Job Opportunities at Youverify

Job Description

• We are looking for for a Data Scientist / Machine Learning Engineer who will be responsible in extracting value from our data and creating artificial intelligence products.
• You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. Ideal candidate will also be responsible in creating machine learning models and retraining systems.

Responsibilities

• Identifying valuable data sources and automating data collection processes.
• Studying and transforming data science prototypes as well as designing machine learning systems
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Develop company A/B testing framework and test model quality.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Creating automated anomaly detection systems and constant tracking of its performance
• Establish new systems and processes and look for opportunities to improve the flow of data.

Requirements

• B.Sc in Computer Science, Engineering, Data Science or relevant field.
• 2+ years experience as a Data Scientist, Machine Learning Engineer, or Data Analyst.
• Coding knowledge and experience with several languages: Python, Java, JavaScript, etc.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analysing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, NiFi, HBASE, HDFS, Kafka, Kudu, etc.
• Experience visualising / presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Have experience and/or interest in delivering analytical projects with top Cloud platforms such as GCP, Azure, AWS (e.g., using Databricks, BigQuery).

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Job Description

• Implementing various development, testing, automation tools, and IT infrastructure
• Setting up tools and required infrastructure
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
• Incidence management and root cause analysis
• Coordination and communication within the team and with customers
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Monitoring and measuring customer experience and KPIs
• Managing periodic reporting on the progress to the management and the customer

Requirements

• Candidates should possess a Bachelor’s Degree
• 5+ years of professional experience deploying engineering applications for a large corporation
• Professional work experience in team building and project organization
• Experience working on Linux based infrastructure
• Excellent understanding ofRuby,Python, Perl, and Java
• Configuration and managing databases such as Mongo, MySql, Cassandra etc
• Excellent troubleshooting skills
• Experience with Docker, Kubernetes, Terraform etc
• Working knowledge of various tools, open-source technologies, and cloud services, securing servers and various types of testing
• Awareness of critical concepts in DevOps and Agile principles
• Demonstrated project development and leadership skills
• Current understanding of best practices regarding system security measures
• Advanced education and application of business analysis techniques and strategy
• Experience working together with teams from several departments to facilitate the orderly execution of a proposed project plan
• Professional experience and a high-level understanding of working with various operating systems and their implications