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
We are Proximity - a global team of coders, designers, product managers, geeks and experts. We solve hard, long-term engineering problems and build cutting edge tech products.
About us
Born in 2019, Proximity Works is a global, fully distributed tech firm headquartered in San Francisco - with hubs across Mumbai, Dubai, Toronto, Stockholm, and Bengaluru. We’re in the business of solving high-stakes engineering challenges with AI-powered solutions tailored for industries like sports, media & entertainment, fintech, and enterprise platforms. From real-time game analytics and ticketing workflows to creative content generation, we help build software that serves millions every day.
About the Founders
At the helm is Hardik Jagda, CEO - a technologist with a startup DNA who brings clarity to complexity and a passion for building delightful experiences.
Milestones & Impact
- Trusted by some of the world’s biggest players - from major media & entertainment giants to one of the world’s largest cricket websites and the second-largest stock exchange in the world.
- Delivered game-changing tech: slashing content creation by 90%, doubling performance metrics for NASDAQ clients, and accelerating speed/performance wins for platforms like Dream11.
Culture & Why It Matters
- Fully distributed and flexible: work 100% remotely, design your own schedule, build habits that work for you and not the other way around.
- People-first culture: Community events, “Proxonaut battles,” monthly off-sites, and a liberal referral policy keep us connected even when we’re apart.
- High-trust environment: autonomy is encouraged. You’re empowered to act, learn fast, and iterate boldly. We know great work comes when talented people have space to think and create.
Jobs
6
About the company
Baker Street Fintech (Product Name: Cambridge Wealth) is a Financial Products Company. We help build world-class Fintech Products for our Clients who want to manage their wealth on our platform. Founded by professionals with Experiences spanning from PwC UK to Banking and Technology firms, we are a financially stable, profitable company growing quickly!
Jobs
0
About the company
Jobs
20
About the company
We are hiring for multiple clients
Jobs
3
About the company
Jobs
0
About the company
At IndiDino, we are building Bharat-focused products for a billion people with the goal of creating a net positive impact. We are driven by a simple mission — to create meaningful products that solve real problems at scale and improve the lives of people across India. By combining innovation, technology, and a deep understanding of Bharat, we aim to build solutions that empower communities and create lasting value.
Jobs
1
About the company
Jobs
4
About the company
Jobs
196
About the company
Kris replaces fragmented outbound with one intelligent sales window. Signal-based prospecting, prioritization & outreach. 15× more qualified meetings at 1/3 the cost.
Jobs
1
