🏢 Company Overview:
Ascendion is a leading global technology solutions provider delivering advanced digital engineering, AI-driven innovation, and enterprise transformation services. With a strong focus on data-driven decision-making, Ascendion partners with top organizations worldwide to build intelligent, scalable, and future-ready solutions. Our culture encourages innovation, continuous learning, and technical excellence—making it the perfect place for high-level data science professionals to thrive.
💼 Job Details:
- Employment type: Full Time
- Experience: 6 to 8 Years
- Salary: ₹65,000 – ₹85,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Ascendion is seeking a highly experienced Senior Data Scientist to lead complex data analytics initiatives and drive high-impact business insights. The ideal candidate will be responsible for developing predictive models, building advanced machine learning solutions, and collaborating with cross-functional teams to create data-driven strategies. This role requires strong analytical thinking, hands-on experience with large datasets, and expertise in modern data science tools and methodologies.
🔑 Key Responsibilities:
- Lead end-to-end development of data science models, from data preprocessing to deployment
- Build predictive and machine learning models using advanced statistical techniques
- Analyze large datasets to derive meaningful insights for business decision-making
- Work with engineering teams to integrate data models into production environments
- Present findings, insights, and recommendations to stakeholders
- Stay updated with the latest advancements in AI, ML, and data science technologies
- Mentor junior data scientists and contribute to building a strong analytics culture
🛠️ Required Skills & Qualifications:
- Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, or related field
- Proven experience in machine learning, AI, data modelling, and statistical analysis
- Proficiency in Python, R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Strong understanding of data visualization tools such as Power BI or Tableau
- Experience working with cloud platforms like AWS, Azure, or Google Cloud
- Excellent problem-solving, communication, and leadership skills
- Ability to work independently and manage complex projects
🌟 Benefits:
- Opportunity to work on impactful AI and data science projects
- Professional growth and continuous learning environment
- Collaborative team culture that values innovation
- Exposure to global clients and advanced technologies
