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Job Title: Data Scientist Location: Vadodara preferred or Remote Experience Level: Entry to Mid-level (0–5 years) Employment Type: Full-Time Job Summary: We are seeking a skilled and driven Data Scientist with experience in Big Data, Large Language Models (LLMs), data organization, data analytics and advanced Excel. The ideal candidate will have a strong analytical background, a passion for uncovering insights from complex datasets and the ability to communicate data-driven findings to technical and non-technical stakeholders. You will be instrumental in designing and implementing data solutions that empower business decision-making and innovation. Key Responsibilities: · Collect, clean and organize large and complex datasets from multiple sources. · Develop and deploy predictive models and machine learning algorithms, including applications involving LLMs (e.g., GPT, BERT). · Analyse structured and unstructured data to generate actionable insights for business strategies. · Collaborate with cross-functional teams to identify data-related opportunities and deliver data-driven solutions. · Build scalable data pipelines and contribute to data architecture best practices. · Design and maintain advanced Excel dashboards, models and reports to support various departments. · Apply statistical and data mining techniques to interpret and visualize trends, patterns and correlations. · Present findings clearly through reports, visualizations and presentations tailored to different audiences. · Stay current on emerging data technologies, tools and methodologies. Required Qualifications: · Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics or a related field. · 0 to 5 years of experience in a data science or analytics role. · Advanced skills in Microsoft Excel, including Power Query, pivot tables, VBA/macros and complex formulas. · Solid understanding of relational databases and SQL. · Strong communication and problem-solving skills. Preferred Qualifications: · Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Hive). · Experience with cloud platforms (e.g., AWS, Azure, GCP) for data processing and model deployment. · Working knowledge or experience with Large Language Models (LLMs) and NLP techniques. · Proficiency in Python, R, or other data science programming languages. · Expertise in data analytics, data visualization (e.g., Tableau, Power BI, matplotlib) and data wrangling. · Familiarity with MLOps and model lifecycle management. · Knowledge of version control tools such as Git. · Experience with APIs and integrating external data sources. Show more Show less
