Senior Data Scientist

Data Scientist

Juniper Experience and Operations (JXO) organization is incubating a Technology group to transform CX (customer experience) and EX (employee experience). The charter of this group is to discover, evaluate and leverage technology to enhance and simplify the digital experience of stakeholders. Knowledge and data will be central to this journey of creating a proactive and predictive support experience. The use of automation, AI and other modern technology will enable reduction of time, effort on the journey to resolution.

Responsibilities

• Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Work with partners including the executive, product, data and operations teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with data and analytics specialists to strive for greater functionality in our data systems.
• Identify trends, patterns from dataset to scope opportunities for automation

Qualification and Desired Experiences

• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• 5+ years experiences building data pipelines for data science-driven solutions
• Experience working in technical support environment, working with dataset from CRM, bugs systems, logs
• Experience supporting and working with multi-functional teams in a multidimensional environment.
• Good team worker with excellent interpersonal, written, verbal and presentation skills
• Create and maintain optimal data pipeline architecture, assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large, disconnected datasets.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Experience working with Large Language models, Generative AI, Conversational AI
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow, NLP libraries
• Experience working with Databricks, Snowflake platforms
• Experience with AWS, S3, Spark, Kafka, Elastic Search
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Juniper is an Equal Opportunity workplace and Affirmative Action employer. We do not discriminate in employment decisions based on race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made based on individual qualifications, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.