Location
Indore | India
Job description
iMentus is a fast-growing technology services company based in Indore, India. We are serving more than 30 global clients majorly in America and Europe geography. We're a progressive, start-up-turned-scale-up building the finance ecosystem of the future, backed by the power and scale of Blockchain technology, and we're looking to bring in a cutting-edge Data Scientist to join our Team. If you're looking for a role with a young company that's building products to empower the next generation of creatives, then we want to hear from you! Your soft skills are also important to us. We value team players who're willing to take ownership and accountability for their work, display empathy in the creative process, apply critical thinking to ideation, and possess the patience and perseverance to see a project or product feature through from conceptualization to delivery. For any queries please reach out to [HIDDEN TEXT] or visit our website imentus.com
Responsibilities :
- 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
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.
- 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.
- Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
- Excellent Communication Skills
- Strong Software Engineering Background
- Hands-on experience with data science tools
- Problem-solving aptitude
Qualifications
- Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 1 - 2 years' of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C,C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Job tags
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