Minimum Score Of 62 On The Predictive Success Model Jobs in Washington DC

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Looking for Minimum Score Of 62 On The Predictive Success Model jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Minimum Score Of 62 On The Predictive Success Model position in the Washington DC area.

Sales Development Representative, Dragonfly

Company: FiscalNote

Location: Washington DC

Posted Jan 27, 2025

The Sales Development Representative role at Dragonfly involves generating sales opportunities with non-clients for the Business Development team. The primary focus is on creating meetings for the North America Business Development team through cold outreach and nurturing existing marketing-generated leads. Success is measured by the number of leads converted into qualified opportunities. The role requires 80% of time on sales-related activities, including generating fully qualified sales meetings, building strategic plans, and running targeted email campaigns. The remaining 20% is spent on marketing tasks such as nurturing leads, inviting prospects to analyst calls, and maintaining the prospect marketing database. The base salary range is $50,000 - $55,000 per year. The ideal candidate should have a BA in a relevant subject, strong interpersonal skills, and a demonstrable ability to work in a targeted environment.

Senior Software Engineer, Full Stack

Company: Capital One

Location: Washington DC

Posted Jan 27, 2025

Capital One is seeking a Full Stack Software Engineer with at least 3 years of experience. The role involves collaborating with Agile teams, designing and implementing technical solutions, and utilizing various programming languages and technologies. The company offers a competitive salary, comprehensive benefits, and a drug-free workplace. They are committed to diversity and inclusion, and will consider qualified applicants with a criminal history.

Business Development Representative

Company: BluShark Digital

Location: Washington DC

Posted Jan 27, 2025

BluShark Digital, a leading digital marketing agency based in Washington DC, is seeking a motivated Business Development Representative. The role involves driving new business within the legal, home, and medical industries by identifying potential clients, developing relationships, and educating them on BluShark's digital marketing strategies. The ideal candidate should have proven sales experience, a consultative sales approach, strong communication skills, and a self-motivated entrepreneurial mindset. BluShark Digital offers a competitive salary, comprehensive benefits, and a dynamic work environment. The company is committed to a respectful work environment and equal employment opportunities.

Lead Financial Engineer (Flexible Hybrid)

Company: Fannie Mae

Location: Washington DC

Posted Jan 27, 2025

Fannie Mae is seeking a Lead Financial Engineer to join their team. The role involves working with a team to assess and monitor credit risk on Fannie Mae's $500 billion multifamily securitization book of business. The engineer will learn and execute proprietary in-house forecasting and pricing models, analyze loan-level results, and quantitatively analyze multifamily loan terms, products, and securitizations. The ideal candidate will have a minimum of 4 years of experience, preferably with an MBA or a Master's/PhD in a relevant field, and experience developing and running financial models or analyzing large datasets. Familiarity with GSE multifamily lending business underwriting requirements and GSE multifamily securitizations structured transactions is also desired. The role offers the flexibility to make each day your own while working alongside a supportive team.

Data Scientist (Top Secret)

Company: Spry Methods, Inc.

Location: Washington DC

Posted Jan 27, 2025

Spry is looking for a highly skilled Data Scientist with a Top Secret clearance. The ideal candidate should have extensive experience in designing and building complex data models, and be familiar with machine learning and AI. The role involves designing data models, developing machine learning algorithms, analyzing large datasets, collaborating with cross-functional teams, creating documentation, staying updated with advancements in data science, developing data visualizations, ensuring data quality, and identifying data-related issues.

Frequently Asked Questions

What are the typical salary ranges for different seniority levels in the Minimum Score Of 62 On The Predictive Success Model category?
Junior Predictive Hiring Analyst: $70,000–$90,000. Mid‑level Talent Analytics Specialist: $100,000–$140,000. Senior Analyst: $140,000–$200,000. Lead Analyst: $160,000–$220,000. Manager of Talent Analytics: $180,000–$250,000.
What skills and certifications are required to excel in these roles?
Proficiency in Python, R, SQL, and TensorFlow for model development; experience with Pymetrics or HireVue integration; Tableau or Power BI for reporting; Azure Data Factory or AWS Glue for pipelines. Certifications such as Certified People Analytics Professional (CPAP), SHRM‑CP, or HR Analytics Certificate add measurable credibility.
Is remote work available for Minimum Score Of 62 On The Predictive Success Model positions?
Yes—most roles are fully remote or hybrid. Companies prioritize data‑driven talent over location, offering flexible schedules and cloud‑based collaboration tools like Microsoft Teams, Slack, and JupyterHub for remote analytics work.
What does a typical career progression look like in this category?
Start as a Predictive Hiring Analyst, advance to Senior Analyst, then Lead Analyst, followed by Talent Analytics Manager, and ultimately Director of People Analytics. Each step adds ownership of larger data sets, strategic influence, and cross‑functional leadership.
What industry trends are shaping the Minimum Score Of 62 On The Predictive Success Model field?
Key trends include AI bias mitigation frameworks, real‑time hiring dashboards, integration of HRIS with analytics platforms, GDPR‑compliant data handling, and continuous learning systems that update predictive models with new candidate data.

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