Sr. Data Scientist

  • Richmond, VA
  • Posted 39 days ago | Updated 10 hours ago

Overview

On Site
Full Time

Skills

Statistical models
Business requirements
Design
Unstructured data
Presentations
FOCUS
Agile
Leadership
Analytics
Advanced analytics
Big data
Data processing
Privacy
Cloud computing
Apache Hadoop
Apache Hive
Amazon Redshift
Snow flake schema
Databricks
Google Cloud Platform
Google Cloud
SAS
Microsoft Azure
Unix
Shell scripting
Data Visualization
Microsoft Power BI
Tableau
Specification
API
SQL
Data structure
Communication
Problem solving
Artificial intelligence
Programming languages
Python
R
Data manipulation
Pandas
NumPy
scikit-learn
Machine Learning (ML)
Algorithms
Data mining
Analytical skill
Clustering
Regression analysis
Time series
Natural language processing
k-nearest neighbors
Decision trees
Logistic regression
Supply chain management
Health care
Pharmaceutics
Educate
Data
Negotiations
Decision-making
Computer science
Data Science
Information Technology
SAP BASIS
Law
IT service management
Oracle Application Express
Apex
Innovation
Collaboration
Training
Recruiting

Job Details

Job#: 2041027

Job Description:
Data Scientist
Richmond, VA
Remote flexibility but must live in Richmond, VA area. There is no strict hybrid schedule.
Responsibilities:
  • Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.
  • Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
  • Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
  • Design and execute experiments to test hypotheses and validate models.
  • Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
  • Build and maintain scalable data pipelines and data processing systems.
  • Communicate findings and recommendations to stakeholders, including non-technical audience, through visualizations, reports, and presentations.
  • Stay updated on advancements in data science, machine learning, and analytics.
  • Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
  • Collaborate with the Enterprise Analytics team to integrate new practices and technologies.

Minimum Requirements
  • Typically requires 7+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate
  • Critical Skills
  • Hands-on experience building and delivering Enterprise Data Solutions
  • Extensive professional experience with Big Data systems, data pipelines and data processing
  • Familiarity with data privacy standards, methodologies, and best practices
  • Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, Google Cloud Platform and Azure.
  • Hands on experience working on analytical platforms like SAS, R, Python, Azure ML
  • Expertise in Unix Shell scripting and Dependency driven job schedulers.
  • Expertise in Data visualization tools such as Power BI, Tableau and Looker is a plus
  • Ability to understand API Specs, identify relevant API calls, extract data and implement data pipelines & SQL friendly data structures.

Additional Skills
  • Excellent communication and interpersonal skills, with the ability to engage and influence with technical teams, business leaders, and external partners.
  • Strategic thinker with a strong analytical mindset and problem-solving abilities.
  • Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges.
  • Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.
  • Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
  • Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.
  • Proficient in many of the following applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression or similar.
  • Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment
  • Experience with data in the drug supply chain and commercial domain within healthcare, pharma is a plus
  • Highly influential and ability to educate stakeholders on the role of data and its purpose in the business
  • Teams up and collaborates for speed, agility, delivery excellence and innovation
  • Strong negotiation and decision-making skills

Education:
Bachelor's or master's degree in computer science, Data Science, Information Technology, or a related field OR equivalent experience

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Apex Systems