Accounts Executive

Looking for a creative video editor to turn raw recordings (podcasts, talking‑head, screen shares) into engaging YouTube videos and short‑form clips. The role involves shaping clear narratives from founder recordings, adding motion graphics and simple info‑graphics, improving audio and visuals, and helping develop a consistent visual style for the channel.

The ideal candidate should have a strong storytelling sense, a keen eye for pacing, and a genuine creative mindset, not just technical editing skills. (they of course matter) You should be comfortable working with feedback, iterating quickly on drafts, and collaborating on how each video communicates ideas in technology, startups, and AI in a simple, compelling way.

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.

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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.

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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.

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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.

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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

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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.

Remote Job Opportunity

Job Title: Data Scientist

Contract Duration: 6 months+

Location: offshore India

Work Time: 3 pm to 12 am

Must have 4+ Years of relevant experience.

Job Summary:

We are seeking an AI Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling to design, develop, and deploy cutting-edge AI solutions.

The ideal candidate will have expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques. You will work on high-impact projects, from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI.

Key Responsibilities:

Research, design, and implement machine learning and deep learning models for predictive and generative AI applications.

Apply advanced statistical methods to improve model robustness and interpretability.

Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.

Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation.

Work closely with ML engineers to validate, train, and deploy the models.

Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions.

Qualifications & Skills:

Education: PhD or Master's degree in Statistics, Mathematics, Computer Science, or a related field.

Experience:

4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.

Proficiency in SQL, Python and visualization tools ( Power BI).

Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries

Strong communication skills to interact effectively with both technical and non-technical stakeholders.

Excellent problem-solving skills with the ability to work independently and as part of a team.

Senior Netskope Technology Stack Expert (SWG/CASB/ZTNA)

Duties and Responsibilities:

• Hands on experience configuring rules and policies across the SWG/CASB/ZTNA platforms.
• Lead the Deployment and Operationalization of the Netskope Technology stack
• Defining and implementing procedures and policies to ensure proper maintenance of the environment
• Implement the process, systems, and technology required to fully maximize the platforms security capabilities
• Develop strategy, execution roadmap, priorities, and investment plans
• Partner with the leadership team to define strategic objectives
• Work closely with IT, Engineering and Security teams to ensure appropriate protections are in place while maintaining a continuity of service
• Engage Netskope’s technical teams in troubleshooting issues with current or new integrations

Required Experience and Skills:

• 5 - 7 years of leadership experience leading a team
• 3 - 5 years of experience hands-on technical design, implementation, and leadership of enterprise deployments
• Excellent knowledge and prior experience supporting network security technologies including but not limited to Proxies, NG Firewalls, SSL/IPSec, VPN’s, SSO, DLP and Encryption gateways
• Strategic capability to lead and innovate while thriving in a fast-moving environment
• A bias for action, results and delivery, with a high quality bar
• Proven track record of developing people, leading and managing high-performing teams
• An innate ability to create a sense of loyalty, trust, and positive culture. Ability to energize people and teams and establish cross functional cooperation
• Forward-thinking and problem-solving mindset; drawn to building off ambiguous and unsolved problems and “making it happen”
• Demonstrated ability to interface and maintain effective relationships with all levels of employees in a team-oriented environment

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements into the application. You will also be responsible for building rich UI components with React.

Skills: Node.js, React.js, MongoDB, Express JS, HTML, CSS, .

Requirements:

• Should have experience on Node.js and frameworks available for it, such as Express or StrongLoop. Preferably Express.
• Should have experience in building Rich UI components with React.js.
•  Should have hands on experience on MongoDB.  
• Strong understanding of JavaScript, its quirks and workarounds.
• Knowledge of ES6, ES7 and Object-oriented and functional programming.
• Understanding the nature of asynchronous programming and its quirks and workarounds.
• Should have experience in working on Linux (Ubuntu) Environment and basic linux commands.
• Proficient understanding of code versioning tools, such as Git.
• Good to have knowledge on Redis DB.
• Good understanding of browser rendering behavior and performance.
• Good to have exposure working in an agile development environment.

• Strong Experience on Autosar 4.x BSW Diagnostics (UDS-IS014229) configuration and development.
• Strong Experience on DEM and FIM configuration and development.
• Knowledge on OEM specific service implementation.
• Knowledge and Experience on AUTOSAR standard, AUTOSAR configuration tools (EB Tresos, Vector Configurator DaVinci, ETAS isolar).
• Excellent programming skill in C language.
• knowledge on Requirements Engineering, Traceability and experience using any of the requirement engineering tools – DOORS
• Experience using the measurement/testing tools – CANoe, Trace32, MiniWiggler
• Excellent debugging, analytical, logical and communication skills
• Knowledge/Working Experience in Scripting languages – Python, CAPL.
• knowledge on Quality Management – Automotive SPICE
• Experience working in Agile-Scrum/Kanban development process