Lead Machine Learning Scientist

You are ready to create an impact with a fast-growing B2B SaaS product company and change the face of enterprise analytics. Taglynk is looking for a talented Senior Data Scientist to help discover hidden insights within vast amounts of data and build high-quality prediction systems. Role Overview: - Position: Senior Data Scientist - Location: Bangalore (Full-time) - Industry: AI-Native Enterprise SaaS Key Responsibilities: - Problem Solving & Solution Design: Structure complex business problems and design sophisticated analytical frameworks that drive client value. - Advanced Forecasting: Apply statistical forecasting algorithms to address both short-term and long-term client business horizons. - Machine Learning & Deep Learning: Explore and implement ML/DL techniques to continuously improve statistical forecasting accuracy. - Data Integration: Develop and implement analytical methodologies that integrate diverse information solutions and generate actionable insights. - Data Storytelling: Translate complex statistics into a compelling business narrative using data visualization techniques to present insights to stakeholders. Qualifications Required: - Experience: At least 3+ years of hands-on experience as a Data Scientist. - Technical Skills: Strong proficiency in SQL and Python. Hands-on experience with visualization tools like Tableau is a plus. - Core Expertise: Proven exposure to developing predictive analytics and machine learning algorithms for real-world business applications. - Bonus Points: Strong experience in Statistical Forecasting and Deep Learning. - Education: B.Tech/B.E. or an equivalent degree in Data Science, Statistics, Computer Science, or a related field. You are ready to create an impact with a fast-growing B2B SaaS product company and change the face of enterprise analytics. Taglynk is looking for a talented Senior Data Scientist to help discover hidden insights within vast amounts of data and build high-quality prediction systems. Role Overview: - Position: Senior Data Scientist - Location: Bangalore (Full-time) - Industry: AI-Native Enterprise SaaS Key Responsibilities: - Problem Solving & Solution Design: Structure complex business problems and design sophisticated analytical frameworks that drive client value. - Advanced Forecasting: Apply statistical forecasting algorithms to address both short-term and long-term client business horizons. - Machine Learning & Deep Learning: Explore and implement ML/DL techniques to continuously improve statistical forecasting accuracy. - Data Integration: Develop and implement analytical methodologies that integrate diverse information solutions and generate actionable insights. - Data Storytelling: Translate complex statistics into a compelling business narrative using data visualization techniques to present insights to stakeholders. Qualifications Required: - Experience: At least 3+ years of hands-on experience as a Data Scientist. - Technical Skills: Strong proficiency in SQL and Python. Hands-on experience with visualization tools like Tableau is a plus. - Core Expertise: Proven exposure to developing predictive analytics and machine learning algorithms for real-world business applications. - Bonus Points: Strong experience in Statistical Forecasting and Deep Learning. - Education: B.Tech/B.E. or an equivalent degree in Data Science, Statistics, Computer Science, or a related field.