Data Scientist

Job description Job Description: Data Scientist No of openings 2 Mode of working – Remote Position Overview We are looking for a skilled and driven Data Scientist with 5-7 years of experience in data analysis and predictive modeling. The ideal candidate will have a strong technical foundation, analytical problem-solving skills, and the ability to translate complex data insights into actionable business strategies. Key Responsibilities • Analyze large and complex datasets to uncover meaningful patterns, trends, and insights. • Build, deploy, and validate predictive models, leveraging machine learning techniques and deep learning frameworks. • Develop and implement Generative AI models to solve business challenges. • Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. • Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. • Collaborate with cross-functional teams to generate actionable insights that support business decision-making. • Create clear and impactful data visualizations to communicate findings to both technical and non-technical stakeholders. • Continuously monitor and improve model performance using optimization techniques. • Stay up-to-date with advancements in data science, machine learning, and AI technologies. Required Skills and Qualifications • Experience: 5-7 years of hands-on experience in data analysis, predictive modeling, and advanced analytics. • Technical Proficiency: o Strong programming skills in Python, R, and SQL. o In-depth knowledge of machine learning techniques, deep learning frameworks, and Generative AI. o Proficiency in data handling, pre-processing, exploratory data analysis (EDA), feature engineering (FE), and optimization techniques. • Analytical Skills: o Strong problem-solving abilities and attention to detail. o Capability to derive actionable insights and present findings in a businessfriendly manner. • Communication: Excellent verbal and written communication skills to convey complex technical concepts effectively. • Tools & Technologies: Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, or Seaborn) is a plus. Educational Background • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. What We Offer • A collaborative and innovative work environment. • Opportunities to work on cutting-edge technologies, including Generative AI and advanced machine learning techniques. • Career growth and development opportunities through training and mentorship. If you are passionate about leveraging data to drive impactful business decisions and have a strong technical background, we would love to hear from you! read more Key Skills Skills highlighted with ‘‘ are preferred keyskills Rand SQLGenerative AI.machine learning techniquesPython deep learning