Neonsoft - Barrington, IL

posted 2 months ago

Full-time - Senior
Barrington, IL

About the position

As a Senior Data Scientist or BI Analyst at NEONSOFT INC, you will play a pivotal role in leveraging data science to enhance decision-making processes within the organization. Your primary responsibility will be to develop action plans that mitigate risks while increasing the probability of successful outcomes through data-driven insights. You will collaborate closely with managers across various departments to ensure active cooperation in identifying and defining analytical needs, ultimately driving the integration of insights into business strategies. In this role, you will be tasked with building predictive models utilizing a variety of machine learning tools to forecast potential failures. This will involve developing sophisticated algorithms that incorporate Natural Language Processing and Deep Learning techniques to predict failures effectively. You will also be responsible for identifying valuable data sources and automating the data collection processes, ensuring that the data used for analysis is both relevant and timely. Your work will include pre-processing both structured and unstructured data, employing data visualization techniques to present findings in a clear and impactful manner. You will conduct thorough business analyses to understand the needs and requirements of the business, translating these into conceptual designs that can be implemented. Engaging in quantitative analysis of modeling will be essential to address various business issues, ensuring that your insights lead to actionable strategies that drive the company forward.

Responsibilities

  • Develop action plans to mitigate risks in decision making while increasing probability by leveraging data science.
  • Drive interaction and partnership between managers to identify and define analytical needs.
  • Generate pull-through of insights with the business.
  • Build predictive models using various machine learning tools to predict the possibility of failure.
  • Develop algorithms using Natural Language Processing and Deep Learning models for predictive failures.
  • Identify valuable data sources and automate collection processes.
  • Undertake pre-processing of structured and unstructured data.
  • Display information using data visualization techniques.
  • Conduct business analysis to understand business needs and requirements and translate them into conceptual designs.
  • Engage in quantitative analysis of modeling to address business issues.

Requirements

  • Proven experience in data science or business intelligence analysis.
  • Strong knowledge of machine learning techniques and tools.
  • Experience with Natural Language Processing and Deep Learning models.
  • Proficiency in programming languages such as Python and JavaScript.
  • Familiarity with data visualization tools like PowerBI and Tableau.
  • Experience with cloud platforms such as Azure and AWS.
  • Knowledge of big data technologies like Hadoop and Spark.
  • Ability to preprocess and analyze both structured and unstructured data.
  • Strong analytical and problem-solving skills.

Nice-to-haves

  • Experience with Neo4J for graph database management.
  • Familiarity with SQL Server and Oracle databases.
  • Knowledge of data collection automation techniques.
  • Experience with JIRA for project management.
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