Data Scientist Remote, Latin America

Data Scientist page is loaded## Data Scientist locations:
Remote, Latin America time type:
Full time posted on:
Posted Todayjob requisition :
JR101111

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.

By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience h Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty.

Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.

Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.

As a Data Scientist at Stord, you will be at the forefront of developing innovative solutions in areas like demand forecasting, network modeling, pricing analytics, and transit time calculations. You will collaborate closely with engineers, product managers, and business stakeholders to integrate your models into our platform and drive measurable impact.
In our fast-paced environment, it’s essential that you’re someone who thrives on solving complex challenges and turning data into actionable insights. This role blends advanced technical skills, analytical thinking, and a passion for impacting the future of supply chain management.
***
* What You’ll Do:

***** Design, develop, and implement ML algorithms and statistical models to enhance our platform and optimize key operational metrics.
* Collect, clean, and analyze large datasets to identify patterns, trends, and insights that inform strategic decisions.
* Build and maintain scalable data pipelines for preprocessing, feature engineering, model training, and deployment.
* Collaborate with Engineering and SRE to ensure reproducibility, scalability, and reliability of your models.
* Work closely with cross-functional teams to integrate ML solutions into our platform and drive adoption.
* Communicate complex technical information to non-technical audiences, effectively presenting findings and recommendations.
* Stay abreast of the latest advancements in ML technologies and continuously improve model performance.
***
* What You’ll Need:

***** A strong background in Machine Learning, Computer Science, Data Science, Statistics, or a related field.
* 5+ years of experience as an ML Engineer, Data Scientist, or similar role, with a focus on AI/ML applications.
* Advanced programming skills in Python and experience with ML frameworks like Tensor Flow or PyTorch.
* Proficiency in data manipulation and analysis using libraries like Pandas and Num Py.
* Strong understanding of statistical analysis, machine learning algorithms, and data mining techniques.
* Excellent communication skills and the ability to collaborate effectively in a fast-paced environment.
***
* Preferred Qualifications:

***** Master's degree in a relevant field.
* Experience in the logistics or supply chain industry.
* Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
* Familiarity with Dev Ops practices and CI/CD pipelines.
* Experience with big data technologies and data warehousing.
* Knowledge of NLP techniques and BI tools.
#J-18808-Ljbffr