Senior Data Scientist (work from office)

15 May 2024

Vacancy expired!

Position:

Senior Data ScientistLocation: Dallas,TXExperience – 10 to 15 years Duration: 6+Months

Work from office from day one

Job Description:

Senior Data Scientist

Role:
  • Build strong working relationships with key business stakeholders in order to identify technical solutions to solve complex business problems.
  • Define the data science roadmap and own end to end project development, delivery and implementation.
  • Develop exploratory proof of concept machine learning models following an agile test and learn approach.
  • Work closely with our data engineers to enhance our model deployment architecture.
  • Be an expert in the field of data science to mentor and support junior team members.
  • Continue to develop our data science capabilities through technical research, collaboration with subject matter experts (both internal and external) and new data source identification.
Key Skills:
  • Experience in Machine Learning, supervised and unsupervised: - Forecasting,
Classification, Regression, Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Gradient algorithms etc
  • Exposure to Neural Networks/Deep Learning Algorithms
  • Good understanding of basic statical techniques QC tools, ANOVA, Hypothesis, Chi Square tests
  • Experience in creating simple web pages using HTML/ASP.Net
  • Should have owned at least one ML model's complete life cycle in production. Should have analyzed the performance of this deployed model and deduced prescriptive ML / business actions
  • Experience with programming languages like Python, analytical packages/libraries like Pandas, Scikit-learn, Seaborn, matplotlib, numpy etc)
  • Experience with R language desirable
  • Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
  • Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.
  • Using innovative ideas to collect, curate or synthesize data
  • Familiarity with machine learning frameworks (like Keras or TensorFlow)
  • Fair knowledge on any RDBMS (MySQL / Oracle /MS SQL)
  • Benchmark, validate and test the solution for real-world environments
  • Optimize the solution for accuracy and performance
  • Experience developing with AI cloud platforms and services (Google cloud, AWS, Azure) is desirable
  • Must be a self-starter with the ability to manage their own work.
  • Demonstrated history of successful ML projects
Experience: 8 to 10 years of relevant experience Qualifications:Bachelor's / master’s in data science with 8 year’s experience OR in Statistics/Mathematics with minimum 10 relevant years of experience