Data Scientist

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 220,000 people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. ()

The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you ll thrive in, then you re in the right place.

We are looking for a highly talented and self- motivated Data Scientist to join us on our journey in advancing the technological world through innovation and creativity.

• Data Analysis & Statistical Modeling
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
• Apply statistical methods to analyze data, validate hypotheses, and support business decisions.
• Build, evaluate, and deploy machine learning models to solve business problems.
• Design and analyze experiments (e.g., A/B tests) to measure the impact of changes and new features.
• Build and Maintain Data Solutions
• Develop robust, scalable, and automated data pipelines for data ingestion, processing, and transformation.
• Ensure data integrity, consistency, and availability for downstream analytics and modeling.
• Oversee the health and performance of existing data solutions and services.
• Design and implement automated monitoring and alerting for data pipelines, model performance, and service reliability.
• Ensure rapid detection and resolution of data or service anomalies.
• Participate in on-call rotations to ensure the reliability and availability of data solutions and services.
• Data Visualizations and Reports
• Create clear, compelling visualizations and dashboards to communicate findings to stakeholders.
• Prepare reports and presentations to summarize analysis, model results, and recommendations.
• Collaborate with Cross-Functional Teams
• Work closely with stakeholders, engineers, and product teams to identify business challenges and opportunities.
• Translate business requirements into technical solutions using data science and machine learning.
• Influence Strategy
• Provide data-driven insights and recommendations to inform short- and long-term business strategy.
• Advocate for best practices in data science, analytics, and model deployment.

• Bachelor’s degree in Computer Science or a related technical field.
• Experience in data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis.
• Proficiency in Python for data analysis, including experience with libraries such as pandas, Num Py, and matplotlib/seaborn.
• Strong experience with SQL and data visualization tools (e.g., Tableau, Power BI, etc.).
• Hands-on experience building, deploying, and maintaining data pipelines and machine learning models in production environments.
• Proficient with version control systems such as Git, including branching, committing, and pull requests.
• Experience designing and analyzing experiments (e.g., A/B testing) to measure impact and validate hypotheses.

• Previous experience working in the Meta development environment.
• Experience with service monitoring, anomaly detection, and automated alerting for data and ML solutions.
• Strong understanding of predictive analytics, statistical modeling, and machine learning algorithms (e.g., linear regression, clustering, decision trees, etc.).
• Experience with building and automating scalable data pipelines for data ingestion, processing, and transformation.
• Ability to create compelling data visualizations and dashboards to communicate findings to stakeholders.
• Excellent communication and collaboration skills, with experience working in cross-functional teams.

In addition, this position qualifies for benefits like health insurance, paid time off (PTO), 401(K). Exact compensation may vary based on skills,…