Data Scientist

Job Description

Kline, a global management consulting and market research firm, is looking for a Data Scientist. This data science professional will help interpret and draw inferences from the information hidden in vast amounts of data, both internal and external, to make more meaningful and insightful decisions that will enable the delivery of better products and services. This technologist should have a minimum of three (3) years of experience working in the data science field or 3 to 5 years of experience working in the analytics, modelling, visualization or other ancillary data science sub - field.

The ideal candidate will come from a services firm engaged in Business Intelligence/Market Research or Business/Management Consulting with a focus on Data Management, Knowledge Services, and Business Analytics .

This individual is expected to: use modern technology and state - of - the - art data mining & analysis techniques to conduct statistical and quantitative analyses and build high - quality prediction systems integrated with Kline s product and service portfolio, build and enhance predictive modelling data products via proprietary models, utilize machine learning to build competitive recommendation engines comparable to those employed by service firms, and guide and grow the data science team.

Candidates must have excellent English verbal and written communication skills .

• Data mining and analysis using state - of - the - art methods

• Building and optimizing classifiers using machine learning techniques

• Creating/maintaining automated anomaly detection systems and tracking their performance

• Enhancing data collection procedures to include relevant information for analytic solutions

• Processing, cleansing, and verifying the integrity of data used for analyses

• Interacting with and utilizing Azure cloud databases and on - prem Microsoft databases

• Conducting ad - hoc analysis and presenting results using modern data visualizers

• Proficiency with programming languages: R, Python, Scala, Java, SQL, or equivalent

• Proficiency with common data science toolkits: SAS, SPSS Modeler, R, WEKA, or equivalent

• Proficiency with applied statistics, such as statistical testing, regression analysis, and multivariate analysis

• Experience constructing and executing queries to extract data in support of Exploratory Data Analysis (EDA) and model development

• Experience with unsupervised and supervised machine learning techniques, methods and algorithms: K - means, K - nearest neighbor, Na ve Bayes, Hierarchical, Deep Belief Networks, Principal Component Analysis, etc.

• Experience working with large - scale, cloud - based data sets and databases, both unstructured (e.g., Cosmos DB, MongoDB, Snowflake) and structured (e.g., SQL Server, Oracle, Snowflake) as well as both qualitative (text) and quantitative (numeric) information

• Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) to perform data mining, analysis, and training set construction

• Experience with automated classification, categorization, pattern recognition and extraction, and entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation)

• Experience working in a team and deploying solutions in an iterative or Agile/DevOps environment using lifecycle management methods and tools

• Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot2, Tableau, SAS Visual Analytics, Power BI)

• Familiarity with Microsoft Azure services and tools is a plus

• Degree in Statistics/Quantitative Analyses, Computer Science, Mathematics, Operations Research, or other related technical fields with equivalent practical experience

• Strong communications skills

• A world - class international work environment located in Hyderabad, India

• A dynamic, multi - cultural team and collegial work atmosphere

• Practical use of English and valuable work experience with a well - established consulting and market research firm

Equal Opportunity Employer, M/F/D/V

Keyskills :
machine learningpython data analysissql analyticsexploratory data analysis principal component analysissas visual analytics