Data Scientist

The Data Scientist will play a critical role in analyzing complex datasets, developing machine learning models, and delivering actionable insights that drive business decisions. This role combines statistical analysis, data modeling, and problem-solving to create innovative solutions for business challenges. The Data Scientist will collaborate closely with stakeholders to identify opportunities for data-driven improvements and work alongside ML Pipeline Engineers to transition models into production.

This position requires a combination of technical expertise, curiosity, and business acumen to unlock the full potential of data.

RESPONSIBILITIES

• Perform exploratory data analysis (EDA) to uncover trends, anomalies, and patterns in complex datasets.
• Develop, test, and refine machine learning models and statistical analyses to address business challenges.
• Collaborate with business stakeholders to translate business questions into data science problems.
• Conduct feature engineering and feature selection to enhance model performance.
• Communicate insights and results through clear visualizations, dashboards, and presentations to non-technical stakeholders.
• Perform hypothesis testing, A/B testing, and statistical analyses to validate business strategies.
• Stay updated on the latest data science methods and tools, integrating new techniques to improve processes.
• Research and prototype algorithms to solve unique problems and perform proof-of-concept studies.
• Ensure data quality, integrity, and compliance with organizational and regulatory standards.

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent experience.
• 4+ years of experience in data analysis, machine learning, and statistical modeling.
• Strong programming skills in Python, with experience in libraries like Pandas, NumPy, PyTorch , Scikit-learn, XGBoost.
• Proficiency in SQL for querying and manipulating data.
• Experience in building and evaluating machine learning models (regression, classification, clustering, etc.).
• Experience with classical and modern modeling methods including linear/logistic regression, random forests, boosted trees, and deep neural networks.
• Excellent communication skills to articulate technical results to non-technical stakeholders.

PREFERRED QUALIFICATIONS

• Familiarity with Azure and Snowflake.

• Experience with advanced modeling techniques like deep learning and time series forecasting.

• Prior experience in the transportation domain.

TOOLS AND TECHNOLOGY

• Python, and SQL for programming.

• Machine learning frameworks (Scikit-learn, XGBoost, PyTorch).

• Familiarity with version control systems like Git.

SOFT SKILLS

• Strong analytical and problem-solving abilities.

• Ability to work collaboratively with cross-functional teams.

• ​​​​​​​Excellent time management skills to prioritize multiple tasks effectively.

• Curiosity and eagerness to learn new techniques and technologies.

About OneRail

OneRail, headquartered in Orlando, FL, is the emerging leader in Final Mile delivery technology. Our OmniPoint SaaS platform uses proprietary algorithms and artificial intelligence to power efficient same-day delivery programs for major companies like Lowe’s, Pepsi, American Tire Distributors, and Advance Auto Parts.

OmniPoint is the cornerstone of OneRail’s integrated final mile delivery solution.

• Capture. Within moments of a purchase that requires same-day delivery, OmniPoint captures a shipper’s “demand signal” from their POS, ERP, or e-commerce system: what was ordered, where it is, where it’s going, and when it needs to be there.
• Optimize. OmniPoint uses this data to specify the optimal vehicle for the order’s size and weight, as well as any extra services required. OmniPoint then calculates all-in shipping costs and optimizes delivery routing.
• Execute. Customers can direct deliveries to their fleet, or OneRail’s nationwide network of 12 million couriers available 24/7/365.
• Support. Deliveries can be supported as they occur by OneRail’s skilled Exceptions Assist team to handle unforeseen delivery issues on the customer’s behalf.
• Follow Up. OmniPoint enables the consumer or receiving business to track their order delivery in real time and provide feedback through a customer-branded interface.

OneRail has been recognized by Gartner as one of the most innovative solutions in the Final Mile delivery space. We ranked in the top 100 of the Inc. 5000 list of the fastest-growing US private companies in 2022 and 2023 and received an Inc. Best Workplace award in 2023.

Regular, Full-time Team Member Benefits

• Competitive base compensation
• Health and wellness Insurance with generous company contribution (medical, dental, vision)
• Company-paid life insurance, short-term and long-term disability
• 4% 401K match with immediate vesting of Company match
• Continuing Education Opportunities
• Flexible/Open (Uncapped) Paid Time Off (PTO) Policy for Salaried Team Members*
• Competitive Paid Time Off (PTO) Policy for Hourly Team Members*
• Generous Company-paid Holidays

Onsite Team Member Job Perks

• Relaxed/casual work environment
• Standing desks
• Recreational and Video games
• Large breakroom and lounge
• Stocked kitchen and fridges
• Cappuccino machine
• Onsite restaurant and daily food trucks
• Offices conveniently located with quick access to I-4, SR-528, and Florida's Turnpike
• Ample free parking

OneRail's Travel Policy for Remote Team Members

While OneRail allows remote work for certain posted roles, noted as "Remote Work Available" on the Company's website, a core requisite for all roles is that team members be willing and able to occasionally travel to OneRail's Orlando, Florida headquarters. All team members are required to participate in on-site onboarding at the onset of employment and then on an as-needed basis thereafter, as a condition of their employment.

To view more details about what is like to work at OneRail, or to view a full list of career opportunities, please visit https://www.onerail.com/careers/