Senior Data Scientist

Stord, Inc.; Brasil; Teletrabalho; BRL 150.000 - 200.000; Tempo integral

Resumo da oferta

A logistics technology company in Brazil is seeking a highly skilled Senior Data Scientist to enhance its platform's AI/ML capabilities. You will work closely with software engineers to translate data science concepts into practical features, focusing on optimizing supply chains and delivering strategic insights. This role is unique as it embeds data science into the engineering team, enhancing operational efficiency and driving data-driven decision-making.

Qualificações

• Expert-level Python programming with production code experience.
• Strong SQL skills with Postgres and BigQuery experience.
• Deep understanding of statistical analysis and machine learning fundamentals.

Responsabilidades

• Conduct thorough exploratory data analysis to validate assumptions.
• Build predictive models for supply chain optimization.
• Translate complex data science concepts into understandable terms.

Conhecimentos

Python programming

SQL skills

Statistical analysis

Machine learning fundamentals

Collaboration

Ferramentas

Postgres

BigQuery

AWS

GCP

Azure

Descrição da oferta de emprego

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Combining comprehensive commerce-enablement technology with high-volume fulfillment services 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 at scale.

With Stord, brands can increase cart conversion, improve unit economics, and drive 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.

Stord is revolutionizing the logistics industry with our cloud-based supply chain platform. We empower brands to compete and grow by providing end-to-end logistics solutions coupled with our modern platform of tools covering Order Management (OMS), Warehouse Management (WMS), Consumer Experience (Pre/Post Purchase), Demand Planning, and more. As we continue to enhance our platform and look to the future, we are doubling down on our investment in Data andAI in order to make our platform even more powerful for the brands that use it.

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Combining comprehensive commerce-enablement technology with high-volume fulfillment services 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 at scale.

With Stord, brands can increase cart conversion, improve unit economics, and drive 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.

Stord is revolutionizing the logistics industry with our cloud-based supply chain platform. We empower brands to compete and grow by providing end-to-end logistics solutions coupled with our modern platform of tools covering Order Management (OMS), Warehouse Management (WMS), Consumer Experience (Pre/Post Purchase), Demand Planning, and more. As we continue to enhance our platform and look to the future, we are doubling down on our investment in Data andAI in order to make our platform even more powerful for the brands that use it.

We are seeking a highly skilled and versatile Senior Data Scientist to join our software engineering team as we build AI/ML capabilities directly into our platform. This is a unique role where you'll be embedded with software engineers rather than in a traditional data science organization. You'll report to an Engineering Manager and work directly with software engineers, translating data science concepts into practical features that can be implemented. As the data science expert on a team eager to learn, you'll own the full lifecycle from data analysis to production model deployment while teaching and enabling your colleagues.

In this role, you will play a pivotal part in driving data-driven decision-making across our organization, with a strong focus on optimizing our customers' supply chains. You will leverage your expertise in both data analysis and data science to
develop and implement innovative solutions that enhance our operational efficiency and empower our customers with strategic insights and recommendations. You'll work on areas such as demand forecasting, delivery date estimation, pricing analytics, and network simulations, with the opportunity to drive new products forward and meaningfully contribute to making Stord an even more data-driven organization.

What You'll Do

Data Analys i s & Problem Solv i ng :

• Conduct thorough exploratory data analys i s to val i date assumpt i ons and uncover i ns i ghts

• Ident i fy and resolve data qual i ty i ssues before they i mpact model development

• Prov i de clear , act i onable recommendat i ons based on data f i nd i ngs

• Answer spec i f i c bus i ness quest i ons w i th data-dr i ven analys i s

• Model Development & Implementat i on :

• Bu i ld pred i ct i ve models for supply cha i n opt i m i zat i on (del i very t i me est i mat i on , demand forecast i ng , rout i ng

• opt i m i zat i on)

• Create product i on-ready code that i ntegrates seamlessly w i th ex i st i ng serv i ces

• Work w i th eng i neers to deploy models as m i croserv i ces or API endpo i nts

• Mon i tor and i mprove model performance i n product i on

Techn i cal Translat i on & Educat i on :

• Translate complex data sc i ence concepts i nto terms that eng i neers and product managers understand

• Educate the team on relevant stat i st i cal methods and ML approaches

• Document techn i cal dec i s i ons i n ways access i ble to non-data sc i ent i sts

• Br i dge the gap between product requ i rements and data sc i ence poss i b i l i t i es

• Collaborat i ve Development :

• Part i c i pate i n spr i nt plann i ng and ag i le ceremon i es

• Pa i r program w i th software eng i neers on feature i mplementat i on

• Rev i ew code and prov i de feedback on data-related i mplementat i ons

• Contr i bute to arch i tectural dec i s i ons for AI/ML features

What You'll Need

• Expert-level Python programm i ng w i th product i on code exper i ence

• Strong SQL sk i lls w i th Postgres and B i gQuery exper i ence

• Deep understand i ng of stat i st i cal analys i s and mach i ne learn i ng fundamentals

• Exper i ence w i th G i t/G i tHub and collaborat i ve development workflows

• Proven ab i l i ty to deploy models to product i on env i ronments

• Exper i ence w i th cloud platforms (AWS , GCP , or Azure)

• Except i onal commun i cat i on sk i lls - ab i l i ty to expla i n complex concepts s i mply

• Teach i ng m i ndset - comfort w i th educat i ng non-data sc i ent i sts

• Pragmat i c approach - focuses on solv i ng problems , not j ust bu i ld i ng models

• Self-d i rected - can i dent i fy what needs to be done w i thout deta i led spec i f i cat i ons

• Collaborat i ve sp i r i t - en j oys work i ng closely w i th software eng i neers and product managers

Bonus Points

• Exper i ence w i th El i x i r , Typescr i pt and funct i onal programm i ng

• Knowledge of Kubernetes and conta i ner orchestrat i on

• Fam i l i ar i ty w i th CI/CD p i pel i nes and DevOps pract i ces

• Exper i ence w i th Datadog or s i m i lar mon i tor i ng tools

• Background i n log i st i cs , supply cha i n , or e-commerce doma i ns

• Exper i ence bu i ld i ng APIs or micro services

• Exper i ence w i th real-t i me model serv i ng

• Techn i cal Knowledge Areas to Evaluate

• Core Data Sc i ence Competenc i es

*This role is ONLY open to candidates residing in Latin America (LATAM)