record of ownership and delivery of large, complicated projects on time and within the scope
- Certifications such as Python, SAS, GCP preferred and willingness to learn new technologies including cloud platforms
- We highly value experience in contributions to data science blogs, white papers in Data Science forums
PRINCIPAL DUTIES AND RESPONSIBILITIES: - Lead data science projects from conceptualization through launch: project discovery phase through requirement gathering, design and implement analytical solutions to address key client business problem and deliver value using SAS / R / Python
- Develop implementation guidelines, process enhancement, quality control procedures, coding best practices and documentation for projects
- Manage and inspire associates and developers towards seamless execution and successful project delivery
- Manage different analytical work-streams including reporting, visualization, automation, data science methods, and machine learning techniques
- Cultivate a deep understanding of the customer and work together to provide an enriching experience
- Write tech blogs, white papers in the field of Data Science and guide the associates
- Take lead in proposing and implementing Data Science practice initiatives
SKILLS: - Programming Skills - SAS, Python, SQL, R
- Analytics - Forecasting, Optimization, Customer Analytics, Machine Learning, Deep Learning
- Data Visualization - Tableau, SAS Visual Analytics, Google Data Studio
- Problem Solving Skills
- Project Management
- Presentation Skills
- Stakeholder Management
Job Classification
Industry: IT-Software, Software Services
Functional Area: IT Software - Application Programming, Maintenance,
Role Category: Programming & Design
Role: Programming & Design
Employement Type: Full time
Education
Under Graduation: Graduation Not Required, Any Graduate in Any Specialization
Post Graduation: Post Graduation Not Required, Any Postgraduate in Any Specialization
Doctorate: Doctorate Not Required, Any Doctorate in Any Specialization
Contact Details:
Company: CoreCompete
Address: 5th Floor, Ramky Grandiose, Gachibowli,, Hyderabad Telangana, Hyderabad, Telangana - 500032,India
Location(s): Pune
Website: https://www.corecompete.com
Keyskills:
python
tensorflow
nlp
data science
SAS
regression analysis
statistical analysis
sql
statistics