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Data Scientist

Remote, US Full Time

Telegraph is a B2B SaaS company disrupting the underdigitized freight railroad segment of the supply chain. Our product is the first-ever cloud-based operating system for the rail ecosystem. On any given day, 40% of all goods in North America are moved on a freight train. We deliver software for railroads, logistics companies, and end customers to make shipping by rail simple, efficient, and automated. We are seeking a Data Scientist to further develop our predictive capabilities and dive deeper into rail analytics.

As a Data Scientist at Telegraph, you will be instrumental in expanding our business intelligence capabilities. This role is designed for those who are action-oriented, customer-focused, and deeply passionate about data. You will collaborate closely with Product, Data, and Engineering teams to enhance Telegraph’s predictive models and optimize the delivery of data incubated products.

In this role, you will dive deep into data, transforming user feedback into exceptional deliverables. You’re expected to simplify complex data problems into clear, impactful insights and embrace an iterative approach to ensure continuous improvement in a dynamic economic environment. Your success will also depend on your ability to work collaboratively with both internal teams and external customers, using these opportunities to drive results and improve user engagement.

This position is an excellent opportunity to make a significant impact within the company while advancing your skills in a growth-oriented environment. If you’re eager to drive change and grow professionally, Telegraph offers a dynamic and supportive setting to do just that.

  • Predictive Model Development/Improvement: Spearhead the development and refinement of predictive models to accurately forecast Estimated Times of Arrival (ETA) for freight, leveraging advanced machine learning techniques.
  • Ad-hoc Data Analyses: Conduct comprehensive ad-hoc data analyses to uncover insights, support decision-making processes, and address complex business challenges.
  • Data Infrastructure Development: Take the lead in expanding our data infrastructure, including building out data marts with dbt and integrating new data sources to enrich our analytical capabilities.
  • Data Visualization:  Create intuitive and insightful data visualizations to communicate findings and empower stakeholders with actionable intelligence.
  • Remote Friendly: Distributed team focused on culture + results v. proximity. Availability to collaborate on U.S. timezone–friendly hours is a must.
  • Offsites: Quarterly company get-togethers with a hackathon theme.
  • PTO: Unlimited – and a culture that empowers you to take it.
  • Benefits: Health, Vision, Dental + 401k.
  • Parental Leave: 12 weeks of paid time.
  • Co-working stipend: Every employee is offered monthly access to a local co-working facility.
  • Equity: Above market equity and compensation packages.
  • Sabbatical: 1 month, paid, beginning after 4 years of employment.
  • Educational Background: Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Professional Experience: At least 5 years of experience as a Data Scientist, preferably within the freight or logistics industry.
  • Technical Expertise:  Profound knowledge in machine learning, statistical modeling, and algorithm development.
  • Programming Proficiency: Skilled in programming languages such as Python, R, and familiar with libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
  • SQL Mastery:Proficiency in SQL for data querying and analysis.
  • Optimization Techniques: Experience with optimization techniques and their practical applications.
  • Data Visualization Tools:  Competence in using data visualization tools such as Tableau, Power BI, or D3.js.
  • Cloud Computing Platforms: Familiarity with cloud computing platforms like AWS, GCP, enhancing our data processing and storage capabilities.
  • Independent Work Ethic: Ability to work independently, managing multiple projects with diverse objectives simultaneously.
  • Communication Skills: Excellent analytical, problem-solving, and communication skills, capable of presenting complex data in an understandable manner.
  • Team Collaboration: Strong desire to collaborate in a fast-paced, team-oriented environment.
  • Industry Knowledge: Knowledge of the freight or transportation industry is a significant plus.

Studies have shown that women and people of color are less likely to apply to jobs unless they meet every. single. qualification. At Telegraph, we are dedicated to building a diverse, inclusive and just workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with 100% of the qualifications listed, we encourage you to still apply. Our hiring philosophy looks to weed people INTO our process, not weed them out! Who knows, you may be just the right candidate for a future role with Telegraph. Just go for it… submit your resume!



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