Data Scientist

2 weeks ago


Bengaluru, Karnataka, India CodeZio Full time ₹ 10,00,000 - ₹ 30,00,000 per year

Job Title : Data Scientist

Location : Bangalore / Gurgaon

Employment Type : Full-Time

Experience : 4-8 years

Notice Period : 30 Days

About the Role :

We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. The ideal candidate will have strong expertise in statistical modeling, machine learning, and data-driven problem-solving. You will work closely with cross-functional teams to design, implement, and optimize data solutions that drive business impact.

Key Responsibilities :

- Build, deploy, and optimize machine learning models and statistical algorithms for real-world business problems.

- Analyze large and complex datasets to extract actionable insights and support data-driven decision-making.

- Collaborate with product, engineering, and business teams to define data requirements and implement solutions.

- Develop and maintain predictive models, recommendation systems, and forecasting algorithms.

- Work with structured and unstructured data (text, image, social, etc.).

- Present findings and insights clearly to both technical and non-technical stakeholders.

- Ensure scalability, performance, and reliability of data science solutions.

Required Skills & Qualifications :

- 4-8 years of proven experience as a Data Scientist.

- Strong knowledge of Python / R, SQL, and data manipulation libraries (Pandas, NumPy, Scikit-learn, etc.).

- Hands-on experience with machine learning, deep learning, and statistical modeling.

- Familiarity with frameworks like TensorFlow, PyTorch, or Keras.

- Proficiency in data visualization tools (Tableau, Power BI, Matplotlib, Seaborn, Plotly).

- Experience working with big data platforms (Spark, Hadoop, AWS, GCP, or Azure).

- Solid foundation in mathematics, probability, and statistics.

- Strong problem-solving and critical thinking skills.

Good to Have :

- Experience in NLP, computer vision, or recommendation systems.

- Exposure to MLOps and model deployment pipelines.

- Familiarity with cloud-based data services (AWS Sagemaker, GCP AI, Azure ML).

- Prior experience in a fast-paced product or consulting environment.

Why Join Us ?

- Opportunity to work on cutting-edge data science projects.

- Competitive compensation package (?1540 LPA).

- Collaborative and innovation-driven work culture.

- Exposure to real-world applications of AI/ML across industries.


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