TITLE: Data Scientist
LOCATION: Herndon, VA (Hybrid)
Analysis
- Experience with writing SQL queries, performing basic conversion and transformations (e.g., formatting date string), and obtaining statistical summaries by using windowing functions.
- Experience with usage of R/RStudio, Python, Jupyter Notebook
- Experience with version control tool like Git
- Strong experience with Excel and PowerPoint to present results
- Ability to write scripts to automate ETL tasks
- Experience in AI / Deep Learning for text/image/video analytics preferred
- Experience in Cloud Computing and data streaming preferred
- Experience using machine learning, artificial intelligence and tools for deep learning algorithms / neural networks like TensorFlow and Pytorch.
Problem Solving
- Ability to run standard model algorithms in R and Python, to perform; classification/regression, clustering, basic text analytics, image recognition, etc. E.g., run a classification problem using random forest, and obtain the variable importance, produce performance metrics/KPIs; run a k-means clustering problem, produce a KPI to quantify the goodness of clusters
- Demonstrated skills in selecting the right statistical tools given a data analysis problem
- Experience with charting tools & knowledge of the proper charting tool to use, whether Excel or Tableau. For instance, when to use box-and-whiskers plot, when to use waterfall. Ability to zoom-in to smaller data sets in Tableau or display subcategories
- Capable of running multiple scenarios and pick up the optimal solution
- Capable of understanding advanced mathematical or physical explanations, to implement or execute the requested tasks. E.g., Fourier Transform, Power Spectral Density, Monte Carlo simulation, etc.
- Actively participates and contributes in brain-storming session. Can work seamlessly with people from other disciplines: IT engineers, client SMEs, business consultants
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations
Team & Business Skills
- Consistently improves communication skills, both verbally and in written materials
- Demonstrated ability to follow guidance and build on top of direction given
- Demonstrated willingness to both teach others and learn new techniques.
- Mindful of iterations and quality check in a smaller team, before presenting results to larger audience
Qualifications :
Education
Master's or bachelor's degree in a quantitative discipline (e.g., statistics, computer science, economics, mathematics, physics, electrical engineering, industrial engineering or other STEM fields)
Work Experience
2-3 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / data engineer).
For more information about the company please visit our website at https://evolve24.com/