Job Details
Skills And Tools:
Job Description
Senior Data Scientist job description:
The qualified caliber will be responsible for collecting a large amounts of data using analytical, statistical, and programmable skills. It is their responsibility to use data to develop solutions tailored to meet the company's unique needs, will also be involved in fetching information from various sources and analyzing it to get a clear understanding of the overall organizational performance, using statistical and analytical methods plus AI tools to automate specific processes within the operational cycle and develop smart solutions to business challenges. After interpreting the data, they present the results in a clear and interesting way. The objective is to help the BOD & LT to analyze trends in order to make better decisions, using business sense and communication skills to influence how the organization tackles business challenges.
Duties & responsibilities include:
- Data mining or extracting usable data from valuable data sources
- Using machine learning tools to select features, create and optimize classifiers
- 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
- Collaborate with Business and IT teams
Job Requirements
Key skills & Qualifications:
- Ability to combine practical skills like coding and math with the ability for statistical analysis to achieve results.
- Good command of technical, analytical, and communication skills.
- 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.
- 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 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 matplotlib, ggplot, d3.js., Tableau that help to visually encode data
- Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
- Strong Software Engineering Background
- Hands-on experience with data science tools
- Problem-solving aptitude
- Analytical mind and great business sense
- Degree in Computer Science, Engineering or relevant field is preferred
- Proven Experience as Data Analyst or Data Scientist
Experience & Educational Background:
- Has a certificate in Data Science or Business Analytics
- Min experience of 5 years
