Job description
Title: Data Scientist - Global Optimization
Location: Remote in these states: AZ, CA, CO, FL, GA, KS, KY, ID, IL, IN, MA, MI, MN, MO, NC, NJ, NY, OH, OR, PA, RI, SC, SD, TN, TX, VA, WA, WI
If you’re looking to be at the forefront of disrupting the ecommerce industry, wanting to make your mark and be continuously challenged to grow, your time has come.
ShipBob is recognized as #1 on Crain's 2020 “Fast 50” list of the fastest-growing companies in Chicago & Built In’s best mid-sized companies to work for in Chicago. With this growth, we are looking for top talent to help us reach the next level.
Role Description:
The Data Science team at ShipBob is an internal strategic consulting organization employing a team of creative problem solvers. Our mission is to augment, simplify and transform ShipBob business processes with advanced analytics, machine learning and artificial intelligence.
Data Scientists on the team partner closely with internal stakeholders to develop the right metrics for understanding the business and how to improve operations. There are opportunities to advise and inform all of the core business segments, in high priority and high visibility projects requested by senior leadership. The ideal candidate has a strong foundational understanding of machine learning algorithms and has the ability to research and upskill quickly.
About Us:
ShipBob is a cloud-based logistics platform that partners with over 5,500+ e-commerce businesses to help make their entrepreneurial dreams a reality. We offer a full suite of fulfillment solutions for our merchants, including the ability to improve their transit times, shipping costs and deliver best in class experience to their customers. With an almost 100% accuracy rate in fulfilling orders and orders shipped on time, our merchants can count on us to deliver excellent service.
ShipBob’s growing fulfillment network is powered by our proprietary technology and acts as a back office for logistics, providing merchants with full visibility into orders, inventory levels in real time, and access to advanced analytics, over 27 integrations and data reporting.
As one of the fastest growing tech companies in Chicago with over $330M+ raised from blue-chip investors like Menlo Ventures, Bain Capital Ventures, Hyde Park Venture Partners and SoftBank Vision Fund 2, our goal is to continue to be the #1 best fulfillment technology in the industry. To help us meet this standard, we are scaling our entire team and looking for people who share our core values and have an entrepreneurial mindset.
About You:
At ShipBob, we’re looking to bring on board people who embody our core values:
Be Mission-Driven. We want team members that are passionate about helping entrepreneurs improve their business, and bring that passion every day.
Be Humble. We have ambitious goals, and our team members understand that success or failure depends on us working together and leaving egos at the door.
Be Resilient. Logistics is a complicated business. So is software. We value team members that never give up and keep iterating until a problem is solved.
Be a Creative Problem Solver. As a startup, we value smart, innovative solutions to complex problems. We fall in love with the problem, not our “favorite” solution.
What you’ll do:
Build, deploy and monitor the performance of machine learning models to address core business needs.
Investigate and prepare data sources for intensive analysis across all areas of our business to inform and augment leadership decisions.
Generate ideas for exploratory analysis to shape algorithm development.
Assist senior staff members with projects related to both operations and business development, focusing on data manipulation and model development.
Collaborate with cross-functional teams across disciplines such as marketing, engineering, operations, merchant care and business development.
What you’ll bring to the table:
B.S. or M.S. degree in a Data Science, Analytics, Computer Science, or equivalent work experience.
Strong Python programming skills.
Working knowledge of modern machine learning algorithms.
Ability to convert business problems into robust data science solutions.
Show resilience and the ability to quickly pivot between ideas.
Excellent English written and verbal communication skills.
Data visualization and data-storytelling skills.
Working knowledge of AzureML.
Required Technical Skills:
Skill Set
Technology
Minimum proficiency
Python for data science
Python programming skills
With web services frameworks: REST, APIs
Python for data science libraries: Pandas, NumPy, SciPy, Scikit-learn, XGBoost, StatsModels, Matplotlib, Bokeh, Scrapy, beautifulsoup4, etc.
1 - Advanced
Linear programming and discrete optimization with Python
Optimization modeling with CBC, CLP, CPLEX, GLPK, Gurobi, SCIP, XPRESSm scipy.optimize, PuLP, Google OR-Tools
1 - Advanced
Time Series analysis
ARIMA (SARIMA, SARIMAX), Prophet, Boosted trees (LightGBM, XGBoost), ES-RNN, RNN (LSTM / GRU), GluonTS, TemporalFusionTransformer
2 - Intermediate
Big Data
Spark / PySpark
2 - Intermediate
SQL and relational databases
SQL, Microsoft Transact-SQL
1 - Advanced
Azure / AzureML
AzureML Notebooks, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse
2 - Intermediate
Data visualization and dashboards
PowerBI
3 - Novice
Linear and nonlinear classification
Linear and logistic regression, neural networks, decision trees (CART, CHAID, boosted trees), naïve Bayes, Bayesian network, SVMs
2 - Intermediate
Python for deep learning
TensorFlow, Keras, PyTorch, Horovod
Foundational deep learning models: CNN, RNN (LSTM, GRU), Sequence-to-sequence RNNs, Recurrent-CNN
2 - Intermediate
NLP
Topic modeling (TF-IDF, LDA, NLI)
Text classification (count vectorizers, Bi-GRUs / Bi-LSTM, CNN, BERT)
Word embedding / distributional semantics (Word2vec / Doc2Vec, GloVe, FastText)
Text summarization (extractive, abstractive using T5, BART, GPT-2, GPT-3, XLNet
Transformers and ktrain libraries
3 - Novice
Computer vision
Image classification (CNN, DenseNet, VGG16, ResNet, InceptionNet, U-Net, GANs)
Object detection (R-CNN, YOLO)
3 - Novice
MLOps
Model deployment and orchestration: Docker, Kubernetes, Airflow, Kubeflow
Kafka and / or Azure Event Hub
3 - Novice
We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and excellence; therefore, we encourage people from all backgrounds to apply to our positions.
Perks & Benefits:
Medical, Dental, Vision & Basic Life Insurance
401K Match
Variety of voluntary benefits, such as, short term disability
Competitive Salary, Performance Bonus & Stock Options
Paid Maternity/Parental Leave Program
Flexible Time Off Program
Referral Bonus Program
Fun Culture >>> Check us out on Instagram (@lifeatshipbob)
Classification: Exempt
Reports to: Data Science Program Manager
ShipBob provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Internal Use Only, Requisition #: POPS-1478
