Lead Data Scientist

Company Profile

Blackstraw.ai is an end-to-end technology services company specializing in Artificial Intelligence (AI) and Engineering solutions across Data Science, Data Engineering, LLM/GenAI and LLMOps. Founded in 2018, we help global enterprises across North America, Europe and Asia to build and operationalize AI systems that create measurable business impact. Our mission is to make AI adoption simpler, faster and scalable through a blend of deep domain expertise, reusable accelerators and proven engineering practices.

With a 550+ strong team of engineers, data scientists and AI specialists, we partner with organizations to deliver real-world outcomes in areas such as predictive analytics, computer vision, natural language processing and Generative AI.

Headquartered in Florida (USA) with operations in USA, Canada and India, Blackstraw.ai continues to empower global enterprises to unlock the true potential of AI.

Location: Canada

Experience: 8 to 15 years

Employment Type: Full-time (remote)

Job Summary

We are looking for Lead Data Scientists to lead a data science team and help us gain useful insight out of raw data. Lead Data Scientist responsibilities include managing the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and expertise in statistical and predictive analytics. If you’re also able to align our data products with our business goals, we’d like to talk to you.

Responsibilities

* Ability to build and lead a team of data scientists.

* You would be required to Identify, develop and implement the appropriate statistical modeling, ML/Deep learning Models to create new, scalable solutions that address business challenges across industry domains.

* Create business stories and presentation through Data Inferential Analysis

* Define, develop, maintain and evolve data models, tools and capabilities.

* Communicate your findings to the appropriate teams through visualizations

* Collaborate and communicate findings to diverse stakeholders

* Required Implementation Experience (any 3 or above): Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.

* Good to have exposure in Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification

* Experienced in agile methodology for delivering on project milestones

* Need to have command on Verbal, Presentation, and Written Communication skills.

Preferred Qualifications:

* Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree.

* 8 plus years total experience with minimum of 3 years of experience in a related position, as a Data Scientist or ML Engineer building Predictive analytics and Machine Learning solutions for various types of business problems.

* Advanced knowledge of Statistical Modeling, Machine Learning Algorithms, Python Programming

* Strong individual planning and project management skills, able to work on more than one responsibilities through right prioritization

* Self-motivated and driven to deliver agreed results on-time

* Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience

Key traits:

* Be a problem solver and be proactive to solve the challenges that come his way.

* Should have excellent communication skills.

* Should be self motivated and willing to work as part of a team.

* Should be able to collaborate and coordinate in a remote environment.

* Should create a positive, and friendly environment for your team and colleagues from outside your team

* Should nurture innovation and learn-by-doing culture within the team

Blackstraw provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.