
Senior Data Scientist
2 weeks ago
- Data mining or extracting usable data from valuable data sources.
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out the preprocessing of structured and unstructured data
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results in a clear manner
- Propose solutions and strategies to tackle business challenges
- Collaborate with Business and IT teams
- Degree in Computer Science, Engineering or relevant field is preferred.
- Proven Experience as Data Analyst or Data Scientist
- Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
- Excellent applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
- Excellent knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
- Strong Math Skills - understanding the fundamentals of Multivariable Calculus and Linear Algebra.
- Data Wrangling – proficiency in handling imperfections in data.
- Experience with Data Visualization Tools like matplotlib, ggplot, , Tableau.
- Excellent Communication skills.
- Strong Software Engineering Background
- Hands-on experience with data science tools
- Problem-solving aptitude
- Analytical mind and great business acumen.
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