Company Overview
lncedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science & healthcare industries.
Working at lncedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. lncedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by
- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology
Role Description
Perform research, applying the latest methods, algorithms to solve a given problem. Identify business problems or management objectives that can be addressed through data analysis. Identify relationships and trends or any factors that could affect the results of research. Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques. Develop and implement Artificial Intelligence and Machine Learning algorithms such as Linear Regressions, Logistic Regression, Decision Tree, SVM, Random Forests, Clustering, KNN, Neural Networks, Bagging and Boosting, Recommendation systems etc. Apply feature selection algorithms to models predicting outcomes of interest. Clean and manipulate raw data using statistical software such as Python. Apply sampling techniques to get a more accurate result from a predictive ML algorithm. Analyze data to identify trends or relationships among variables. Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields. Determine appropriate methods for data analysis. Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. Develop scientific or mathematical models. Prepare analytical reports. Coordinate and communicate with client leadership teams to ensure timely completion of project task, ensure high quality deliverables and plan for work allocation. Think of possible risks in the projects and action plan to mitigate the same. Build POCs for data projects to navigate decisions for product enhancements. Think of computationally efficient and business effective analytical solutions. Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. Identify business problems or management objectives that can be addressed through data analysis. Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis. Advise others on analytical techniques. Present research results to others.
Benefits
$136,372.00 Medical/DentalNision/Life, HSA/FSA, AD&D/STD/LTD, PTO, Technical Certifications, International Mobility, Employee Assistance, Anniversary Bonus.
Requirements:
Requires a Master’s degree in Data Science, Computer Science, Information Technology, Engineering, Computer Information Systems or related. Duties entail work with Python, SQL and JupyterLab. Email resumes to usjobs@incedoinc.com
Company Value
We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.