HCLTech · 7 hours ago
Data Scientist
HCLTech is one of the fastest-growing large tech companies in the world, and they are seeking a highly talented and self-motivated Data Scientist to advance technological innovation. The role involves data analysis, building machine learning models, and collaborating with cross-functional teams to provide data-driven insights for business strategies.
Responsibilities
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
Qualification
Required
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, NumPy, 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
Preferred
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
Benefits
Health insurance
Paid time off (PTO)
401(K)
Company
HCLTech
HCLTech is a global IT company offering digital, engineering, and cloud solutions partnering with businesses for transformation.
H1B Sponsorship
HCLTech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2975)
2024 (3974)
2023 (3649)
2022 (3861)
2021 (4093)
2020 (4317)
Funding
Current Stage
Public CompanyTotal Funding
$220MKey Investors
ChrysCapital
2008-07-10Post Ipo Equity· $220M
2000-01-06IPO
Leadership Team
Recent News
2026-02-07
2026-02-07
Company data provided by crunchbase