Job Description
NOTICE- Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Job will be a week onsite/month Must have linked in W2 only No corps please Must Have's: Python and SQL experience; AWS framework Experience with Deep Learning applications like TensorFlow, PyTorch or Caffe Intelligence machine learning models Nice to Have's: Financial Domain knowledge Tableau, PowerBI Strong communication
The Expertise We’re Looking For
Minimum Master’s degree in engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields 5+ years of prior work experience as a data scientist Proficiency in the entire Predictive Modeling life cycle – From exploratory data analysis to data cleaning to Feature Engineering to Model Building and Validation, Operationalization and Scalability of scientific techniques and establishing decision strategies. Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, NLP, feature selection/reduction, clustering, parameter tuning, etc.) Experience in projects involving large scale, multi-dimensional databases, complex business infrastructure, and multi-functional teams. Two to four successfully launched ML projects would be ideal. Programming skills in Python, SQL and experience using AWS framework is must Exposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is preferred. Experience in the financial domain and familiarity with financial models are highly desirable along with the ability to partner closely with a diverse set of business collaborators to identify needs and deliver AI/ML solutions. Experience in communicating analysis in a clear, concise, and actionable manor to both technical and non-technical partners Experience with Tableau, Power BI or other data visualization tools are desirable Thanks Renu Goel 857-207-2676 [email protected]