18 Mar
2023
Full-Time Senior Data Scientist – NLP – Warangal
Job Description
We are looking for people that are clever, inquisitive, and technically competent to join our cutting-edge data science team. We employ the finest and brightest and provide them with the chance to work on cutting-edge technology. In this job, you will be able to provide new ideas and solutions that will increase our capacity to target the correct audience, extract insights, and give superior measuring methods for marketing campaigns. To fuel your ideas, you’ll have access to our core data asset and machine learning infrastructure.
Job Title : Senior Data Scientist – NLP
Location : Warangal, Telangana, India
Salary : $ 43.03 per hour.
Company : Michael Page
Job Type : Full-Time
Qualifications:
- Discover and operationalize the data’s underlying structure and connections using supervised and unsupervised machine learning methods.
- Scripting languages (such as R or Python) and internal dashboards may all be used to do data analysis tasks. Make recommendations based on past customers’ purchasing habits and sales data. Do research.
- Has good time management abilities and can operate independently. Multitasks and prioritizes everyday work. Meets department and individual objectives on schedule and well.
- In order to take control of your own workflow, you must identify and implement high-impact initiatives, prioritize requests from third parties, and make sure that projects are completed on time so that the results may be put to good use.
- Finds and acts on opportunities for continuous improvement. Encourages smart risk-taking, trying out different ways of doing things, and organizational learning. Shows that he or she wants to change by what they do and say. Helps other people accept change when things are hard and uncertain.
- With a demonstrated ability to deliver business outcomes with database insights, adept at analyzing massive data sets to uncover possibilities for product and process improvement.
- Analyze and summarize the model findings. Making it easier to grasp the complexities of business documents Inquire about a wide range of possibilities. Procedures and exceptions considered inappropriate have been discovered. Predicts future issues with high accuracy based on existing trends. Studies data from both the financial and statistical realms.
- You’ll generate new product growth prospects and impact momentum in addition to delivering insights on Product & Tech operations. Critical thinking and SQL, R, Python, Tableau analysis must be balanced.
- Transforms current knowledge into performance-enhancing continuous improvement initiatives. Gathers and analyzes data or information on existing and prospective best practice trends. Inquires about concerns that are affecting the advancement of organizational and process difficulties.
- Closely collaborate with the development team to suggest data-driven solutions. Applying statistical and machine learning techniques to particular business challenges and data, Collaborate in a dynamic entrepreneurial company with numerous teams and clients in a fast-paced environment.
Skills:
- Computer Science PhD or Master’s degree in Computer Science, Statistics, Data Science, or a similar technical subject with five years of relevant work experience in the field.
- Natural Language Processing, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, Knowledge Graph, Causal Inference, and Experiment Design are among the quantitative domains in which you should be well-versed.
- After graduating from an accredited quantitative program, you’ll need at least two years of experience in a related position. Predictive modeling, exploratory data analysis, and machine learning abilities.
- Having worked with and analyzed large data sets in statistical computer languages (Python, R, etc.) It would be best if you had experience with D3.js, matplotlib, etc. Methods for machine learning like Random Forest, SVM, k-NN, Nave Bayes, and Gradient Boosting are good.
- The capacity to encourage or persuade people is a big aspect of the profession, which requires a substantial amount of diplomacy and trust. To be successful in this role, you’ll need to be able to work well with people on both the inside and outside of the organization. To do one’s job well, one must constantly engage in interactions that need extensive discussion of issues, the dissemination of information, and finding solutions across several departments and divisions.