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Job Description

Senior data science engineer (Spec-Data Scientist) at Concurrent Technologies Corporation in a remote role, translates business problems into data science projects, builds models and dashboards, and conducts experiments to inform strategy.

Responsibilities

  • Partner with business leaders to surface high impact problems and convert them into data science and analysis initiatives.
  • Ingest, cleanse, and evaluate complex datasets from multiple sources to uncover trends and insights that guide strategic decisions.
  • Design, implement, and validate predictive models and machine learning solutions for forecasting, segmentation, and optimization tasks.
  • Create and maintain engaging dashboards and reports for both technical and non-technical stakeholders using BI tools.
  • Perform exploratory data analysis and statistical assessments to identify patterns, anomalies, and opportunities.
  • Develop clear visualizations and concise reports to communicate findings to diverse audiences.
  • Plan and run A/B tests and other experiments to quantify the impact of initiatives.
  • Collaborate with data engineers to build and enhance data pipelines ensuring data quality and accessibility.

Requirements

  • Bachelor's or Master's degree in statistics, mathematics, computer science, economics, or a related quantitative field.
  • 3 to 5 years of hands-on experience in a Data Scientist or Senior Data Analyst role.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and PySpark.
  • Solid understanding of statistical methods, data mining techniques, and machine learning algorithms (classification, regression, clustering, decision trees).
  • Excellent verbal and written communication with the ability to tell a compelling data-driven story.
  • Structured, analytical approach to solving complex problems with curiosity and rigor.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Experience with big data technologies (Spark, Hadoop).
  • Experience with data visualization and analysis tools (Tableau, Power BI, Matplotlib, R, SAS).
  • Experience with natural language processing or other text analysis techniques.
  • Knowledge of experimental design and causal inference methods.
  • Experience in research and development, government contracting, or regulated industry domains.

Technologies

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • SQL
  • PySpark
  • AWS
  • Azure
  • GCP
  • Spark
  • Hadoop
  • Tableau
  • Power BI
  • Matplotlib
  • R
  • SAS
  • NLP

Benefits

  • Collaborative, team oriented culture that emphasizes shared problem solving.
  • Opportunities to work with a diverse group of professionals tackling challenging initiatives.
  • Competitive salary and comprehensive benefits package.
  • Emphasis on maintaining a healthy work-life balance to support personal well-being.

Why CTC?

  • Teams that thrive on collaboration and teamwork to solve demanding problems.
  • Access to a diverse and skilled group of colleagues dedicated to delivering results.
  • Competitive compensation and benefits.
  • Recognition of the importance of balancing work with personal life commitments.

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