Job description 

RESPONSIBILITIES

Responsibilities

What you'll be able to do:

• Critical Thinking: Able to influence the strategic direction of the company by finding opportunities in large, rich data sets and crafting and implementing data driven strategies that fuel growth including cost savings, revenue, and profit.
• Modelling: Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using advanced algorithms on diverse sources of data and testing and validation of models, such as forecasting, natural language processing, pattern recognition, machine vision, supervised and unsupervised classification, decision trees, neural networks, etc.
• Analytics: Leverage rigorous analytical and statistical techniques to identify trends and relationships between different components of data, draw appropriate conclusions and translate analytical findings and recommendations into business strategies or engineering decisions - with statistical confidence
• Data Engineering: Experience with crafting ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, data quality.
• Visualization: Build visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic using applications such as Seaborn, QlikSense/Power BI/Tableau/Looker Studio, etc.

QUALIFICATIONS

Qualifications:

Minimum Requirements we seek: 

• Master’s degree in computer science, Mathematics, Physics, Electrical Engineering or related field or a combination of education and equivalent experience.
• 3+ years of experience in full stack software development
• 3+ years of experience in Cloud technologies & services, preferably GCP
• 3+ years of experience of practicing statistical methods and their accurate application e.g., ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc.
• 3+ years’ experience with Python, SQL, BQ.
• Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Vertex AI, Airflow, TensorFlow, etc.,
• Experience in Train, Build and Deploy ML, DL Models\
• Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. 
• Ability to adapt quickly with opensource products & tools to integrate with ML Platforms
• Building, developing and deploying Models (XGBoost, DataRobots TensorFlow Putorch, CV, etc.)
• Developing and deploying On-Prem & Cloud environments, 
• Kubernetes, Tekton, OpenShift, Terraform, Vertex AI

Our Preferred Requirements: 

• Master's degree in computer science, Mathematics, or related field or a combination of education and equivalent experience.
• Demonstrated successful application of analytical methods and machine learning techniques with measurable impact on product/design/business/strategy.
• Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through college course work, online training and certification or project development.
• Demonstrated expertise in commercial tools such as Alteryx, QlikView / Qlik sense, Tableau or Power BI, Looker Studio acquired through training and/or implementation on projects.
• Self-motivated with excellent verbal and written skills.
• Highly credible in organizational, time management, decision making and problem-solving skills.
• Familiarity working with big data to develop scalable, production-ready solutions.