Machine Learning engineer

at Dice
Published November 17, 2022
Location Phoenix, United States of America
Category Machine Learning  
Job Type Full-time  


Dice is the leading career destination for tech experts at every stage of their careers. Our client, Atos Syntel Inc., is seeking the following. Apply via Dice today!

Job details :

Role : Machine learning /Data Scientist

Type : Fulltime

Location: Phoenix, Arizona, United States

Job Description :

  • 7+ years of Machine learning and data Science experience PySpark and Cloud Technologies .
  • Position involves building predictive models, pattern recognition, natural language processing, and a creative application of theory to create useful algorithms.
  • Position requires an advanced degree (Masters or PhD) in data science, computer science, or an equivalent quantitative field as well as 2-5 years of experience in data analytics.
  • Strong/Expert level experience in Python
  • Strong problem solving, quantitative and analytical abilities.
  • Experience in monitoring, managing, manipulating and drawing insights from data.
  • Experience using machine learning algorithms, data analytics strong algorithmic thinking and good programming skills will be useful.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Experience working in areas such as data warehousing, databases, data visualization, statistics, data analysis, A/B Experiments, reporting, basic machine learning and modeling.
  • Knowledge of statistical modeling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.
  • Working on unstructured data with Advanced NLP embeddings (BERT,Trasnformers etc)
  • Expertise in deriving insights from large amounts of data is mandatory
  • Ability to work with large data sets and to interpret them statistically is expected.
  • Experience working with and creating databases and dashboards using all relevant data to inform decisions.
  • Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
  • Strong communication skills (verbal and written)

- provided by Dice