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Data Scientist

Company: Apexon

Location: Detroit MI USA

Posted on: November 21

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.


  • 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

  • Bachelor's Degree in related field is required

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).

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