Data Scientist

About The Company

Jobot is a leading employment platform dedicated to connecting talented professionals with innovative organizations across various industries. Committed to fostering an inclusive and dynamic work environment, Jobot emphasizes diversity, equity, and inclusion in all its hiring practices. The company leverages advanced technology and personalized recruitment strategies to ensure that both employers and candidates find the perfect match. With a focus on transparency, integrity, and excellence, Jobot strives to empower individuals to achieve their career aspirations while helping organizations build high-performing teams. Its reputation as an industry leader is built on a foundation of trust, professionalism, and a deep understanding of the evolving job market.

About The Role

We are urgently seeking a Senior Data Scientist to join our innovative team. In this pivotal role, you will be responsible for designing, building, and maintaining the data infrastructure that underpins our analytics, machine learning models, and operational reporting. This position requires a hands-on professional who excels at working at the intersection of data engineering, modeling, and production systems. You will play a critical role in shaping our data strategy, ensuring the reliability and scalability of our data pipelines, and enabling data-driven decision-making across the organization. Your expertise will directly impact our ability to optimize processes, reduce costs, and deliver insights that drive strategic growth.

Qualifications

The ideal candidate will possess over 8 years of experience in data science or data engineering, demonstrating a deep understanding of data management and analytics. Proficiency in Python and SQL is essential, with working knowledge of Scala or Java for Spark-based projects. Candidates should have at least 3-5 years of hands-on experience with Apache Spark and Databricks, including Delta Lake and performance tuning. Cloud experience is vital, with familiarity in AWS services such as S3, EMR, Glue, Lambda, and Kinesis, or Azure equivalents like ADLS Gen2, ADF, Event Hubs, and Synapse. Experience with orchestration tools like Airflow or ADF, transformation frameworks such as dbt, and data warehouses like Snowflake, Redshift, or Databricks SQL is also required. A solid foundation in data modeling, CI/CD workflows, Docker/Linux environments, and version control with Git is necessary. Candidates should demonstrate the ability to translate complex business needs into scalable data solutions and lead projects end-to-end.

Responsibilities

• Design and evolve our lakehouse architecture on platforms such as Delta Lake on AWS or Azure, including storage layout, compute strategy, and performance SLAs.
• Build and maintain robust batch and streaming data pipelines utilizing Apache Spark (PySpark/Scala), Databricks Workflows, Azure Data Factory, and event-driven systems like Kinesis, Event Hubs, or Kafka.
• Develop and sustain analytical, machine learning-ready data models, semantic layers, and dimensional schemas tailored for BI and production environments.
• Implement observability and reliability features, including custom Spark metrics, anomaly detection, logging, and automated data quality checks to ensure system robustness.
• Optimize compute and storage performance through cluster tuning, caching, partitioning, and format selection, resulting in cost efficiencies.
• Enforce data governance policies, including role-based access control, row-level security, cataloging, lineage tracking, and compliance with regulations such as GDPR, HIPAA, FHIR, CCPA, and CDPA.
• Collaborate effectively with analytics, product, and platform teams to define service level agreements (SLAs), manage incident response, and establish data contract best practices.
• Mentor junior engineers, lead design reviews, and set standards for scalable and maintainable data systems that align with organizational goals.

Benefits

We offer a comprehensive benefits package designed to support your health, well-being, and professional growth. Compensation is competitive and commensurate with experience. Employees enjoy paid vacation, sick leave, holidays, and parental leave. Our health insurance options include medical, dental, and vision plans. Additionally, we provide an Employee Assistance Program to support mental health and wellness. Our 401(k) plan features a generous employer match to help you plan for the future. Life insurance coverage is also included. Employees benefit from employee discounts on our products and services, along with paid training opportunities to foster continuous learning. Our workplace culture emphasizes collaboration, innovation, and recognition, making it an ideal environment for ambitious professionals seeking to make a meaningful impact.

Equal Opportunity

Jobot is an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We welcome applications from all qualified candidates regardless of race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information, or any other protected characteristic under applicable law. We prohibit harassment and discrimination in all employment practices and are dedicated to ensuring a respectful and equitable work environment. Jobot complies with all relevant federal, state, and local laws concerning employment and non-discrimination. We also conduct background checks where required, and we consider qualified candidates with criminal histories in accordance with applicable laws. By applying, you agree to our privacy policies and consent to communication from Jobot and its partners regarding your application and employment process.