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An innovative firm is seeking a detail-oriented Mid-Level Data Scientist to join their dynamic team. In this role, you will leverage your expertise in data science techniques, including regression and clustering, to develop analytical models that drive business decisions. You will work with diverse datasets using Python, SQL, and workflow orchestration tools, ensuring data readiness for modeling. The company fosters a collaborative environment, offering great benefits and a flexible work-life balance, making it an exciting place to grow your career. If you're passionate about technology and eager to make an impact, this opportunity is perfect for you.
We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.
We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, and we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.
We are seeking a highly organized and results-driven Mid-Level Data Scientist to support the development of analytical models that guide business decision-making.
The ideal candidate will have hands-on experience applying data science techniques such as regression, clustering, and feature analysis, combined with strong skills in statistical modeling, data analysis, and data visualization.
This role requires expert-level Python programming (particularly with Pandas and NumPy) and proficiency in SQL for working with diverse datasets. Familiarity with workflow orchestration tools (such as Dagster or Airflow) and data engineering concepts (ETL, data pipelines, data lakes/warehouses) is important to ensure data readiness for modeling.
The right candidate will be highly detail-oriented, capable of managing multiple data streams, and skilled at translating data into actionable business insights.
Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.