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Senior Data Science Engineer
Job Location:
Job Location:
Iselin, NJ - USA
Yearly Salary:
USD 105000 - 125000
Yearly Salary:
Posted:
8 September 2026 (11 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Object Data Inc. is seeking talented and experienced Senior Data Science Engineers to support our IT development teams located in New Jersey USA.
Job Description
As a Senior Data Science Engineer you will be a key contributor to data-driven solutions applying deep statistical and machine learning knowledge to optimize innovate and scale our data initiatives. Your role will encompass end-to-end data solutions from developing complex models to deploying data pipelines in production working alongside data engineers analysts and cross-functional teams. You will play a vital role in shaping our data strategy advancing our AI/ML initiatives and driving measurable outcomes across the organization.
Key Responsibilities
- Build and optimize advanced predictive models and machine learning algorithms (e.g. NLP deep learning recommender systems) tailored to solve high-impact business challenges.
- Design build and maintain robust scalable data pipelines and workflows using tools like Spark Kafka and Airflow ensuring seamless integration and accessibility for analytics and machine learning applications.
- Manage and process large datasets from varied sources implementing real-time data processing techniques to enable low-latency high-volume analytics and AI models.
- Partner with product managers software engineers and business stakeholders to translate business requirements into data-driven solutions and identify new data product opportunities.
- Leverage cloud platforms (AWS Azure or GCP) and containerization tools (Docker Kubernetes) to deploy monitor and optimize models in production ensuring efficiency scalability and security.
- Establish MLOps practices to monitor model performance retrain models and manage the lifecycle of deployed solutions ensuring accuracy and relevance in dynamic environments.
- Stay up-to-date with the latest trends in AI/ML data science and big data leading exploratory research initiatives to keep Object Data Inc. at the forefront of technological advancements.
Qualifications
- Bachelors or Masters degree in Computer Science Engineering or a related field from a reputable university or equivalent practical experience.
- 8 years in data science machine learning or data engineering roles with a strong background in deploying models in production and building scalable data systems.
- Proficiency in programming languages such as Python and R and experience with SQL and NoSQL databases. Extensive experience with ML libraries (e.g. TensorFlow PyTorch Scikit-Learn) and data processing frameworks (e.g. Spark Hadoop).
- Strong foundation in statistical analysis machine learning and deep learning with hands-on experience in supervised and unsupervised learning reinforcement learning and time-series analysis.
- Hands-on experience with cloud-based environments (AWS Azure GCP) and familiarity with data lake architectures distributed computing and big data tools.
- Knowledge of MLOps methodologies and tools (e.g. MLflow Kubeflow) for model lifecycle management and experience in DevOps practices to ensure scalable and efficient model deployment.
- Proven ability to translate complex data into actionable insights with strong problem-solving skills and a passion for driving impact through data.
- Excellent interpersonal and communication skills to work effectively with technical and non-technical stakeholders.
- Comfortable working in an Agile/Scrum environment collaborating with cross-functional teams.
- Excellent written and verbal communication skills in English for effective collaboration with stakeholders and team members.
- Familiarity with modern AI technologies is a plus.
Salary: The annual salary for this position ranges from $105K to $125K depending on experience and qualifications.
About You:
If you have a passion for building robust scalable data-driven solutions and a desire to thrive in a fast-paced cloud-native environment with modern technical skills we want to hear from you!
What We Offer:
- Opportunities for professional growth and development.
- A collaborative and innovative workplace.
- A healthy work-life balance with standard hours: 8 hours per day 5 days a week.
- Visa sponsorship.
Required Experience:
Senior IC
