Lead Data Scientist - AI-Human Interaction
HumanaSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, Marketing TechnologyIndustries
Requirements
- Computer Science graduates from reputed engineering institutes with 10+ years of experience in data science, artificial intelligence
- PhD with relevant experience of 7+ years
- Experience in low latency ML engineering in AdTech/MarTech/Recommender Systems
- Technical proficiency architecting, deploying and maintaining low latency distributed ML applications
- Strong hands-on programming skills in Python, SQL, Hadoop/Hive (additional knowledge of Spark, Scala, R, Java desired but not mandatory)
- Good working knowledge of mathematical and statistical concepts, algorithms, and computational complexity
- Experience implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series), optimization, simulation, and statistical models
- Strong analytical thinking skills and ability to creatively solve business problems, innovating new approaches including GenAI
- Proficient in deployment in cloud and creating highly optimized ML pipelines
- Excellent communication skills and ability to clearly tell data-driven stories
- Able to produce reasonable documents/narratives suggesting actionable insights
- Strong collaborator and mentor
- Passion for solving interesting and relevant real-world problems using a data science approach
- Preferred: Creating tech-led solutions in marketing, customer relevancy models, and content orchestration
Responsibilities
- Architect, integrate, and optimize algorithmic decision making
- Influence roadmaps and drive their execution with a team of talented scientists and engineers
- Develop a multi-year vision of responsive, personalized marketing within the MarTech platform
- Develop and deliver highly scalable low latency AI & ML deployments
- Solve state-of-the-art problems in MarTech, including architecture to create connected tech capabilities from content planning to content orchestration
- Productionize algorithms with low latency and high throughput
- Upgrade batch processes to always-on MarTech capabilities using technology and algorithms
Skills
AI
Machine Learning
Data Science
Predictive Algorithms
Python
Scalable Data Processing
Algorithm Design
Optimization
MarTech
Personalization
Engineering
Architecture
Target
Retailer offering diverse consumer goods
About Target
Target Corporation is a retail company that offers a wide range of products, including clothing, electronics, home goods, and groceries, through nearly 2,000 stores and an online platform. Its "Design For All" philosophy allows it to provide high-quality, affordable products that cater to diverse customer needs. Target differentiates itself from competitors with its owned brands and the Target Circle loyalty program, which enhances customer engagement. The company's goal is to support sustainability and community initiatives by giving back 5% of its profits to local communities.
Minneapolis, MinnesotaHeadquarters
2005Year Founded
N/ACompany Stage
Consumer GoodsIndustries
10,001+Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Paid Sick Leave
Paid Holidays
Paid Vacation
401(k) Retirement Plan
Employee Discounts
Risks
Increased competition from online-only retailers like Amazon threatens Target's market share.
Rising labor costs due to new minimum wage laws could impact profit margins.
Supply chain vulnerabilities from geopolitical tensions may affect inventory and pricing strategies.
Differentiation
Target's 'Design For All' philosophy offers unique, high-quality products at affordable prices.
The Target Circle loyalty program enhances customer engagement and shopping experience.
Target's commitment to sustainability and community support sets it apart from competitors.
Upsides
Experiential retail and 'retailtainment' strategies can boost customer engagement and foot traffic.
Augmented reality integration offers immersive shopping experiences showcasing Target's unique designs.
Omnichannel retail strategies enhance customer experience by integrating online and offline shopping.
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