Description review
ML Engineer
PharmaForceIQ · Croatia · back to the listing
HR standards
61/100
needs work
Title ↔ description
78/100
solid
Reads as
Unclear
no confident match
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
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What the listing never says
- 18 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Job Title: Machine Learning Engineer
Location: Remote, Croatia
Company: PharmaForceIQ Inc.
Job Type: Full-time, Exempt
About Us:
We are a team of marketing strategists, digital innovators, life science leaders, and other professionals who are driving growth, pushing the envelope, and going above and beyond on behalf of our clients every day.
PharmaForceIQ is a real-time customer engagement platform built specifically for life sciences. We empower leaders across functions and brands with a faster, more effective way to engage healthcare professionals and patients. By streamlining real-time optichannel execution, leveraging AI, and focusing on measurable impact, we are driving a paradigm shift from sluggish, siloed customer engagement efforts to agile, data-driven strategies that deliver unmatched efficiency and tangible results.
The Role
You Will Be Responsible For
• Creating and utilizing generative AI or ML models that could have a positive impact on the business.
• Driving all data modelling activities ranging from conceptualization, visualization to operationalization.
• Performing statistical analysis on historical data to validate models.
• Working across stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions.
• Developing scripts to process structured and unstructured data.
• Recommending, developing and implementing ways to improve data reliability, efficiency and quality.
• Supporting translation of data business needs into technical system requirements.
• Working with stakeholders to understand needs in order with respect to data structure, availability, scalability and accessibility.
Ideal Profile
• You possess an advanced degree, in Mathematics, Statistics, Computer Science or related field.
• You have at least 3 years experience, ideally within a Data Engineer or Data Scientist role.
• Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
• You have working knowledge of Python programming, Artificial Intelligence, GEN AI, Pyspark, Databricks and Cloud Computing
• You possess strong analytical skills and are comfortable dealing with numerical data
• You pay strong attention to detail and deliver work that is of a high standard
• You enjoy finding creative solutions to problems
What's on Offer?
• Work alongside & learn from best in class talent
• Excellent career development opportunities
• Great work environment
Salary: 5,000 Euros per monthOriginally posted on Himalayas
Location: Remote, Croatia
Company: PharmaForceIQ Inc.
Job Type: Full-time, Exempt
About Us:
We are a team of marketing strategists, digital innovators, life science leaders, and other professionals who are driving growth, pushing the envelope, and going above and beyond on behalf of our clients every day.
PharmaForceIQ is a real-time customer engagement platform built specifically for life sciences. We empower leaders across functions and brands with a faster, more effective way to engage healthcare professionals and patients. By streamlining real-time optichannel execution, leveraging AI, and focusing on measurable impact, we are driving a paradigm shift from sluggish, siloed customer engagement efforts to agile, data-driven strategies that deliver unmatched efficiency and tangible results.
The Role
You Will Be Responsible For
• Creating and utilizing generative AI or ML models that could have a positive impact on the business.
• Driving all data modelling activities ranging from conceptualization, visualization to operationalization.
• Performing statistical analysis on historical data to validate models.
• Working across stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions.
• Developing scripts to process structured and unstructured data.
• Recommending, developing and implementing ways to improve data reliability, efficiency and quality.
• Supporting translation of data business needs into technical system requirements.
• Working with stakeholders to understand needs in order with respect to data structure, availability, scalability and accessibility.
Ideal Profile
• You possess an advanced degree, in Mathematics, Statistics, Computer Science or related field.
• You have at least 3 years experience, ideally within a Data Engineer or Data Scientist role.
• Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
• You have working knowledge of Python programming, Artificial Intelligence, GEN AI, Pyspark, Databricks and Cloud Computing
• You possess strong analytical skills and are comfortable dealing with numerical data
• You pay strong attention to detail and deliver work that is of a high standard
• You enjoy finding creative solutions to problems
What's on Offer?
• Work alongside & learn from best in class talent
• Excellent career development opportunities
• Great work environment
Salary: 5,000 Euros per monthOriginally posted on Himalayas