Job Description

Remote (LATAM)
4-7 yrs Exp.

Contract 6 MonthsStart Immediately
JOB

Job Title: Data Science Engineer

Introduction:

We are seeking a highly skilled

Data Science Engineer

with 4 to 7 years of experience to join our dynamic team. This role is pivotal in driving data-driven decision-making by transforming complex business problems into actionable technical solutions. The ideal candidate will leverage expertise in

R Programming Language

,

Python

,

Machine Learning

,

NLP

, and

Data Mining

to develop advanced predictive models and insightful analytics that directly impact quality, risk management, and operational efficiency within our organization.

Roles and Responsibilities:

Translate complex business challenges into clear, executable technical plans and communicate results effectively to stakeholders. Perform rigorous

statistical analysis

to determine appropriate methodologies based on the problem context. Design and implement

advanced feature engineering

techniques, including: Creating predictive features from diverse datasets. Extracting text-based features using

NLP

to convert unstructured data into numerical insights. Developing time-series features such as rolling averages and control charts from sensor or operational data. Constructing interaction features linking multiple datasets to uncover hidden patterns. Build, validate, and deploy

machine learning

models (e.g.,

random forest

,

XGBoost

) to identify key drivers of quality defects and other critical outcomes.

NLP

techniques to analyze unstructured data sources such as customer complaints, risk management documents, and non-conformance descriptions. Conduct advanced data manipulation and integration using

SQL

,

Python

, or

R

to prepare datasets for modeling and analysis. Communicate findings using compelling

data visualization

to inform decision-making across teams. Collaborate with cross-functional teams including R&D, manufacturing, and quality assurance to ensure data solutions align with business goals. Maintain compliance with industry regulations and standards pertinent to highly regulated sectors such as pharmaceuticals, medical devices, or finance (preferred). Support cloud-based data infrastructure initiatives using platforms like

AWS

,

Azure

, or

GCP

(advantageous).

Qualifications:

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. 4 to 7 years of professional experience in

data science

,

machine learning

, or related roles. Proven expertise in

R Programming Language

and

Python

for data analysis and model development. Strong background in

statistical analysis

and

data mining

techniques. Hands-on experience with

NLP

applications on unstructured text data. Demonstrated ability to build and deploy classification models such as

random forest

and

XGBoost

. Proficiency in

SQL

and data wrangling using

Python

or

R

. Experience in feature engineering for time-series and interaction features. Excellent communication skills with ability to clearly articulate technical results to non-technical stakeholders. Experience in regulated industries (pharma, medical device, finance) and cloud platforms (

AWS

,

Azure

,

GCP

) is a plus.

Tools and Technologies:

R Programming Language

Python

(including libraries such as pandas, scikit-learn, nltk/spacy for NLP)

SQL

for data querying and manipulation Machine Learning frameworks (e.g.,

XGBoost

,

random forest

) Natural Language Processing tools and techniques Data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) Cloud platforms (

AWS

,

Azure

,

GCP

) - preferred




Join us as a Data Science Engineer and play a crucial role in harnessing the power of data to solve complex business problems end-to-end, driving innovation and quality improvements across the organization.


Skills


R Programming Language, Data Mining, Python, NLP, Machine Learning, Data Science