Data Scientist

Industry: Advertising
Company size: 11-50

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Job description

A fast-growing company that aids brands in scaling their marketing programs with easy deployable AI solutions, is looking for a Data Scientist. The candidate will work with various machine learning techniques and libraries to build data-driven solutions. The company has developed a platform that leverages the power of machine learning and high-level data to generate leads, spark sales, and drive ROI. This will be a full-time and long-term opportunity for the candidate to contribute to designing and developing systems that enable organizations to reach their ideal audience.


Job Responsibilities:

  • Understand business challenges and opportunities across industries for product/service improvements
  • Utilize analytics to devise strategic and tactical recommendations
  • Assist in data cleaning and wrangling, quantitative analysis, and data mining processes
  • Invest time to understand problems and identify trends and opportunities
  • Inform, influence, support, and execute product development and launches
  • Forecast and set product team goals, design and evaluation experimentations
  • Help to monitor key product metrics and reasons influencing changes in metrics
  • Develop and analyze dashboards and reports
  • Build key data sets to allow a more efficient operational and exploratory analysis
  • Evaluate and define metrics and strategize the development roadmap
  • Develop an understanding of ecosystems, user behaviors, and long-term trends
  • Identify possible levers capable of moving key metrics
  • Develop models of user behaviors and analysis or to power production systems
  • Influence product teams' operations using data-based recommendations
  • Provide updates about the state of business, experiment results, etc. to product teams
  • Implement the best practices to analytics and product teams

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a Data Scientist
  • Expertise in building data science and machine learning platforms
  • Thorough knowledge of working with languages like Python and SQL
  • Ability to work with cloud services like GCP or AWS 
  • Understanding Docker, Kubernetes, and Big Data technologies will be beneficial
  • Ability to work on Big Query 
  • Knowledge of general programming best practices
  • Thorough understanding of machine learning techniques like clustering, regression, decision tree learning, neural networks, and more, along with real-world benefits
  • Ability to deploy statistics and machine learning models
  • Familiarity with libraries like Pandas, Numpy/Scipy, Statsmodels, Scikit-learn, and Keras/Tensorflow
  • Process, clean, and verify the integrity of data used in analysis

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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