Data Scientist – 3+ Years – India (Hybrid/Remote)
Summary:
Are you passionate about unlocking insights from data and driving business impact? We are looking for a dynamic Data Scientist to join a global organization, working on predictive modeling, statistical analysis, and cloud-based analytics. This is an exciting opportunity to leverage Python, SAS, SQL, and Azure Fabric while collaborating with cross-functional teams to deliver scalable, high-impact data solutions.
Location: India (Hybrid/Remote flexibility)
Responsibilities
- Design, develop, and deploy predictive models and analytical tools using Python, SAS, and SQL.
- Leverage Azure Fabric for scalable data processing and model deployment.
- Partner with data engineers, business analysts, and stakeholders to gather requirements and deliver actionable insights.
- Communicate analytical findings effectively to both technical and non-technical stakeholders.
Requirements
- Bachelor’s / Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
- 2–3 years of experience in data science, statistical modeling, or analytics.
- Strong technical skills in Python, SAS, SQL, Azure Fabric, and ML techniques.
- Familiarity with visualization tools such as Power BI or Tableau.
- Strong problem-solving skills, analytical thinking, and excellent communication abilities.
What’s in it for you?
- Opportunity to work on advanced data science projects in a global organization.
- Exposure to cloud-based analytics and scalable ML deployment.
- Collaborative and growth-driven environment.
- Competitive compensation and career development opportunities.
📩 Reach us: If you feel this opportunity aligns with your career goals, please share your updated profile at abhishek.jindal@crescendogroup.in
Disclaimer: Crescendo Global specializes in senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging, memorable job search and leadership hiring experience. We do not discriminate on the basis of race, religion, color, gender, origin, sexual orientation, age, marital status, veteran status, or disability status.
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