ReedTMS Logistics is a reputable name in the logistics industry, known for its innovative solutions and commitment to excellence. As a Data Scientist at ReedTMS, you will play a crucial role in evaluating and improving various company needs by collaborating with executive, sales, and operations teams. Your responsibilities will include conducting statistical analysis, developing predictive models, and presenting findings to senior leadership. You'll need to be proficient in programming languages like Python and R, skilled in statistical modeling and machine learning, and capable of managing and interpreting large data sets. Join us to drive impactful decisions in a dynamic and collaborative environment with ReedTMS Logistics through Interview Query!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining ReedTMS Logistics as a Data Scientist. Whether you were contacted by a ReedTMS recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the ReedTMS Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the ReedTMS data scientist hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the ReedTMS Logistics Data Scientist role usually is conducted through virtual means, including video conferences and screen sharing. Questions in this 1-hour long interview stage may revolve around data analysis, statistical modeling, and machine learning techniques.

In the case of data scientist roles, take-home assignments involving predictive modeling, data analysis, and visualization are typically included. Additionally, your proficiency against SQL queries, Python or R programming, and cloud technologies may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Following a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the ReedTMS office. Your technical prowess, including data manipulation, statistical analysis, and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Scientist role.

Quick Tips for ReedTMS Logistics Data Scientist Interviews

• Understand Business Requirements: ReedTMS places importance on Data Scientists who can collaborate effectively with various teams. Be prepared to discuss how you've gathered requirements and provided data-driven insights in your previous roles.
• Quantitative Analytic Skills: Emphasize your strong analytic skills and experience with statistical modeling and machine learning. Be ready to talk about models you've built and their business impacts.
• Hands-on with Tools: Ensure you're adept with the listed tools like SQL, Python, R, and Tableau. Discuss specific instances where you've used these tools to manage and analyze large datasets or develop predictive models.

Typically, interviews at Reedtms Logistics vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

• How would you explain what a p-value is to someone who is not technical? Explain the concept of a p-value in simple terms to someone without a technical background. Use an analogy or straightforward language to make it easily understandable.

• What is an unbiased estimator and can you provide an example for a layman to understand? Define an unbiased estimator in simple terms and provide an example that a layperson can easily grasp. Use a relatable analogy or scenario to illustrate the concept.

• Create a function range_vehicles to find the number of vehicles between specified checkpoints. Given a list called vehicles indicating the number of vehicles between each checkpoint, write a function range_vehicles that will give the number of vehicles between the start and end checkpoints.

• Develop a function truck_frequent_location to find the top location for each truck model. Given a list of locations that your trucks are stored at, return the top location (x,y) for each model of truck (Mercedes or BMW). Assume there is one location with the most model of a truck.

• How would you design a model to detect potential bombs at a border crossing? You are tasked with building a model to detect potential bombs at a border crossing. Describe how you would design the model's inputs and outputs, measure its accuracy, and test the model.

What is the average salary for a Data Scientist at Reedtms Logistics?

Q: What are the primary responsibilities of a Data Scientist at ReedTMS Logistics?

The Data Scientist at ReedTMS Logistics will be responsible for conducting statistical analysis, creating and updating models, developing metrics, and contributing to research activities. This role includes managing master data, processing and analyzing huge data sets, and presenting findings to senior leadership. Additionally, the role involves creating predictive models using Python and R, developing web-based applications, and collaborating with various departments to streamline their workflows.

Q: What qualifications and skills are required for the Data Scientist position?

Candidates should have a BS or MS in Data Science, Mathematics, Statistics, or Physics, with 2-6 years of experience. Required skills include proficiency in Python, R, SQL, and experience with machine learning, predictive modeling, statistical analysis, and data visualization. Knowledge of BI tools like Tableau, cloud or containerization experience, and big data frameworks is also important.

Q: What is the interview process like at ReedTMS Logistics?

The interview process typically involves several stages: initial screening by a recruiter, technical interviews, and onsite interviews. You will be evaluated on your technical skills, problem-solving abilities, and cultural fit within the company. Be prepared to discuss your past experiences, technical projects, and how they align with the responsibilities of the Data Scientist role.

Q: What is the company culture like at ReedTMS Logistics?

ReedTMS Logistics prides itself on maintaining an inclusive and collaborative work environment. The company values innovation and efficiency, encouraging employees to develop new solutions and think creatively to solve business challenges. They also stress the importance of teamwork across various departments to achieve company goals.

Q: How can I prepare for an interview at ReedTMS Logistics?

To prepare for an interview, research the company thoroughly and understand its business model and problems. Practice common interview questions and review your technical skills in SQL, Python, and machine learning. Platforms like Interview Query can help you fine-tune your preparation by providing relevant problems and scenarios you might encounter during the interview.

Looking to revolutionize your career as a Data Scientist at ReedTMS Logistics? Dive into a world where you'll collaborate across teams, innovate solutions, and present insights to senior leadership. Your role will encompass everything from managing master data and processing vast datasets, to developing predictive models and optimizing pricing analytics. Get equipped with the necessary skills, leverage your expertise in SQL, Python, and machine learning, and drive impactful decisions. If you want more insights about the company, check out our main ReedTMS Logistics Interview Guide, where we have covered many interview questions that could be asked.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every ReedTMS Logistics Data Scientist interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!