A job description is not a job ad. I cannot stress this enough. There is nothing more tiresome than to see an ad like this:
Requirements:
* At least 5 years ...
A job description is not a job ad. I cannot stress this enough. There is nothing more tiresome than to see an ad like this:
Requirements:
At least 5 years experience
Ability to make swift decisions, work through stressful situations and solve problems quickly
Deep knowledge of your area
Creativity
Ambition
etc.
Does this make you want to jump up, tell your boss you're leaving and go work for this company instead? I don't think so. This
hardly evokes an emotion, much less the feeling of wanting to uproot so much of your being and quit your job.
You have to remember that in the end of the day, that's what you want people to do. The people you want to apply are probably
being treated really well at their current job so that they won't quit. So, you have to work extra hard to attract them!
Ask questions instead of demanding
Nobody wants to read a list of your demands. If you get a lot of unqualified candidates applying, make sure you use questions to
filter them! For example, by asking how many years of experience they have, you will be able to filter the applications, and thus
save yourself from reading a lot of unqualified applications.
Focus on what you're offering
Since you've just eliminated the need to list your demands, you have a lot of space to write about your company and what you can
offer the candidate. Imagine it being a personal ad. You have to really sell the idea of working with you. Write about everything
from your lunches together, your flexible hours, free coffee in the break room, etc. When you add these things together, the
person reading the ad is going to imagine herself being there with you.
Market your company
Don't forget – job seekers are not the only ones reading your ads. Your rivals, customers and partners are probably reading them
as well. Job ads are a really good place to see how a company is doing and how generous they can be. When you're writing the ad,
make sure to imagine your biggest rival reading the ad. You're going to want to make them jealous, right?
Make sure you're not making stuff up!
So now you understand the concept of making your company sound like a great place to work. However, you have to be honest. Nothing
is worse than a candidate that is disappointed right from the start of an interview. Don't say that you offer something that you
don't.
Be honest – but be sure to mention everything that makes your workplace a great place to work.
Be concise
Don't write too much. To be brutally honest, nobody wants to read about your company for more than two minutes, so make sure that
Göteborg•Heltid•Publicerad: 6 juli•Sista ansökan: 6 aug.
Company description:
"Founded in 1927, the Volvo Group
Job description:
Data Scientist – Volvo Trucks Digital Management
Data Analytics & AI
Transport is at the core of modern society. At Volvo Trucks, you can use data science and AI to help shape the future of sustainable transport and infrastructure solutions. If you are passionate about turning data into business value, enjoy solving varied challenges, and want to work close to the business in a highly collaborative role, this could be a great opportunity for you.
The Role
We are looking for a Data Scientist to join Data Analytics & AI within Volvo Trucks Digital Management. In this role, you will work hands-on with data science and AI to solve real business challenges across Volvo Trucks. You will be part of a collaborative, skilled, and supportive team where advanced analytics, machine learning, and generative AI are applied to create meaningful impact.
This is a broad, hands-on role with a strong focus on collaboration and communication. You will work closely with business stakeholders across different parts of the organization, which means you need to be comfortable understanding business needs, challenging assumptions, translating technical concepts into clear insights, and building trust with people at different levels of technical understanding.
Your work will vary across projects, business areas, and technical challenges. One project may focus on predictive modeling, another on data exploration and experimentation, and another on generative AI or helping move AI solutions toward production. This variation is a core part of the role.
It is also a role for someone who enjoys working in a broad problem space. You do not need to know everything from day one. What matters most is a curious mindset, strong problem-solving ability, and a willingness to learn new domains, methods, and technologies over time. At Volvo Trucks, we value people who can grow into challenges, collaborate with others, and contribute across a wide range of issues.
What you will do
Apply data science and AI methods to real-world business problems
Work with advanced analytics, machine learning and generative AI
Collaborate closely with business stakeholders to understand needs and identify valuable use cases
Communicate methodologies, findings, and recommendations in a clear and transparent way, to build trust.
Work with a wide range of projects, data sources, and business contexts
Contribute throughout the lifecycle from exploration and prototyping to support with productionizing of AI solutions
Collaborate with colleagues across different domains
Continuously learn about the business, its information landscape, and the transport industry to create relevant and actionable solutions
Who are you
You are a curious and analytical person who enjoys solving problems and learning continuously in a fast-evolving field. You like working in close collaboration with others and are motivated by turning complex questions into practical business value.
You communicate clearly and bring a positive, proactive attitude to your work. As the role involves close interaction with business stakeholders, you should be comfortable explaining technical topics in a simple and engaging way, listening actively, and adapting your message to different audiences.
We believe you likely have:
A degree in computer science, statistics, engineering, or another relevant field
Experience using Python for data science, analytics and AI development
Good understanding of adjacent areas such as DevOps, APIs and data modeling
A collaborative mindset and the confidence to take on new challenges even when the path is not fully defined from the start
At least 2-3 years of work experience as a data scientist or relevant role
It is an advantage if you have experience with:
MLOps
Deployment and scaling of AI solutions
Cloud platforms such as Azure, AWS, or GCP
About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs.
We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact.
Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients.
Job Description What You’ll Do
You will perform statistical analyses of fleet data to help stakeholders gain better insight into vehicle behavior. You will use machine learning and statistics to make predictive models for vehicle systems, and visualization techniques to present complex results to stakeholders in a clear and understandable way.
You will also write code in Python, review and give feedback on your colleagues’ code, construct dashboards, and enable automated, continuous feedback on software and hardware quality.
