Business Development Executive

Key Responsibilities

• Assist in facade and steel structure design under senior supervision.
• Prepare 2D CAD drawings for shop drawings, layouts, and material schedules.
• Support in creating facade tender packages and system details.
• Coordinate with architects, clients, engineers, and project leads.
• Participate in design meetings and provide basic engineering inputs.
• Track drawing submissions and maintain documentation/version control.
• Help resolve design challenges and ensure timely project deliverables.

Skills & Qualifications

• Degree/Diploma in Mechanical, Civil, Structural Engineering, or Building Design.
• Basic knowledge of AutoCAD or similar drafting tools.
• Familiarity with Rhino/SketchUp, Grasshopper/Python is a plus.
• Willingness to learn BIM tools.
• Understanding of materials like steel, aluminum, glass.
• Strong problem-solving skills, attention to detail, and communication abilities.

About 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.

Hubstream:

Hubstream is a fast-growing startup software company with headquarters located near Seattle, Washington, USA, and having Development & Research Center in Chennai. Our software is currently used by the world's largest law enforcement agencies and large enterprises. We help countries, companies, and nonprofits keep people and property safe. Our investigation and crime analytics intelligence software put thoughtful, innovative tools in the hands of people whose passion is to identify and rescue victims or improve their business operations. We have experienced leaders who have grown Hubstream into a world market leader in online child protection. We're quickly expanding to various domains such as Brand Protection, Trademark, Trust and Safety, Cybercrime, etc.

Responsibilities:

We are looking for an experienced developer(s) who has excellent communication skills, interested in interacting with Customers across the globe and helping to solve issues, is self-motivated, looking for a challenge, can see the bigger picture, and takes responsibility. Here are some of the responsibilities.

• Design, develop, and deploy highly scalable secure Web applications and Web Jobs

• Design, develop, test, and deploy backend applications using Microsoft technologies.

• Establish and maintain high coding standards in design and development.

• Ability to take a leadership role thereby mentoring and coaching junior developers as the team grows

Required Candidate Profile:

• B.E/ME/MTech/MCA in Computer Science or related field or equivalent experience

• Demonstrated ability to work on a distributed or remote team is highly preferred.

• Ability to learn and grasp concepts quickly in a fast-paced environment.

• Proven problem-solving, design, and testing skills.

• Excellent collaboration skills and the ability to be adaptable and agile in development.

• Ability to be self-directed and work with minimal supervision. 

6+ years’ experience in Azure architecture, Azure Data Services, design and development. Significant experience as DW architect on several initiatives. • Rich Data/Dimensional modeling expertise • Expert knowledge of Azure tools and services centered around data and analytics (Azure Synapse, Data Lake, Data Factory etc.) • Experience designing and building complete ETL processes moving and transforming data from ODS, Staging and Data Warehousing, cloud and hybrid. Education and Experience: • Bachelor’s Degree in computer science or related field required. • 10 or more years’ experience managing and designing systems in an enterprise infrastructure environment required.

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, Statistics or a relevant field

Roles & Responsibilities:

• Expertise in the over-all development cycle and strong technical experience
• Strong Java programming, architecture, DevOps and QA chops.
• Wide experience working with a diverse engineering stack in a fast-paced environment.
• Create and lead a team of engineers and drive development efforts for various products.
• Lead a team
• Code and Architect key features that form the backbone of platform
• Conduct performance reviews and mentor and guide the team reporting
• Excellent communication and inter-personal skills

If the above mentioned requirement matches your profiles and if you are interested, please apply here

The District Sales Manager will oversee sales activities within a defined territory and manage sales representatives and distributors.

• Trains sales representatives and distributors in assigned territory.
• Organizes sales schedules of assigned staff.
• To act like a bridge between the company and distributor with providing stock reports and product inventories.
• Conducts performance evaluations that are timely and constructive.
• Handles disciplinary action against employees as needed and in accordance with company policy.
• Mostly to coordinate with Sales executives from his assigned district.
• Sales the company’s products in an assigned territory.
• Monitors existing accounts and regularly communicates with primary contacts for the account.
• Works to establish new accounts in the territory.
• Works toward increasing sales growth in the territory at an established rate determined by Company.
• To provide map coordinates and beat plans.
• Performs other related duties as assigned.

• Ability to build and maintain business relationships with clients.
• Excellent verbal and written communication skills.
• Excellent management and leadership skills.
• Excellent time management skills.
• Ability to multitask and complete work while traveling.
• Thorough knowledge of territory, market, and clients.
• Excellent problem-solving skills.
• Proficient in Microsoft Office Suite or related software.
• Organized with attention to detail.

• Bachelor’s degree in any domain.
• 3-4 years of core field sales/ marketing experience required.

• Overall 9-16 years of experience.
• Minimum 7 years of strong consumer internet related Product and 2 years in fintech.
• Management background preferably in eCommerce /Technology/ Fintech / Banking industry.
• Understanding & having gone through the pain of what it takes to build a great product
• Passion for Results: High degree of commitment with bias for execution excellence.
• Excellent academic background and records.
• Extra-ordinary skills in crisis management, inter-personal communication, collaboration and team work.
• Master of multiple tasking.
• Takes on initiatives and challenges.
• In short, we are looking for superstar leader to join a superstar team.