Drive the evolution of data & services products/platforms with an impact focused on data science and engineering
Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Participate in identification and evaluation of data elements to deliver analytics for product development
Solve complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Continuously innovate and determine new approaches & technologies to solve business problems and generate business insights & recommendations
Participate in the development of data and analytic infrastructure for product development
Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve
Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders
Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
Work with small, cross-functional teams to define the vision, establish team culture and processes
Consistently focus on key drivers of organization value and prioritize operational activities accordingly
Escalate technical errors or bugs detected in project work
Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
Job requirement
Degree in Software Development, Computer Science, or similar.
Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
Familiar with batch processing and workflow tools such as NiFi
Experience in managing/working in Agile teams
Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting
High proficiency in Python, Spark, SQL
Hands-on experience with Hadoop big data tools (Hive, Impala, Spark)
Motivated, flexible, self-directed, and desire to lead small project teams
Curiosity, creativity, and excitement for technology and innovation
Demonstrated quantitative and problem-solving abilities
Excellent project management skills
Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement
Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
Outstanding communication and organizational skills
Interested Candidates may send their resume and cover letter directly to ,stating the position as the subject title in the email. Hibah Bakhtavar | EA License No. 02C3423 | Personnel Registration No. R21103109
Hibah Bakhtavar EA License No.: 02C3423 Personnel Registration No.: R21103109
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