Hudson Data
https://hudsondata.comAbout
Connect with the team
Company social profiles
Jobs at Hudson Data
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
Google AnalyticsAbout Hudson Data
At Hudson Data, we view AI as both an art and a science. Our cross-functional teams — spanning business leaders, data scientists, and engineers — blend AI/ML and Big Data technologies to solve real-world business challenges. We harness predictive analytics to uncover new revenue opportunities, optimize operational efficiency, and enable data-driven transformation for our clients.
Beyond traditional AI/ML consulting, we actively collaborate with academic and industry partners to stay at the forefront of innovation. Alongside delivering projects for Fortune 500 clients, we also develop proprietary AI/ML products addressing diverse industry challenges.
Headquartered in New Delhi, India, with an office in New York, USA, Hudson Data operates globally, driving excellence in data science, analytics, and artificial intelligence.
⸻
About the Role
We are seeking a Data Analyst & Modeling Specialist with a passion for leveraging AI, machine learning, and cloud analytics to improve business processes, enhance decision-making, and drive innovation. You’ll play a key role in transforming raw data into insights, building predictive models, and delivering data-driven strategies that have real business impact.
⸻
Key Responsibilities
1. Data Collection & Management
• Gather and integrate data from multiple sources including databases, APIs, spreadsheets, and cloud warehouses.
• Design and maintain ETL pipelines ensuring data accuracy, scalability, and availability.
• Utilize any major cloud platform (Google Cloud, AWS, or Azure) for data storage, processing, and analytics workflows.
• Collaborate with engineering teams to define data governance, lineage, and security standards.
2. Data Cleaning & Preprocessing
• Clean, transform, and organize large datasets using Python (pandas, NumPy) and SQL.
• Handle missing data, duplicates, and outliers while ensuring consistency and quality.
• Automate data preparation using Linux scripting, Airflow, or cloud-native schedulers.
3. Data Analysis & Insights
• Perform exploratory data analysis (EDA) to identify key trends, correlations, and drivers.
• Apply statistical techniques such as regression, time-series analysis, and hypothesis testing.
• Use Excel (including pivot tables) and BI tools (Tableau, Power BI, Looker, or Google Data Studio) to develop insightful reports and dashboards.
• Present findings and recommendations to cross-functional stakeholders in a clear and actionable manner.
4. Predictive Modeling & Machine Learning
• Build and optimize predictive and classification models using scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and H2O.ai.
• Perform feature engineering, model tuning, and cross-validation for performance optimization.
• Deploy and manage ML models using Vertex AI (GCP), AWS SageMaker, or Azure ML Studio.
• Continuously monitor, evaluate, and retrain models to ensure business relevance.
5. Reporting & Visualization
• Develop interactive dashboards and automated reports for performance tracking.
• Use pivot tables, KPIs, and data visualizations to simplify complex analytical findings.
• Communicate insights effectively through clear data storytelling.
6. Collaboration & Communication
• Partner with business, engineering, and product teams to define analytical goals and success metrics.
• Translate complex data and model results into actionable insights for decision-makers.
• Advocate for data-driven culture and support data literacy across teams.
7. Continuous Improvement & Innovation
• Stay current with emerging trends in AI, ML, data visualization, and cloud technologies.
• Identify opportunities for process optimization, automation, and innovation.
• Contribute to internal R&D and AI product development initiatives.
⸻
Required Skills & Qualifications
Technical Skills
• Programming: Proficient in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, H2O.ai).
• Databases & Querying: Advanced SQL skills; experience with BigQuery, Redshift, or Azure Synapse is a plus.
• Cloud Expertise: Hands-on experience with one or more major platforms — Google Cloud, AWS, or Azure.
• Visualization & Reporting: Skilled in Tableau, Power BI, Looker, or Excel (pivot tables, data modeling).
• Data Engineering: Familiarity with ETL tools (Airflow, dbt, or similar).
• Operating Systems: Strong proficiency with Linux/Unix for scripting and automation.
Soft Skills
• Strong analytical, problem-solving, and critical-thinking abilities.
• Excellent communication and presentation skills, including data storytelling.
• Curiosity and creativity in exploring and interpreting data.
• Collaborative mindset, capable of working in cross-functional and fast-paced environments.
⸻
Education & Certifications
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Master’s degree in Data Analytics, Machine Learning, or Business Intelligence preferred.
• Relevant certifications are highly valued:
• Google Cloud Professional Data Engineer
• AWS Certified Data Analytics – Specialty
• Microsoft Certified: Azure Data Scientist Associate
• TensorFlow Developer Certificate
⸻
Why Join Hudson Data
At Hudson Data, you’ll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools — from AI and ML frameworks to cloud-based analytics platforms — to solve meaningful problems. You’ll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data AnalyticsAbout the Role
Hudson Data is looking for a Senior / Mid-Level SQL Engineer to design, build, optimize, and manage our data platforms. This role requires strong hands-on expertise in SQL, Google Cloud Platform (GCP), and Linux to support high-performance, scalable data solutions.
