Data Scientist

Job Description Job Description Job Title: Data Scientist / Senior Data Scientist Locations: Chennai | Hyderabad | Bangalore Notice Period: Immediate / Less than 15 days Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role What your typical day would look like We are seeking a highly skilled Data Scientist with experience in Forecasting to join our team. The ideal candidate will have a strong background in statistical forecasting, machine learning, and data analysis, with a proven ability to develop, deploy, and maintain scalable forecasting models. This role requires extensive experience working with large datasets, and proficiency in PySpark is essential for our big data environment. Key Responsibilities - Forecasting & Modeling: Design, build, and deploy end-to-end forecasting models using statistical and machine learning techniques (e.g., ARIMA, Prophet, deep learning models, XGBoost). - Big Data Processing: Utilize PySpark to process, clean, and engineer features from massive, distributed datasets. - Data Analysis & Insights: Analyze large-scale datasets to identify trends, seasonality, and key drivers. Translate complex analytical findings into clear, actionable business insights for stakeholders. - Pipeline & MLOps: Develop and maintain automated data and forecasting pipelines in a production environment. Implement best practices for model monitoring, version control (e.g., Git), and model performance tracking. - Collaboration: Work closely with cross-functional teams, including data engineering, business intelligence, and business leaders, to understand requirements and ensure solutions align with business goals. - Communication: Present complex methodologies and results to both technical and non-technical audiences, influencing strategic decisions with data-driven recommendations. - Research & Development: Stay up-to-date on industry trends and advancements in forecasting methodologies and tools. Propose and implement innovative solutions to improve forecast accuracy and efficiency. What do we expect Qualifications - Experience: 5+ years of professional experience in a data science, forecasting, or advanced analytics role. - Education: A bachelors or masters degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is required. Technical Skills: - Expertise in Python with a deep understanding of relevant libraries (e.g., scikit-learn, statsmodels, Prophet, PyTorch/TensorFlow). - Proven proficiency with PySpark for large-scale data manipulation and model building. - Strong knowledge of SQL for data extraction and analysis. - Experience with Azure cloud platform & Data Bricks Soft Skills: - Excellent problem-solving and analytical skills. - Strong communication and storytelling abilities to convey complex ideas. - Ability to work both independently and collaboratively in a fast-paced environment. - A proactive and adaptable mindset, with a continuous learning approach. You are important to us, let's stay connected Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.