This subgroup of dangerous job advertisements has a common denominator: ignorance, in one case amplified by a generative artificial intelligence initialized with an input as vague as the ignorance of the person who wrote it. In almost all cases it is a question of lack of knowledge, in some cases presumption of knowing how to write a job advert for figure X.
Ignorance
For one of our prestigious clients we are looking for a Data Scientist. The following skills are required:
- Expert in descriptive statistics, essential for analyzing and interpreting data.
- Solid experience in Data Visualization, to present complex information clearly and effectively.
- Excellent knowledge of Power BI, essential for creating high-level dashboards and reports.
Required languages:
- Knowledge of Italian at least level C1 required.
- Knowledge of English level B2 required.
Seniority:
- A Senior figure is required.
I’ll keep it short: descriptive statistics are not enough to analyze and interpret data, on this blog, and not only that, I have often covered this topic. This announcement echoes one commented in another article
Collect, ingest, clean, process, and structure raw data from multiple sources for analysis. Design and develop reports and dashboards using Power BI, Tableau o Excel (my bold). Analyze trends, patterns and anomalies to provide actionable business insights. Communicate results to business stakeholders in a clear, visual format to drive operational improvements.
Data science and artificial intelligence
Develop predictive models and machine learning algorithms to improve demand forecasting, supply chain optimization, and operational efficiency. Use Python or R for advanced statistical analysis, forecasting, and process optimization.)
You can’t put Excel and PowerBI on the same level with an “or”. This ad attracts snake charmers. In other words you are looking for a scam.
to support the business and encourage the company’s evolution towards data-driven approaches, it will have to take charge of the following activities:
- technical analysis and development of automation and integration procedures through company Business Intelligence platforms, coordinating with the various operative units
- descriptive, predictive and prescriptive analysis techniques
- technical analysis and development of dashboards/reports on the company Datawarehouse system in conjunction with the various operating units (Power BI services)
- management of all company databases (analysis, verification and control), backup, new users, new schemes, security (dbAdmin)
- support to those who coordinate projects during the feasibility analysis phase of technological initiatives, encouraging impact analysis
- master data management of all databases/connections in the centralized assets system (CMDBuild)
Qualifications
- Master’s degree – or equivalent – in computer science, engineering, mathematics or equivalent
- English B2
- Analysis and development experience on Business Analytics projects
- Knowledge and use of at least one of the following RDBS databases (PostgreSQL, MySQL, Maria DB, NoSQL etc.) including queries, design and modeling
- Expertise in reporting tools, data visualization and data analysis tools – Power BI and DAX language, Pentaho reporting or similar
- Skills and experience in analysis and development of ETL procedures: Hop, Talend, Pentaho Data integration or equivalent suite
- Basic knowledge of Web Services
- Server level operating systems (Windows Server, Linux) and client level (Win 10, Win 11)
- Office 365 package
Preferred skills
- Java/Javascript language
- XML ed HTML
- use/development of integration with API
- use git
- Python language
- other programming languages for advanced analytics and machine learning use cases for predictive statistical models with data
Other skills
- Analytical, problem solving and attention to detail skills
- Proactivity
- Ability to work in multidisciplinary teams and independently
- Communication skills
- Curiosity
They are asking for 4 people or an entire department: systems engineer, developer, data engineer and data analyst. There are companies that pay €50K and up for a figure like this and they specify the salary in the advert, this company does not, so they are looking for a miracle or an impostor.
Using AI: soulless ads nor even reread
Data Scientist
Main Duties
Data Scientists are required to perform tasks among the following:
- Process and analyze large, complex customer data sets in a big data ecosystem with PySpark.
- Develop Machine Learning algorithms to respond to business requests.
- Identify new analytical trends to guide the application of specific algorithms in areas such as Credit Risk Management, CRM and Fraud Detection.
- Draft technical reports that illustrate the methodology and motivations behind the analyses.
- Synthesize complex results or processes into presentations that are simple and clear to view, and effectively communicate the results obtained.
- For Senior candidates, coordinate junior colleagues and independently manage customer requests, helping to structure and provide new ideas and proposals for the company.
Collaborate in the implementation of the company’s development and research projects.
Analytical and Technical Requirements
- Master’s Degree in Computer Science, Physics, Mathematics, Engineering, Statistics, Data Science.
- Strong analytical and organizational skills.
- Advanced knowledge in data pipeline transformation for data exploration and analysis.
- Advanced knowledge of statistics and modeling; deep understanding of Machine Learning algorithms (Classification, Regression and Clustering), also from a methodological point of view.
- Good knowledge of Text Analytics and Natural Language Processing techniques.
- Basic knowledge of graph analysis.
- Advanced knowledge of Python, including Spark and PySpark, with good to advanced proficiency.
- Basic knowledge of SQL database languages.
- Knowledge of at least one of the following frameworks: Scikitlearn, Keras/Tensorflow or Pytorch.
- Knowledge of the financial sector (banking products and processes) is a plus.
- Clear understanding of the complete lifecycle of an advanced analytics project (data exploration, model development, evaluation, deployment).
- Ability to work in a team and autonomy while respecting project deadlines.
- Fluent English.
- Ability to draw up technical documentation.
Announcement suggestions
Introduce yourself: maximum 6 lines
My name is X, I founded / work for X (you’ll describe X later, people don’t care), I’m looking for figure Y for help me/us to do Z, W.
Who I’m looking for: details about Y
let’s avoid doing astrology on the adjectives of the candidates, almost everyone has attention to detail for at least one topic. This is why these details are transformed into
Key Responsibilities: details on Z, W, etc. Minimum 3 lines, maximum 20
if you go beyond 20 lines it means you are looking for a department, and therefore a supplier company and not a worker, if you write less than 3 lines it means you don’t know what you are looking for or you have a very rare ability to summarize
What I offer
gross annual income, company welfare, team characteristics, etc.
Required skills: technicalities on Z,W
here you can get help from GPT in terms of “helping me” at the beginning and the main responsibilities. I repeat: get help from a generative AI by entering as input the details mentioned above and all the public documents about the company that you can insert as attachments. Context, for generative AI, has a very important role. Without context, generative AIs become boring generative machines.
Estimated workload
the most difficult part of all, even for an expert. Totally optional, but I suggest evaluating well with an AI that “reasons”.
Explanation of the company
at this point you have the attention of the potential candidate and can explain the history of the company X, also because it can become a starting point for questions in the interview. Be careful when entering “alpha market leader” because someone knows how to do market research. And if it goes badly, they copy your idea and improve it, for example in processes or… in communication.
I don’t want to hire but find people to train
in this case let’s talk in a free first call. I can recommend books that in two quarters will form you into a person with a basis in computational and business statistics.