Java Fullstack Developer

Posted on April 21, 2025

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Job Description

  • About the Role:
  • Duration: 6 Months
  • Location: Bangalore
  • Timings: Full Time (As per company timings)
  • Notice Period: (Immediate Joiner - Only)
  • Experience: 5 Years
  • Job Description:
  • We are looking for a highly motivated and skilled Data Scientist to join our growing team. The ideal candidate should possess a robust background in data science, machine learning, and statistical analysis, with a passion for uncovering insights from complex datasets. This role demands hands-on experience in Python and various ML libraries, strong business acumen, and effective communication skills for translating data insights into strategic decisions.
  • Key Responsibilities:
  • Develop, implement, and optimize machine learning models for predictive analytics and business decision-making.
  • Work with both structured and unstructured data to extract valuable insights and patterns.
  • Leverage Python and standard ML libraries (NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras, Matplotlib) for data modeling and analysis.
  • Design and build data pipelines for streamlined data processing and integration.
  • Conduct Exploratory Data Analysis (EDA) to identify trends, anomalies, and business opportunities.
  • Partner with cross-functional teams to embed data-driven strategies into core business operations.
  • Create compelling data stories through visualization techniques to convey findings to non-technical stakeholders.
  • Stay abreast of the latest ML/AI innovations and industry best practices.
  • Required Skills & Qualifications:
  • 5 years of proven experience in data science and machine learning.
  • Proficient in Python and key data science libraries.
  • Experience with ML frameworks such as TensorFlow, Keras, or PyTorch.
  • Strong understanding of SQL and relational databases.
  • Solid grounding in statistical analysis, hypothesis testing, and feature engineering.
  • Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly.
  • Demonstrated ability to work with large datasets and solve complex analytical problems.
  • Excellent communication and data storytelling skills.
  • Knowledge of Marketing Mix Modeling is a plus.
  • Preferred Skills:
  • Hands-on experience with cloud platforms like AWS, Azure, or GCP.
  • Exposure to big data technologies such as Hadoop, Spark, or Databricks.
  • Familiarity with NLP, computer vision, or deep learning.
  • Understanding of A/B testing and experimental design methodologies.

Required Skills

5 years of proven experience in data science and machine learning. proficient in python and key data science libraries. experience with ml frameworks such as tensorflow keras or pytorch.