We are also hiring Python Programers / Software Developers / Front end and Back End Engineers
Key Responsibilities:
1.Develop and optimize complex SQL queries, views, and stored procedures
- Build and maintain data pipelines and ETL workflows on GCP (e.g., BigQuery, Cloud SQL)
- Manage database performance, monitoring, and troubleshooting
- Work extensively in Linux environments for deployments and automation
- Partner with data, product, and engineering teams on data initiatives
Required Skills & Qualifications
Must-Have Skills (Essential)
- Expert GCP mandatory
- Strong Linux / shell scripting mandatory
Nice to Have
- Experience with data warehousing and ETL frameworks
- Python / scripting for automation
- Performance tuning and query optimization experience
Soft Skills
- Strong analytical, problem-solving, and critical-thinking abilities.
- Excellent communication and presentation skills, including data storytelling.
- Curiosity and creativity in exploring and interpreting data.
- Collaborative mindset, capable of working in cross-functional and fast-paced environments.
Education & Certifications
- Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Masters degree in Data Analytics, Machine Learning, or Business Intelligence preferred.
⸻
Why Join Hudson Data
At Hudson Data, youll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools from AI and ML frameworks to cloud-based analytics platforms to solve meaningful problems. Youll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.
Similar companies
About the company
Founded in 2004, Inteliment helps some of the most forward-thinking enterprises worldwide derive maximum business impact through their Data. With 20+ years in analytics, we help businesses harness deep expertise and the latest technologies to drive innovation, sharpen their competitive edge, and stay future-ready.
Inteliment is recognized as a leading provider of Data Driven Analytical Solutions & Services in Visual & Predictive Analytics, Data Science, IoT, Mobility & Artificial Intelligence areas. We strive for the success of our customers through Innovation, Technology and Partnerships.
Inteliment operates its Delivery & IP Centers in India and Australia and through its group companies in Singapore, Finland and USA.
Jobs
0
About the company
At Zobaze, we're not just developing apps; we're crafting the future of SMEs worldwide. Our quest to become the premier business utility app drives us to deliver revolutionary solutions like Zobaze POS and Restokeep. These tools don't just manage business—they propel it, enabling owners to monitor everything from sales to staff performance with unparalleled ease and efficiency.
With a remarkable footprint spanning 192 countries and over 2.5+ million downloads, our apps have already generated 140+ million receipts, evidencing our substantial global impact.
As a 100% bootstrapped company, our journey from inception to cash-positive operations exemplifies our dedication and resilience. We stand as a beacon of innovation and sustainability in the SME sector.
🤑 Funding
We are proud to be cash flow positive and have not yet tapped into VC funding, setting us apart from 99% of startups. This financial stability allows us to invest in our team's growth through a robust ESOP pool.
Securing funding will further accelerate our growth. Joining our team now offers a unique opportunity to create significant value, especially before our fundraising efforts take off.
⚠️ Before you apply
If you're looking for a standard 9-5 job, we are not a match. However, if you seek an exceptional learning curve, exposure to multiple verticals, and the opportunity to help establish processes that will propel our growth, we encourage you to apply. Our journey is dynamic, requiring flexibility and adaptability to changing needs.
Jobs
2
About the company
Why Explore a Career at Voiceoc:
1) Be a part of the process of scaling a young startup to a global company.
2) Work directly with co-founders & take up challenging tasks daily that would uplift your own persona.
3) Work on exciting projects of global leading companies
4) Competitive salary & perks.
5) Flexible work schedule & complete ownership of responsibilities.
6) A cool working environment that will make each day at Voiceoc full of fun & new learning.
Jobs
5
About the company
Tarento is a unique blend of Nordic efficiency and Indian technological depth, operating from offices in Sweden, Finland, Norway, and India. With its largest technology hub in Bangalore and strong consulting and data management capabilities in Finland, the company helps organisations navigate digital transformation with no-hassle, high-quality services across enterprise applications, data & information management, and custom engineering solutions.
Founded in 2009 and strengthened through strategic milestones—including becoming part of the Acando Group and acquiring Finnish data management consultancy DATPRO—Tarento has built a comprehensive capability stack that bridges technology and business. Today, the company supports clients across the Nordics and India, solving core business challenges through a powerful combination of advanced technology skills, deep data expertise, and reliable long-term application management services.
Jobs
2
About the company
Bits In Glass (BIG) is an award-winning software consulting firm that helps organizations improve operations and drive better customer experiences. They specialize in business process automation consulting, helping clients unlock the potential of their people, processes, and data.
Jobs
3
About the company
Jobs
14
About the company
Jobs
5
About the company
Albert Invent is a cutting-edge R&D software company that’s built by scientists, for scientists. Their cloud-based platform unifies lab data, digitises workflows and uses AI/ML to help materials and chemical R&D teams invent faster and smarter. With thousands of researchers in 30+ countries already using the platform, Albert Invent is helping transform how chemistry-led companies go from idea to product.
What sets them apart: built specifically for chemistry and materials science (not generic SaaS), with deep integrations (ELN, LIMS, AI/ML) and enterprise-grade security and compliance.
Jobs
6
About the company
Jobs
5
About the company
Jobs
2
