Data Scientist

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Spain
Remote
58K-68K Annually
Mid level
Information Technology
The Role
Design, build, and maintain data models, analytics, and machine learning solutions. Analyse large datasets, support ETL and data quality, create dashboards, collaborate with stakeholders, and deploy and monitor data science solutions.
Summary Generated by Built In
Data Scientist

Job Title:

Data Scientist

Location: Remote, Spain

Salary: EUR 58,000–68,000 per annum (depending on experience)

Overview of Position:

Speedcast delivers highly customizable, mission-critical communication solutions for remote sites worldwide. As a Data Scientist, you will work closely with business stakeholders to understand challenges and objectives, transforming complex data into meaningful insights that support business decisions.

The successful candidate will be passionate about data, analytics, and problem-solving, with the ability to work independently while collaborating effectively with cross-functional teams. You will contribute to the development of data-driven solutions and support the delivery of analytics and machine learning initiatives across the organisation.

What you will do:

  • Develop and implement data models, analytics solutions, and reporting capabilities to support business objectives.

  • Analyse large and complex datasets to identify trends, patterns, and opportunities for improvement.

  • Build, test, and maintain statistical and machine learning models.

  • Support data integration and ETL processes, ensuring data quality and consistency across systems.

  • Collaborate with stakeholders to gather requirements and translate business needs into analytical solutions.

  • Create dashboards, reports, and visualisations that provide actionable insights.

  • Assist in the deployment, monitoring, and continuous improvement of data science solutions.

  • Identify opportunities to improve processes, data quality, and operational efficiency.

  • Work closely with engineering, product, and business teams to deliver high-quality solutions.

What we need from you:

  • 3–5 years of experience in Data Science, Analytics, Machine Learning, or a related field.

  • Experience developing and implementing data models, analytical solutions, and machine learning algorithms.

  • Strong programming skills in Python and experience with data analysis tools and libraries.

  • Experience working with SQL and relational databases such as MySQL and PostgreSQL.

  • Understanding of ETL processes, data modelling, and data warehousing concepts.

  • Knowledge of machine learning techniques and statistical analysis methods.

  • Experience working with cloud-based data platforms and services.

  • Familiarity with big data technologies such as Apache Spark, Hadoop, Amazon EMR, or Kinesis is advantageous.

  • Experience using version control tools such as Git or Bitbucket.

  • Strong analytical and problem-solving skills with attention to detail.

  • Excellent communication skills and the ability to explain technical concepts to both technical and non-technical audiences.

  • Ability to work effectively in a collaborative and fast-paced environment.

Even better if you have:

  • Experience with Natural Language Processing (NLP) or image processing techniques.

  • Exposure to AWS services and cloud-native data solutions.

  • AWS certifications (e.g., AWS Certified Developer or AWS Solutions Architect).

  • Experience working in Agile/Scrum environments.

  • Knowledge of CI/CD pipelines and deployment practices.

  • Experience with data governance and data quality frameworks.

Working at Speedcast:

At Speedcast, we want people that like adventure. Who are motivated by work that takes uncommon ingenuity and thinking outside the box. Who relish the idea of working in an industry undergoing massive transformation. If you want to be part of a global team responsible for connecting the world, then you’re in the right place.

We're always pushing forward, never standing still. When people rely on you and your team to stay connected, it brings everyone closer together. We’re united by the adrenaline of high-stakes projects and our love of getting the job done right. You will experiment, learn and grow here, right alongside us, every single day.

Find great opportunities to make an impact. We have a "one team, one dream" mentality. We work together to make great things happen. Working at Speedcast isn't just a job, it's a career that you can take to new levels.

Top reasons why people love working at Speedcast:

  • Our global presence – you get to work with clients and colleagues all over the world, in every continent

  • Talented teammates – your co-workers are the best and brightest in the industry

  • Industry leadership – be part of the latest advancements shaping the future of communications

  • Ability to develop skills – work across departments to gain new skills and valuable experience

  • Choose your environment – we have an environment to fit your temperament. Choose between a traditional desk job or work in the field.

  • Grow your career - Guide your career in the direction you want. Gain new titles and responsibilities through our internal promotion system.

  • Work on diverse projects – every day is different with our customers from a range of industries around the world

Speedcast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, and other protected characteristics. The US EEO is the Law poster is available by visiting the below link:

https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf

Speedcast does not accept or retain unsolicited résumés or phone calls and/or respond to them or to any third party representing job seekers.

Skills Required

  • 3-5 years of experience in Data Science, Analytics, Machine Learning, or a related field.
  • Experience developing and implementing data models, analytical solutions, and machine learning algorithms.
  • Strong programming skills in Python.
  • Experience working with SQL and relational databases such as MySQL and PostgreSQL.
  • Understanding of ETL processes, data modelling, and data warehousing concepts.
  • Knowledge of machine learning techniques and statistical analysis methods.
  • Experience working with cloud-based data platforms and services.
  • Experience using version control tools such as Git or Bitbucket.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills and ability to explain technical concepts to non-technical audiences.
  • Ability to work effectively in a collaborative and fast-paced environment.
  • Familiarity with big data technologies such as Apache Spark, Hadoop, Amazon EMR, or Kinesis.
  • Experience with Natural Language Processing (NLP) or image processing techniques.
  • Exposure to AWS services and cloud-native data solutions.
  • AWS certifications (e.g., AWS Certified Developer or AWS Solutions Architect).
  • Experience working in Agile/Scrum environments.
  • Knowledge of CI/CD pipelines and deployment practices.
  • Experience with data governance and data quality frameworks.

Speedcast Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Speedcast and has not been reviewed or approved by Speedcast.

  • Retirement Support A competitive employer match on the 401(k) is available in the U.S., strengthening long-term savings for eligible employees.
  • Leave & Time Off Breadth Generous PTO policies, including unlimited PTO in some teams, are available in parts of the organization.
  • Healthcare Strength Medical coverage is solid and usable, contributing positively to total compensation.

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The Company
Aberdeen
828 Employees
Year Founded: 1989

What We Do

Speedcast is a leading communications and IT services provider, delivering critical communications services to the Maritime, Energy, Mining, Media, Telecom, Cruise, NGO, Government, and Enterprise sectors. The company leverages its global network platform to provide fully connected systems that harness technologies and applications to transform what remote operations can achieve. With the world’s most comprehensive network, Speedcast enables faster, seamless pole-to-pole coverage from a global hybrid satellite, fiber, cellular, microwave, MPLS, and IP transport network with direct access to public cloud platforms. The company integrates differentiated technology offerings that provide smarter ways to communicate and distribute content, manage network and remote operations, protect and secure investments, and improve the crew and guest experience. With a passionate customer focus and a strong safety culture, Speedcast serves more than 3,200 customers in over 140 countries. Learn more at www.speedcast.com

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