Junior Data Scientist Training Professional Development Track Job at Brilliant Infotech Inc, New Jersey

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  • Brilliant Infotech Inc
  • New Jersey

Job Description

Employment Type: Full-Time

Experience Level: Entry-Level / Early Career Role Overview

We are onboarding motivated individuals into a structured Data Science Professional Development Track designed to build strong analytical, technical, and project execution capabilities aligned with real-world industry needs.

This role combines guided project work, mentorship, and performance-based progression into client-facing or internal data science assignments.

Key Responsibilities
  • Work on structured, real-world data science projects under senior mentorship
  • Perform data cleaning, preprocessing, and exploratory data analysis (EDA)
  • Develop and validate machine learning models
  • Build dashboards and data visualizations for business insights
  • Collaborate with cross-functional teams to translate business problems into analytical solutions
  • Document methodologies, findings, and project outcomes
  • Participate in technical reviews and performance evaluations
Technical Skills Required
  • Strong foundation in Python (Pandas, NumPy, Scikit-learn)
  • Understanding of statistics, probability, and hypothesis testing
  • Knowledge of machine learning algorithms (Regression, Classification, Clustering)
  • Experience with SQL and relational databases
  • Familiarity with data visualization tools (Tableau / Power BI / Matplotlib)
  • Basic understanding of cloud platforms (AWS/Azure preferred)
Preferred Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related field
  • Exposure to Deep Learning frameworks (TensorFlow / PyTorch) is a plus
  • Strong analytical thinking and problem-solving skills
  • Excellent communication and documentation skills
What We Offer
  • Structured professional development plan
  • Hands-on exposure to industry-aligned projects
  • Technical mentorship and performance feedback
  • Opportunity for progression into advanced data roles based on performance
  • Collaborative and growth-oriented work environment
Ideal Candidate
  • Highly motivated to build a long-term career in Data Science
  • Comfortable working in a structured, performance-driven environment
  • Willing to work onsite as required

Thanks and Regards,

Sapna B

Cell Number : +1 732-217-2656

Whatsapp Number : +1 (732) 558-6693

E-Mail: sapna.b@brilliantinfotech.com

E-Verify Employer

200 Metroplex Dr, Suite 414|Edison NJ 08817.

Website:

Job Tags

Full time

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