Direct message the job poster from Vallum Associates
Location: Hybrid – London/Sheffield (2days/week Onsite)
Duration: 6months+
Responsibilities:
• Carrying out 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.
• Data mining or extracting usable data from valuable data sources.
• Using machine learning tools to select features, create and optimize classifiers
Qualifications:
• Programming Skills – knowledge of statistical programming languages like python, and database query languages like SQL, Hive/Hadoop, Pig is desirable. Familiarity with Scala and java is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Machine Learning – good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with Data Visualization Tools like Splunk , PowerBi that help to visually encode data
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