Sr. Data Scientist - 5+ Years - Remote

Crescendo Global Leadership Hiring India; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An emerging name in AI/ML-driven risk analytics is seeking a skilled data scientist to lead the development of predictive models and machine learning solutions. This role offers an opportunity to work at the forefront of AI/ML innovation in finance, collaborating with cross-functional teams and mentoring junior talent. The company fosters a flexible work culture, focusing on growth and continuous learning, making it an exciting environment for professionals eager to make a significant impact in the financial services sector.

Benefits

Flexible work arrangements

Collaborative culture

Continuous learning and development support

Competitive compensation

Qualifications

• 5+ years of experience in data science within financial services.
• Strong command of machine learning and predictive modeling.

Responsibilities

• Leading the development of predictive models and machine learning solutions.
• Mentoring junior data scientists and overseeing project deliverables.

Skills

Machine Learning

Predictive Modeling

Data Analytics

Python

R

SQL

Data Manipulation (Pandas, NumPy)

Education

Masters degree in Computer Science

Masters degree in Statistics

Masters degree in Mathematics

Masters degree in Engineering

Tools

Pandas

NumPy

Job description

An exciting opportunity to work with a fast-growing AI/ML startup in the financial services space, driving innovation with predictive modeling and data analytics.

Location:
Remote

Your Future Employer:
An emerging name in AI/ML-driven risk analytics and data enrichment, backed by seasoned professionals from the financial services sector and serving top-tier clients globally.

Responsibilities:

1. Leading the development of predictive models and machine learning solutions.
2. Designing and maintaining large-scale datasets for data-driven decision-making.
3. Collaborating with cross-functional teams across data science, technology, and operations.
4. Mentoring junior data scientists and overseeing project deliverables.
5. Staying updated on evolving AI/ML tools and methodologies.
6. Building scalable analytics solutions for credit and lending applications.

Requirements:

1. Masters degree in Computer Science, Statistics, Mathematics, Engineering, or similar quantitative fields.
2. Minimum 5 years of experience in data science within the financial services industry.
3. Strong command of machine learning, predictive modeling, and data analytics.
4. Proficiency in Python/R/SQL and data manipulation libraries like Pandas and NumPy.
5. Prior experience with commercial credit bureaus such as Dun & Bradstreet, Experian, or Equifax.

What is in it for you:

1. Opportunity to work at the forefront of AI/ML innovation in finance.
2. Flexible work arrangements and a collaborative, growth-focused culture.
3. Competitive compensation with continuous learning and development support.

Reach Us :
If you think this role is aligned with your career, kindly write to me at [e-mail] with your updated CV for a confidential discussion on the role.