Highlights
Predictive Modeling: Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes. Cross-functional Collaboration: Collaborate closely with cross functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals.
Numbers & Facts
| Location | Birmingham, AL |
| Industry | Staffing/Employment Agencies |
| Salary | $70–$74.10 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | http://www.lancesoft.com/ |
Description
Job Details:
Title: Data Scientist 3
Location: Birmingham AL 35203
Duration: 10/5/2026 - 10/31/2029
Pay: $70.00 - $74.10 per hour
Job Description -
Key Responsibilities:
Required
Qualifications:
Title: Data Scientist 3
Location: Birmingham AL 35203
Duration: 10/5/2026 - 10/31/2029
Pay: $70.00 - $74.10 per hour
Job Description -
Key Responsibilities:
- Data Analysis: Expertly handle complex data sets, conduct in-depth data analysis, and derive actionable insights by applying advanced statistical and machine learning techniques.
- Predictive Modeling: Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes.
- Data Visualization: Create compelling data visualizations that effectively communicate complex findings and insights using tools like Tableau, Power BI, or custom Python visualizations.
- Feature Engineering: Lead feature engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models.
- Statistical Validation: Formulate, implement, and test hypotheses, providing robust statistical validation for key business decisions.
- Algorithm Development: Lead the development of machine learning algorithms and their optimization to solve complex business problems.
- Data Integration: Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses.
- Model Deployment: Oversee the deployment of machine learning models in production environments to support real-time decision-making and business applications.
- Experimentation & A/B Testing: Design and analyze A/B tests to measure the impact of changes, optimizations, and improvements.
- Data Ethics: Ensure ethical data practices, privacy compliance, and adherence to data protection regulations in all data science initiatives.
- Cross-functional Collaboration: Collaborate closely with cross functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals.
- Mentorship: Provide mentorship and guidance to junior data scientists, fostering their growth and development.
- Strategic Leadership: Act as a strategic leader, influencing data-driven culture across the organization, defining the data science roadmap, and contributing to long term data strategy.
- Innovation: Stay updated on the latest data science tools, techniques, and trends, continuously innovating and evaluating new technologies to improve data science practices.
Required
- Proficiency in data analysis tools and programming languages such as Python, R, or Julia.
- Expert knowledge of machine learning algorithms and their applications.
- Exceptional skills in data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn).
- Profound understanding of databases and data manipulation using SQL.
- Outstanding problem solving and critical thinking abilities.
- Strong leadership and communication skills, capable of conveying complex findings and insights to both technical and non-technical stakeholders.
- Extensive experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
- Expertise in data ethics, privacy, and compliance considerations.
Qualifications:
- Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering).
- 10 to 15 years of experience in data science, including an extensive track record of implementing data solutions and driving data-driven decision making.
About Company
We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.