Data Analysts with Scala

Skills

Description

· Apply advanced statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets.
· Develop and implement predictive, prescriptive and inferential models to solve business challenges and drive decision-making processes.
· Must be good with collaborating with technical and non-technical stakeholders to effectively understand the business challenge, use case and structure the discussion in succinct format for driving next steps.
· Collaborate with domain experts to understand business requirements and translate them into data-driven solutions.
· Communicate complex technical concepts and analytical findings effectively to both technical and non-technical stakeholders.
· Create visually compelling presentations, reports, and dashboards to convey insights and recommendations.
· Lead workshops, meetings, and discussions to drive alignment and understanding across teams.
· Provide strategic guidance and contribute to the development of data-driven strategies within the organization.
Qualifications:
· Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
· Proven experience (6+ years) as a data engineer and data scientist, preferably in a fast-paced technology or analytics-driven environment.
· Experience in leveraging Graph data science concepts to solve business use cases a must.
· Strong proficiency in data engineering tools and languages (e.g., SQL, Python, Scala, ETL frameworks, data warehousing).
· Comfortable and experienced working in Databricks, Spark environment.
· Extensive experience with machine learning frameworks (e.g., TensorFlow, H2O) and data science libraries (e.g., SparkML).
· Ability to develop visualizations, as necessary to present insights, metrics and how this informs addressing the business challenge.
· Excellent presentation and communication skills, with the ability to convey technical concepts to non-technical audiences.
· Experience in a networking or communications domain is a plus.
· Experience interacting with other technical and non-technical stakeholders to collaborate on efforts like solutioning, understanding other data domains in order to source data is a must.