About Us
“Quess IT Staffing is India’s largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills. Our associates help enable cutting edge solutions some of the biggest names across industried. Quess IT Staffing is a division of Quess Corp Limited, India’s leading business services provider and largest domestic private sector employer. Quess Corp Limited is - ‘A Great Place to Work’ certified – a testament to our excellent culture, people, and processes.”
About Company
https://itstaffing.quesscorp.com/
Roles and Responsibility
Assistant Manager Data Scientist Business Systems
Job Summary:
- This team supports the Government & Public Services (GPS) Practice. The team is responsible for designing and driving different solutions for different teams at different levels. With a focus on innovation, we continuously seek ways to enhance and optimize existing deliverables and create new solutions. The team is uniquely positioned in practice to identify and implement next-generation solutions. Professionals in this process are responsible for assessment, design, development, testing, enhancement, implementation, maintenance, documentation, and support of new or existing tools and applications. The team drives the implementation of end-to-end solutions and analysis that provide our clients and leadership with the consumable information and insight they need to drive better business decisions, and address challenges.
- Project Management: professional must work on translating business needs to technical requirements. Depend on the need individual must involve in the monitoring or management of technology projects using standard project management techniques. Includes creating project estimates, reporting, resource, and capacity planning.
Responsibility ?
- Experience in programming languages, including but not limited to Python, R, Dataiku, SQL, AI and ML
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Develop and drive complex projects using Advanced analytic techniques. Translate conceptual questions into data-driven analyses to allow leaders to make informed decisions
- Liaison with on-site and client teams to understand various business problem statements analytical requirements
- Drive for value proposition with best in class industry practices & latest algorithms
- Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices.
- Candidates must have experience in developing Machine learning models.
- In-depth knowledge of machine learning, deep-learning processing techniques.
- Develop AI/ML solutions/applications leveraging the latest industry and academic advancements.
- Experience with data cleansing, feature creation, feature selection, and value imputation.
- Broad experience building different types of advanced analytic solutions, including some of the following: time series analysis, cluster analysis, tree-based algorithms, generalized linear models, or neural networks.
- Leverage a broad stack of technologies ? Python, Conda, AWS, H2O, Spark, and more ? to reveal the insights hidden within huge volumes of numeric and textual data
- Develop Predictive analytics solutions on the different types of financial information
- Support Finance and Firm leadership with ad-hoc specialized analyses and provide support for leadership and management meetings
- Develop and operationalize reporting to measure the impact of implemented changes
- Lead efforts to optimize our business operations
- Drive large scale, complex cross-functional initiatives in support of the senior leadership key strategic priorities
- Identify key indicators of economic shifts, business and/or policy changes and prepare situational playbooks to allow leaders to focus on mission-critical decisions
- Excellent communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels.
- Exercise sound judgment to diagnose and resolve problems within an area of expertise.
Qualifications:
Required/Preferred:
- Degree in Statistics, Applied Mathematics, Computer Science or other technical disciplines
- 6 -10 years of relevant experience in a Data Science
- Effective communication skills, both written and verbal; ability to ?tell the story? and develop executive-level presentations with guidance
- Demonstrated ability to work effectively and collaboratively with teams
- Experience in descriptive & predictive analytics
- Experience in programming languages, including but not limited to Python, R, Dataiku, SQL, Advanced MS office skills, AI and ML
- Strong understanding of statistical analysis, predictive modeling, and data engineering techniques
- Ability to develop analytical approaches to answer high-level questions and develop insightful recommendations
- A client-service mindset and a desire to take on tough and challenging projects. The scope and variety of work will change frequently depending on the current project portfolioAn understanding of finance and financial analysis is preferred
- Working knowledge on the financial information
- Languages & Tools: Good to have not mandatory Alteryx, Dataiku, Cognos Business Intelligence & OLAP: Oracle BI: OBIEE, Oracle Analytics, Cloud (OAC), Oracle Report Builder (ORB); ETL: Matillion, Talend, TOAD, SQL Plus, SQL Navigator, SQL, Loader, OWB, ERwin, Decision Stream, MS Visual Studio; MS Office/Office 365, SharePoint; Crystal Reports; IBM Visual Age for Java, IBM WebSphere Application Server/Studio, Languages
- Work timings: 2 p.m. ? 11 p.m.
V 0.0.1