Staff/Senior Data Scientist - Python/R, SQL, EDA

Company Overview 

10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named as winner of the Best Tech Work Culture Timmy Award in Washington DC by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and even high-growth start-ups. But those are just facts. What makes us unique is that we have a true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well, while doing good and know how to balance the two. 
 

Role: 
As a Senior Data Scientist, you will be responsible for analyzing complex data sets to identify trends, develop insights, and support decision-making processes. You will utilize your expertise in Python or R, SQL, exploratory data analysis (EDA), feature engineering, and basic machine learning models to deliver actionable insights. You will work closely with cross-functional teams to drive insights, build models  and create data visualizations using tools like Tableau or Power BI  

Responsibilities: 

• Perform advanced exploratory data analysis (EDA) to uncover patterns, correlations, and actionable insights using large and complex datasets. 
• Design and implement robust feature engineering and selection techniques to optimize model accuracy and efficiency. 
• Formulate hypotheses and validate them through rigorous statistical testing and experimentation frameworks. 
• Develop, train, and optimise machine learning models (including supervised, unsupervised, and ensemble methods) for predictive and prescriptive analytics. 
• Write optimised SQL queries and leverage cloud-based data platforms (e.g., AWS Redshift, Snowflake, BigQuery) for data extraction and transformation. 
• Utilise Python (preferred) and R for data wrangling, modelling, and automation, incorporating libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow where applicable. 
• Create dynamic dashboards and interactive visualizations using modern BI tools (e.g., Power BI, Tableau) and consider integration with cloud services for scalability. 
• Document workflows, modelling approaches, and analytical findings clearly, ensuring reproducibility and compliance with organizational standards. 
• Communicate insights effectively to technical and non-technical stakeholders, using storytelling and visualization techniques to drive business decisions. 
• Collaborate cross-functionally with data engineers, ML engineers, and business teams to design end-to-end data solutions and deploy models into production environments. 
• Stay updated with emerging trends in AI/ML, big data technologies, and MLOps practices to continuously improve analytical capabilities. 

Requirements: 

• 07 Years of relevant experience in data analytics, machine learning, or related field. 
• Proficiency in Python (preferred) or R programming languages. 
• Strong SQL skills for data querying and transforming large datasets 
• Expertise in exploratory data analysis (EDA), feature engineering, and statistical modelling. 
• Hands-on experience with advanced machine learning algorithms and optimization techniques 
• Understanding of MLOps practices for model deployment and lifecycle management (preferred) 
• Strong analytical, problem-solving, and communication skills with the ability to work cross-functionally. 
• Proficiency in data visualization tools (Tableau, Power BI) and storytelling with data.
• Excellent communication and collaboration abilities.