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RK Infotech LLC - E-Verified Company
AI

Data Scientist

RK Infotech LLC - E-Verified Company · Dallas, TX

Actively hiring Posted 3 months ago

We Are Hiring: Data Scientist (Fresher / Entry-Level | 0–3 Years)

We are looking for enthusiastic
fresh graduates
who are eager to start their career in
Data Science
. This role is designed for candidates who may have strong academic knowledge, projects, or internship experience and are excited to learn while working on real-world data problems under expert guidance.

Location:
[Onsite / Hybrid / Remote]

Employment Type:
Full-Time

Experience Level:
Freshers / 0–3 Year

Key Responsibilities:

  • Assist in collecting, cleaning, and preparing data for analysis

  • Perform basic data analysis to identify trends and patterns

  • Support senior data scientists in building and testing ML models

  • Create simple reports, dashboards, and visualizations

  • Work on academic, internship, or internal projects using real datasets

  • Learn and apply industry best practices in data science

  • Collaborate with team members and actively participate in knowledge-sharing

Required Skills & Qualifications:

  • Bachelor’s degree (or final-year student) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related fields

  • Basic programming knowledge in
    Python

  • Understanding of
    statistics and mathematics fundamentals

  • Familiarity with data analysis libraries (Pandas, NumPy)

  • Basic knowledge of SQL and databases

  • Awareness of machine learning concepts (training, testing, overfitting, etc.)

  • Strong willingness to learn, curiosity, and problem-solving mindset

  • Good communication skills

Preferred / Nice to Have (Not Mandatory)

  • Academic projects or internships in Data Science / Analytics

  • Exposure to ML libraries (Scikit-learn, TensorFlow, PyTorch)

  • Experience with data visualization tools (Matplotlib, Seaborn, Tableau, Power BI)

  • Online courses, certifications, Kaggle participation, or GitHub projects

  • Basic understanding of cloud platforms (AWS / Azure / GCP)

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