Data Scientist

N2IA Technologies

$110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related technical field.
  • 5+ years of experience in data science, analytics, statistical analysis, or machine learning.
  • Proficient in Python and SQL for data analysis and automation.
  • Experience with statistical modeling and predictive analytics.
  • Skilled with data visualization tools like Power BI or Tableau.
  • Strong problem-solving and analytical abilities.
  • Excellent communication skills for conveying technical insights to diverse audiences.
  • U.S. Citizenship required.

Responsibilities

  • Analyze large, complex datasets to extract trends and actionable insights.
  • Develop and evaluate statistical, predictive, and machine-learning models.
  • Clean, transform, validate, and prepare data for analysis.
  • Utilize Python, SQL, and other analytics tools to automate processes.
  • Create dashboards and visualizations to effectively communicate findings.
  • Collaborate with data engineers, analysts, and government stakeholders.
  • Apply statistical and machine-learning techniques to address operational challenges.
  • Document analytical methodologies and performance metrics.

Benefits

  • Opportunity to work on impactful projects within a collaborative team environment.
  • Engagement with both technical and non-technical stakeholders to influence decision-making.
  • Professional development opportunities in advanced data analytics and machine learning.
  • Flexible work environment promoting work-life balance.
  • Access to leading data analytics tools and technologies.
Full Job Description
Data Scientist
Position Overview

N2IA Technologies is seeking a Data Scientist with advanced data analytics, statistical modeling, machine learning, and data-driven decision-making. The successful candidate will analyze complex datasets, develop predictive and analytical models, identify trends and patterns, and translate findings into actionable insights for technical and non-technical stakeholders.
Key Responsibilities
  • Analyze large and complex datasets to identify trends, patterns, relationships, and actionable insights.
  • Develop and evaluate statistical, predictive, and machine-learning models.
  • Clean, transform, validate, and prepare structured and unstructured data for analysis.
  • Use Python, SQL, and related analytics tools to perform data analysis and automate analytical processes.
  • Develop dashboards, visualizations, reports, and analytical products to communicate findings.
  • Collaborate with data engineers, software developers, analysts, and government stakeholders.
  • Apply statistical and machine-learning techniques to solve operational and mission-related challenges.
  • Document methodologies, assumptions, data sources, model performance, and analytical conclusions.
Required Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related technical field.
  • 5+ years of relevant experience in data science, advanced analytics, statistical analysis, machine learning, or a related field.
  • Strong experience with Python and SQL.
  • Experience with statistical modeling, predictive analytics, and machine-learning techniques.
  • Experience working with large and complex datasets.
  • Experience with data visualization and business-intelligence tools such as Power BI, Tableau, or similar platforms.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to communicate technical findings to both technical and non-technical stakeholders.
  • U.S. Citizenship.

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