Data Scientist

ASTIKA SOFTWARE TECHNOLOGIES PRIVATE LIMITED; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

ASTIKA SOFTWARE TECHNOLOGIES PRIVATE LIMITED is hiring a seasoned Data Scientist to analyze large datasets, develop predictive models, and deliver data-driven insights. The role involves cleaning diverse data, feature engineering, and building scalable ML solutions.

You will present results with visualizations using Tableau/Power BI and collaborate with engineering to deploy models into production, continuing improvement based on metrics.

Qualifications

• 6-10 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.
• Experience in Warehousing or Big Query (Mandatory)
• Understanding of statistical techniques and hypothesis testing.
• Experience with cloud platforms (AWS/GCP/Azure) is a plus.

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, pre processing, 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.

Skills

Python

SQL

Data cleaning

Feature engineering

Machine learning

Model deployment

Statistical analysis

Visualization

Cloud platforms

Education

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

Tools

TensorFlow

PyTorch

BigQuery

Tableau

Power BI

Plotly/Matplotlib

Job description

• 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, pre processing, 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.

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, pre processing, 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

• 6 - 10 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.
• Experience in Warehousing or Big Query (Mandatory)
• 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.