Data Scientist

Saviance

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in Computer Science, Statistics, Physics, or related Engineering field.
  • Experience in the Marketing Domain.
  • Strong client-facing skills to explain complex ideas.
  • Experience with rapid A/B testing using AI.
  • Proficiency in Machine Learning, Signal Processing, Statistical Modeling, or Time-Series Analysis.
  • Strong working knowledge of Python.
  • Familiarity with both relational and non-relational databases.

Responsibilities

  • Design and deploy Machine Learning algorithms for advanced analytics.
  • Conduct exploratory data analyses on complex datasets.
  • Visualize multivariate data for actionable insights.
  • Implement rapid A/B testing strategies with AI.
  • Collaborate with data scientists, architects, and engineers to refine models.

Benefits

  • Opportunity to work on cutting-edge applications of Machine Learning.
  • Engage with a team of high-caliber professionals.
  • Work on real-world noisy datasets and NLP-based models.
Full Job Description
About the job

Do you view the science of Machine Learning as a passion instead of just a job? If so, join our team of talented, high-caliber Data Scientists, Architects, and Engineers and work on the cutting-edge applications of Machine Learning. You will use your excellent knowledge of data structures, algorithms, and modern OOP, and your solid understanding of modern statistical data analysis techniques (such as Bayesian inference, Hidden Markov, and MCMC) to work on a myriad of real-world noisy datasets and NLP-based topic modeling and topic coherence.

You have:
• n MS or PhD in Computer Science, Statistics, Physics, or any related Engineering field.
Experience working in the Marketing Domain.
• Strong client facing experience- you can explain highly complex ideas to various audiences.
Rapid A/B testing using AI
• Excellent knowledge of one or more of the following: Machine Learning, Signal Processing, Statistical Modeling, Time-Series Analysis, Optimization.
Strong working knowledge of Python.
• Familiarity with Relational and Non-Relational databases (NoSQL).
• Familiarity with cloud computing and big data technologies (Hadoop, Hive, Spark, Tensorflow,etc).

Your Experience:
• Designed, built, and deployed Machine Learning algorithms for advanced analytics.
• Performed exploratory data analyses and visualizations on multivariate data sets.
• Worked with one of the well-known neural network libraries such as TensorFlow, Theano, or Caffe.

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