Senior Data Scientist
About Value Chain Factory
At Value Chain Factory, we foster a vibrant and inclusive culture where creativity thrives. Our team is driven by collaboration, innovation, and a shared passion for excellence. We believe in empowering our employees to take initiative and contribute their unique perspectives. With flexible work arrangements, ongoing professional development, and a commitment to work-life balance, we create an environment where everyone can grow and succeed together. Join us and be part of a community that values diversity, encourages open communication, and celebrates achievements!
Value Chain Factory is committed to fostering diversity and inclusion within its workforce. We encourage all candidates, irrespective of gender, nationality, religious and ethnic backgrounds, including persons living with disabilities, to apply to become a part of the organization.
About the Job
You will be a pivotal member, reporting to Head of Engineering. You will be responsible for applying data mining techniques, doing statistical analysis, building high quality prediction algorithms, developing analytical reports and devising analytical solutions to use cases and data science problems.
Job Description
● 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
Competencies
● 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, d3.js., Tableau.
● Excellent Communication skills.
● Strong Software Engineering Background
● Hands-on experience with data science tools
● Problem-solving aptitude
● Analytical mind and great business acumen.