Data Scientist Job in Linarc

Job Title: Data Scientist

Location: Bengaluru

Experience: 4+ Years

About Linarc:

Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control.

Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru.

Roles and Responsibilities:

Data Analysis & Modeling:

• Develop and implement machine learning models to address complex business problems.
• Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes.
• Conduct statistical analysis and hypothesis testing to uncover key insights and trends.

Data Engineering & Processing:

• Clean, preprocess, and transform large-scale datasets from multiple sources.
• Design and optimize data pipelines for both real-time and batch processing.

Business Insights & Reporting:

• Collaborate with business teams to define key performance indicators (KPIs).
• Develop dashboards and reports to effectively communicate findings and business performance.
• Present actionable insights and recommendations to stakeholders and leadership teams.

Product Improvement:

• Partner with product managers to integrate data-driven insights into product features.
• Monitor model performance and continuously improve accuracy and scalability.
• Run A/B tests to evaluate the impact of product changes and optimize user experience.

Research & Development:

• Stay updated with the latest developments in machine learning, artificial intelligence, and data science.
• Explore and implement new techniques and tools to drive innovative solutions and improve outcomes.

Qualifications:

• Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning.
• Technical Expertise:
  • Deep analytical expertise in applying statistical solutions to business problems.
  • Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar.
  • Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc.
  • Experience working with visualization tools such as Tableau and Power BI.
• Business & Innovation:
  • Demonstrated ability to innovate solutions and solve business problems using data science techniques.

Desirable Additional Experience:

• 4+ years of experience in data science or machine learning in a product-focused environment.
• Experience working with relational or document databases.
• Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js.
• Strong knowledge of hypothesis testing and regression analysis.
• Experience in a SaaS product environment.

Educational Qualifications:

• Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.