Data Scientist II, Advanced Analytics | TalentAlly · Teeming.ai
TalentAlly
TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment…
TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment…
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The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data-driven solutions that improve business performance and decision-making. This role builds and deploys predictive and LLM-based models using modern tools (CI/CD, Airflow), develops impactful insights through strong analytics and Power BI visualizations, and partners with stakeholders to identify high-value opportunities. The ideal candidate has strong analytical skills, a keen eye for data, and a passion for applying AI to real-world problems.
If local to our Minneapolis, MN office this role will be considered hybrid with 1-2 days in office weekly.
Key Objectives
Deliver measurable impact using machine learning and GenAI/LLM-driven solutions
Improve operational performance through scalable, production-ready analytics
Enable smarter decision-making through data storytelling and visualization
Identify and implement high-value GenAI use cases across the organization
Promote responsible, effective use of AI and advanced analytics
Mentor junior team members and elevate team capabilities
Essential Duties & Responsibilities
Analyze and integrate large, complex datasets from multiple sources (cloud environments preferred)
Design, build, and deploy machine learning models and LLM-powered solutions
Develop GenAI use cases such as text classification, embeddings, summarization, and decision support tools
Required Skills & Competencies
Work Experience
3+ years in data science, advanced analytics, or related field
Proven experience building and deploying ML solutions in production
Experience applying statistical analysis and predictive modeling
Exposure to or hands-on experience with
GenAI / LLM applications
strongly preferred
Education
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field (required)
Preferred / Differentiators
Experience with cloud platforms (AWS, Azure, or GCP)
Experience operationalizing LLM solutions in production environments
Familiarity with MLOps and model lifecycle management
Passion for AI innovation and continuous learning
Other
SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable.
SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.
$95,100.00 - $142,600.00 - Salary
If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at <a href=""mailto:Careers@strategiced.com"" rel="noopener noreferrer" target="_blank">Careers@strategiced.com
.
PDN-a1ae17f6-3529-4b50-ba1a-81de6df58edd
Productionize models using CI/CD pipelines and orchestrate workflows with Airflow (DAGs)
Monitor model performance, maintain documentation, and ensure governance and reliability
Translate analytical findings into clear business insights for technical and non-technical audiences
Build dashboards and visualizations using Power BI to track KPIs and model outcomes
Partner with stakeholders to identify opportunities for advanced analytics and AI adoption
Apply strong data validation and quality checks with a keen eye for data accuracy and integrity
Support ethical AI practices, data privacy, and governance standards
Mentor junior data scientists and contribute to best practices
Strong proficiency in
SQL and Python (or R)
Hands-on experience with
machine learning model development and deployment
Experience with
Generative AI / LLMs
(prompting, embeddings, NLP use cases)
Experience with
CI/CD pipelines, Airflow, and workflow orchestration
Strong experience with
Power BI or similar visualization tools
Excellent analytical and problem-solving skills with attention to detail
Strong data intuition and ability to identify patterns, anomalies, and insights
Ability to communicate complex analytical and AI concepts clearly
Experience with
version control (Git)
and collaborative development
Ability to work independently in ambiguous environments
Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve plane, car or metro. In accordance with ADA policies, reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%), senior leaders (10 – 20%) or Capella Core Faculty (5 – 10%).
Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so, this would include being mobile within the office, including movement from floor-to-floor using elevators or stairs.
If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies.
Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers.
Must be able to work more than 40 hours per week when business needs warrant. Accommodations related to schedule may be considered.
Able to access information using a computer.
Other essential functions and marginal job functions are subject to modification.
