Job Description
Location: New Jersey
Experience: 2–5 Years
Role Overview
We are seeking a talented Data Scientist to execute complex analytical initiatives and deliver high-impact solutions within the Finance domain. The ideal candidate combines strong technical expertise with business acumen and the ability to communicate insights effectively to diverse stakeholders.
Key Responsibilities
- Design, develop, and deploy machine learning and statistical models to solve business problems.
- Perform advanced text analytics, including sentiment analysis and word embeddings.
- Work with large-scale data architectures and cloud environments to process and analyze data efficiently.
- Collaborate with cross-functional teams (business, IT, and external partners) to deliver enterprise-level projects.
- Communicate analytical findings, risks, and value propositions clearly to stakeholders.
- Mentor team members and contribute to best practices in data science and AI adoption.
Required Skills & Qualifications
- 2–5 years of professional experience as a Data Scientist delivering complex analytical projects.
- 2+ years of hands-on experience in text analytics and NLP techniques.
- Strong programming expertise in Python, TensorFlow, scikit-learn, pandas, and CUDA.
- Solid understanding of machine learning algorithms, classifiers, and statistical methodologies.
- Knowledge of big data architectures and cloud computing platforms.
- Experience with data visualization tools such as Tableau or Kibana.
- Advanced degree (or equivalent experience) in Mathematics, Data Science, Computer Science, or a related quantitative field.
- Excellent communication, coaching, and stakeholder management skills.
Preferred Qualifications
- Experience with Hadoop/Hive, Neo4j, Apache Spark, Kafka, or MongoDB.
- Exposure to Speech-to-Text technologies.
- Experience working in the Finance or FinTech domain.
- Demonstrated success delivering high-value enterprise solutions.
What We’re Looking For
A forward-thinking professional eager to leverage modern technologies as a disruptive force in the finance sector while driving measurable business impact.