Who are You?
We love what we do, and we think it’s important that you do too. You should be eager to learn and develop your knowledge and skillset, and support others with their personal and professional growth as well. You must be open to ideas from others, even when they may be less experienced than you – we value both ambition and humility!
Key Competencies
•Exploratory and confirmatory data analysis
•Pyspark, SQL, and ETL pipelines
•Visualization tools (specifically matplotlib and seaborn)
•Ability to write clean, readable code in Python that follows best practices
•Scientific computing libraries (e.g. numpy, scipy, pandas, polars)
•Basic proficiency with git
•Computing platforms such as Databricks and Jupyter
Meritorious
•Experience within the automotive and diagnostics domain
•Experience in high voltage battery design, analytics, assembly, or repair
•Machine learning and statistical modeling
•Developing software with Linux systems
•Cloud technologies such as Azure and AWS Application
When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients.
Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.
Göteborg•Heltid•Publicerad: 2 juni•Sista ansökan: 23 juli
Är du en analytisk och lösningsorienterad person med ett starkt intresse för data, AI och avancerad modellering? Trivs du i en roll där du får kombinera affärsförståelse med teknisk expertis för att skapa verkligt affärsvärde? För vår kunds räkning söker vi nu en Data Scientist som vill vara med och utveckla datadrivna lösningar som förbättrar lönsamhet, effektivitet och beslutsfattande. Välkommen in med din ansökan!
OM TJÄNSTEN:
I rollen som Data Scientist blir du en del av ett etablerat och samarbetsorienterat team bestående av Data Scientists, utvecklare och Product Owners. Tillsammans arbetar ni med att utveckla och implementera avancerade beslutsstödsverktyg som hjälper verksamheten att fatta bättre och mer datadrivna beslut. Du kommer att arbeta med komplexa problemställningar genom att utveckla, validera och förbättra prediktiva modeller, simuleringar och optimeringsalgoritmer. Rollen innebär ett nära samarbete med olika delar av verksamheten där du omvandlar affärsutmaningar till skalbara och innovativa datalösningar. Arbetet är varierande och kombinerar avancerad analys, mjukvaruutveckling och verksamhetsnära samarbete. Rollen passar dig som gillar att arbeta i gränslandet mellan teknik och affär, har ett stort intresse för problemlösning och vill bidra till utvecklingen av framtidens datadrivna produkter.
Du kommer till exempel att:
Utveckla automatiserade mjukvarulösningar med hjälp av maskininlärning och optimeringstekniker
Samarbeta med verksamheten för att identifiera affärsutmaningar och ta fram datadrivna lösningar
Identifiera möjligheter att förbättra intäkter, lönsamhet och operativ effektivitet
Mäta och följa upp affärsvärdet av modeller och kontinuerligt förbättra deras prestanda
Delta i hela produktutvecklingsprocessen – från idé och analys till produktion och vidareutveckling
Bidra till kontinuerlig integration och leverans av datadrivna produkter
Hålla dig uppdaterad kring den senaste utvecklingen inom AI, maskininlärning, optimering och data science
Bidra till en kultur präglad av innovation, kunskapsdelning och ständiga förbättringar
VI SÖKER DIG SOM:Har en civilingenjörsexamen, masterexamen eller doktorsexamen inom Data Science, Operations Research, Tillämpad Matematik, Datavetenskap eller liknande område
Har en stark grund inom modellering, optimering och algoritmutveckling
Har erfarenhet av eller ett stort intresse för mjukvaruutveckling
Har erfarenhet av Python och relevanta verktyg inom Data Science och Machine Learning
Har erfarenhet av prediktiv modellering och prognostisering
Har god förståelse för Data Science-, AI- och Machine Learning-koncept
Talar och skriver obehindrat på engelska, då detta används i det dagliga arbetet
Meriterande om du har:
Erfarenhet av foundation models för tabulär data eller tidsseriedata
Erfarenhet från transport-, logistik-, flyg- eller sjöfartsbranschen
Erfarenhet av revenue management eller kapacitetsoptimering
Erfarenhet av Kubernetes, OpenShift eller Azure
Erfarenhet av att utveckla eller arbeta med AI-agenter
Vi kommer att lägga stor vikt vid dina personliga egenskaper. För att trivas i rollen tror vi att du är analytisk, nyfiken och lösningsorienterad. Du har förmågan att se helheten samtidigt som du har ett öga för detaljer och kvalitet. Vidare är du kommunikativ och trivs med att samarbeta med både tekniska och icke-tekniska intressenter. Du drivs av att omsätta komplex data till konkreta insikter och skalbara lösningar som skapar affärsvärde.
OM ANSTÄLLNINGEN:
Detta är ett konsultuppdrag vilket innebär att du till en början kommer att vara anställd av Friday. Ambitionen från kunden och vår sida är att du efter en tid går över i anställning hos kunden.
ÖVRIG INFO:Omfattning: Heltid
Start: Enligt överenskommelse
Placering: Göteborg
Lön: Marknadsmässig
Kontaktperson: Evelina Ogheden
Ansök genom att klicka på länken nedan eller skicka in din ansökan direkt. Vi gör löpande urval, så vänta inte med din ansökan – tjänsten kan tillsättas innan annonsperioden löpt ut.
OM FRIDAY:
På Friday brinner vi för att ge dig som Tech-talang en riktigt bra start på karriären. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet.
Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas.
Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.
