Data Automation

NLP, AWS comprehend, BPM, power apps, automation
Contract W2, Contract Independent, Contract Corp-To-Corp, 6 Months
Work from home available

Job Description

Roles & Responsibilities:

  • 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


Required Skills (Technical Competency):

  • 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.


Dice Id : 10101369
Position Id : 7103659
Originally Posted : 3 months ago
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