25 Oct
Data Automation
Vacancy expired!
- Work independently, or as part of a team, to design and develop Advanced Analytics solutions using machine learning algorithms and data visualization techniques.
- Closely working with Executives, Senior Managers, and coordinate with Client, cross-functional team to understand the business objectives and deliver as per the business needs.
- Team player in an agile work environment to drive data model implementations and algorithms into practice.
- Responsible for defining and documenting architecture, capturing and documenting architectural requirements, preparing estimates and defining technical solutions to proposals (RFPs).
- Solving complex problems involving multiple data sets, as well as optimizing existing machine learning libraries and frameworks
- Migration of existing ML models from one platform/language to another based on requirements.
- Running tests, performing statistical analysis, and interpreting test results and documenting machine learning processes.
- Keeping up-to-date in developments in data science specifically machine learning, NLP and data visualization
- Playing a key role in mentoring for Data Science Learning path, Project guidance & support and play the role of a CoC leader.
- Contribute to Branding, Client value, Collaboration through design thinking and Agile practices
- Expertise and experience on statistical data analysis such as transforming business requirements into Analytical models, Designing Algorithms, Predictive modelling, and Strategic solutions that scales across massive volumes of data
- Experience in Text Analytics, developing different statistical machine learning models, new forecasting models, and data mining solutions to various business problem.
- Strong experience in Text Mining of cleaning and manipulating text and finding sentiment analysis from text mining data.
- Experience in foundational machine learning models and concepts: regression, random forest, classification, clustering, boosting, stacking, blending, GBM, PCA, LDA, SVD, NNs, HMMs, CRFs, MRFs, deep learning algorithms like RNN, autoencoders.
- Interpret problems and provides solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics.
- Possessing an extensive analytical skill, strong attention to detail, and a significant ability to work in team environments.
- Good industry knowledge, analytical and problem - solving skills and ability to work well within a team as well as an individual.
- Highly creative, innovative, committed, intellectually curious with effective communication and interpersonal skills
- Demonstrated history of delivering optimal business results via innovative analytics-based technology solutions. Proven leadership abilities to build strong teams and establish relations.
- Adept in performing operation analysis, defect prevention, data analysis, root cause analysis, and quality audits.
- Experience in building data pipelines, ETL, data cleaning, data wrangling and feature engineering techniques.
- Solid data science knowledge and experience in a consulting with customer managers to determine and refine machine learning objectives
- Implement, customize and fine-tune algorithms based on published papers shared by customer.
Vacancy expired!