Sr. Data Scientist
- Category: Et cetera
- Deadline: 06th November 20222022-11-06T00:00:00-0700
- New Jersey
Vacancy expired!
Hello,We at AgreeYa solutions are focused on hiring highly skilled professionals who are excited by the opportunity to make a true impact on their careers as well as on our clients' businesses. We power our clients’ success and drive our consultants’ career growth.We are seeking an experienced and outstanding
Sr. Data Scientist for one of our esteemed clients. Kindly have a look at the below JD and reach us with your updated resume. The job description is as follows: Role Title: Sr. Data ScientistLocation: Irving(TX) , Alpharetta(GA), Basking Ridge (NJ), Irvine (CA) (Hybrid Role)Must Have-- Customizing Forecasting for energy usage.
- Data Scientist
- Project end to end using complex Models
- Technical exp. Python, Coding, SQL
- Exp. Forecasting
- Optimization
- You are an accomplished data scientist, a recognized machine learning expert, and a thought leader in AI technology and business innovation.
- You are a master at analyzing big data.
- Bachelor’s degree with 10 or more years of relevant work experience as a Data Scientist practicing model development for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with four or more years of relevant experience as a data scientist or machine learning engineer.
- Hands-on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.
- Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
- Experience in data management and data analysis in a relational database, Hadoop and Spark.
- Experience with Cloud computing platform such as Google Cloud Platform or AWS Strong communication and interpersonal influencing skills.
- Excellent problem solving and critical thinking capabilities.
- Desired: A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science, with two or more years of experience in practicing machine learning and data science in business.
- Expertise in deep learning, NLP, reinforcement learning, recommender system, etc.
- Experience in leading large scale data science projects and delivering from end to end.
- Experience with building data pipelines, model framework and model deployment.