Company Description:
Apexon is a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
RESPONSIBILITIES
Title- Data Scientist
Role Location Hybrid/Onsite
Travel None
Purpose of Role/Organizational Unit:
Data scientist resource will be member of Enterprise Data and Advanced Analytics team, working with cross-functional teams to leverage data and advanced analytical techniques and deliver data-driven solutions within an organization. This work entails problem solving in a variety of domains, including: regression and classification problems; natural language processing tasks; business process optimization; and conducting research and analysis on new technologies and business methodologies.
Functions/Responsibility Performed:The following functions are the responsibility of the Data Scientist. This individual may be asked to solely perform the functions, per agreement with the Enterprise Data Science Manager.
Collaborate with business stakeholders to understand their challenges and requirements
Translate business problems into analytical frameworks and identify opportunities to address complex problems
Identify valuable data sources and use Analytical and Visualization tools to explore data, identify trends and discovery patterns
Apply statistical analysis and data mining techniques to analyze large and complex datasets
Enhance data collection process with preprocessing steps, transform raw data and apply cleansing of structured and unstructured data
Automate data collection processes using pipelines
Develop and implement models, algorithms, and statistical methodologies to derive actionable insights and make accurate predictions
Build interactive dashboards and data visualizations applications to present the model results to stakeholders
Document best practices and quality standards to be adherence during development of data science solutions
Conduct review and provide feedback on data science work applications
Monitor and manage production solutions. Optimize and fine-tune models for performance, accuracy, and scalability
Collaborate with cross functional teams to deploy models into production environments
Be a team player, proactive, an effective communicator with ability to work independently
Eager to learn new data domains
Unique Competencies:?
8+ years of experience in Data Science and Analytical Domains
Understanding of machine-learning and operations research
Proficiency in Query languages SQL, Hive and scripting languages
Knowledge of R; familiarity with Scala, Java is an asset
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop, Google Cloud Platform, SAP)
Working knowledge of containers. For example, experience with Docker or podman
Comfortable with git
Proven ability deploying automated data processing pipelinesStrong command lines skills in Linux environments
Experience with Kubernetes, GCP, AWS, and cloud-native technologies generallyA high tolerance for OpenShift, Confluence, Jira, and other enterprise tools
Analytical mind and business acumen
Proficiency in Data wrangling
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Educational Requirements: Bachelors Degree in Computer Science engineering or Data Analytics
Disclaimer:If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE).
