🏢 Company Overview:
Recro is a forward-thinking technology company specializing in data-driven solutions and advanced analytics. The company leverages cutting-edge tools and methodologies to help businesses make informed decisions, optimize processes, and drive growth. Recro fosters a collaborative and innovative work environment that encourages professional development and continuous learning.
💼 Job Details:
- Employment type: Full Time
- Experience: 3+ Years
- Salary: ₹35,000 – ₹45,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Recro is seeking an experienced Senior Data Scientist to analyze complex datasets, develop predictive models, and provide actionable insights to support business strategies. The ideal candidate will have strong analytical skills, proficiency in statistical modeling, and hands-on experience with machine learning algorithms.
🔑 Key Responsibilities:
- Design, implement, and optimize predictive models and algorithms
- Analyze large and complex datasets to identify trends and patterns
- Collaborate with cross-functional teams to translate business needs into data solutions
- Develop dashboards, visualizations, and reports for data-driven decision-making
- Monitor model performance and make necessary adjustments
- Mentor junior data scientists and analysts
- Stay up-to-date with the latest developments in data science and AI
🛠️ Required Skills & Qualifications:
- Strong experience with Python, R, or similar programming languages
- Proficiency in machine learning algorithms, statistical modeling, and data mining
- Experience with SQL, NoSQL, and data visualization tools (Tableau, Power BI, etc.)
- Solid understanding of data preprocessing, feature engineering, and model evaluation
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field
🌟 Benefits:
- Opportunity to work on high-impact, data-driven projects
- Collaborative and innovative work environment
- Professional growth and skill development opportunities
- Flexible work arrangements
