Data Scientist

Role : Data Scientist

Experience : 6+ Years

Location : HYD (WFO)

Mandatory Skills : Python, Machine Learning Frameworks(e.g., TensorFlow, PyTorch is a plus), SQL, data visualization tools.

JD : Role Overview :

We are looking for a skilled Data Scientist with3 –6 years of experience who can turn data into actionable insights using machine learning, statistical analysis, and data modeling techniques. The candidate will work closely with cross-functional teams to solve business problems using data and analytics. This is an onsite role in Hyderabad with working hours from 2 : 00 PM to 11 : 00 PM IST.

Key Responsibilities :

Analyze large datasets to extract insights, build predictive models, and support data-driven decisions.

Design and implement machine learning algorithms for classification, regression, clustering, and recommendation systems.

Work with structured and unstructured data, performing data cleaning, preprocessing, and feature engineering.

Present findings clearly using data visualizations and dashboards (e.g., Power BI, Tableau, or Matplotlib / Seaborn).

Collaborate with engineering and product teams to deploy models into production.

Continuously improve models based on performance metrics and feedback.

Required Skills & Qualifications :

3–6 years of experience in data science, analytics, or applied machine learning.

Strong programming skills in Python (pandas, scikit-learn, NumPy, etc.).

Experience with machine learning frameworks (e.g., TensorFlow, PyTorch is a plus).

Proficient in working with SQL and relational databases.

Experience in data visualization tools like Tableau, Power BI, or libraries like Plotly / Matplotlib.

Understanding of statistical techniques and hypothesis testing.

Experience with cloud platforms (AWS / GCP / Azure) is a plus.

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.

Other Details :

Work Location : Hyderabad (Onsite only)

Working Hours : 2 : 00 PM – 11 : 00 PM IST

Remote Option : Not available