Sr. Data Scientist

4 days ago

Delhi, India Hyper Lychee Labs Full time

Company Description Hyper Lychee Labs is a dynamic IT services and consulting company delivering innovative solutions to a diverse client base, including Fortune 500 companies, leading startups, and government entities. We specialize in harnessing the power of technology to transform businesses and industries while fostering meaningful societal impact. With a team of talented and passionate professionals, we collaborate closely with clients to create custom software, implement complex systems, and provide strategic consulting tailored to their unique needs. Our company is driven by a strong commitment to transparency, accountability, and inclusivity, fostering a culture that values creativity and diverse perspectives to deliver exceptional results. Join us and become part of our mission to empower organizations to thrive in an ever-evolving world. Role Description This is a 6 months contract-based, onsite -Riyad based role for a Senior Data Scientist. The Sr. Data Scientist will focus on designing and implementing advanced data models and algorithms to address complex business challenges. The role involves Statistical modeling, ML, data analysis, data visualization, and extracting actionable insights from large datasets. Collaborating with cross-functional teams, the Sr. Data Scientist will develop predictive models and machine learning algorithms, as well as communicate results and strategic recommendations to stakeholders. This position provides an opportunity to work on cutting-edge projects and drive impactful outcomes. Qualifications Proficiency in Data Science, including machine learning and predictive modeling Strong knowledge of Statistics and advanced statistical modeling Expertise in Data Analytics and Data Analysis for informed decision-making Skills in Data Visualization for effectively presenting insights and findings Proficiency with data science tools and programming languages such as SAS, SQL. · Must have solid coding experience with Base SAS, SAS Enterprise Guide, SAS E-Miner or SAS Vaya etc. ·Should be able to handle large datasets using SAS PROC & DATA procedures with effective data transformation, aggregation, developing views using data & SQL. Ability to work remotely and independently with excellent time-management skills Master's or PhD in Data Science, Statistics, Computer Science, or a related field is strongly preferred Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and big data tools (e.g., Hadoop, Spark) is a plus

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