What are the responsibilities and job description for the Data Scientist position at Jobs via Dice?
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Data Scientist
Introduction:
Expeed Software is seeking candidates with mathematical and statistical expertise, along with natural curiosity and a creative mind. The Data Scientist will be responsible for mining, interpreting, and cleaning data to uncover hidden opportunities for realizing the data’s full potential. As part of a team of data analysts and engineers, the Data Scientist will utilize various methods to "slice and dice" data and create new visions for the future.
Responsibilities:
Data Scientist
Introduction:
Expeed Software is seeking candidates with mathematical and statistical expertise, along with natural curiosity and a creative mind. The Data Scientist will be responsible for mining, interpreting, and cleaning data to uncover hidden opportunities for realizing the data’s full potential. As part of a team of data analysts and engineers, the Data Scientist will utilize various methods to "slice and dice" data and create new visions for the future.
Responsibilities:
- Great storyteller
- Data mining or extracting usable data from valuable sources
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out preprocessing of structured and unstructured data
- Enhancing data collection procedures for developing analytic systems
- Processing, cleansing, and validating data integrity for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results clearly
- Proposing solutions and strategies to tackle business challenges
- Collaborating with Business and IT teams
- Building actionable data visualizations for identifying opportunities
- Bachelor’s Degree in Information Systems and 5 years of data and analytics experience
- Databricks experience is a Must
- Programming Skills in R, Python, SQL, Hive, Pig (Scala, Java, or C is a plus)
- Good applied statistical skills
- Knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests
- Strong Math Skills (Multivariable Calculus and Linear Algebra)
- Data Wrangling proficiency
- Experience with Data Visualization Tools like matplotlib, ggplot, d3.js, Power BI, Tableau
- Excellent Communication Skills
- Strong Software Engineering Background
- Hands-on experience with data science tools
- Problem-solving aptitude
- Analytical mind and great business sense