Senior Data Scientist
Remote
We are looking for a Data Scientist with 3-6 years of industry experience to join our growing team. In this role, you will develop and deploy cutting-edge machine learning and statistical models to solve pressing business challenges. This position offers the opportunity to work closely with cross-functional teams, including product managers and software engineers, to build scalable AI solutions.
We seek someone with a strong technical background in Python and SQL, who can leverage cloud computing environments (such as AWS, Databricks, and Snowflake) to deploy and optimize models in production. Knowledge of the advertising industry is a bonus but not required. If you are a collaborative team player, passionate about machine learning innovation, and eager to create impact with advanced AI solutions, we’d love to hear from you.
Key Responsibilities:
Design, develop, and deploy traditional statistical and machine learning models, including Neural Networks, Boosted/Bagged Decision trees, and other advanced solutions to solve real-world problems.
Collaborate closely with product teams to align data science solutions with business goals and user needs.
Partner with engineering teams to integrate models into production pipelines and ensure scalability, performance, and reliability.
Build and maintain data pipelines using Python, SQL, and cloud technologies to feed machine learning models efficiently.
Fine-tune and optimize models and work with standard python and spark libraries.
Perform experiments to validate new approaches and monitor model performance in production environments.
Use cloud platforms like AWS, Databricks, and Snowflake to manage resources, deploy models, and maintain model artifacts.
Keep up-to-date with the latest advancements in machine learning, data science, and statistical computing techniques to continuously improve solutions.
Monitor deployed solutions and continuously optimize these solutions.
Communicate techniques used in a clear, concise way to clients and stakeholders.
Expertise designing solutions requiring low-latency preferred.
Qualifications:
Bachelor’s Degree or Equivalent with 3-6 years of relevant experience. Master's Degree Preferred.
Hands-on experience designing and deploying machine learning models.
Strong programming skills in Python and proficiency with SQL. Apache Spark experience preferred.
Experience in either C++ or Rust preferred, but optional.
Experience working with cloud computing environments, such as AWS, Databricks, and Snowflake.
Knowledge of ML deployment best practices and versioning tools.
Strong problem-solving skills with a passion for continuous learning and staying ahead of new technologies.
Excellent collaboration and interpersonal skills; ability to work effectively in a team-oriented, cross-functional environment.
(Optional) Experience or familiarity with the advertising industry or related technologies is a plus.
Why Join Us:
Innovative Environment: Work with cutting-edge technologies in a fast-paced, innovative environment.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Join a diverse and inclusive team that values collaboration and creativity.
Competitive Compensation: Attractive salary and competitive benefits package.
Inclusive Workplace: be part of a culture of inclusiveness that celebrates diversity.
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Job Profile
Benefits/PerksCareer Advancement Career growth Collaborative culture Competitive benefits Competitive compensation Inclusive workplace Innovative environment Professional development
Tasks- Build and maintain data pipelines
- Collaborate with product teams
- Communicate techniques to stakeholders
- Develop and deploy machine learning models
- Integrate models into production pipelines
- Monitor model performance
- Optimize models
Apache Spark AWS C C++ Cloud Computing Databricks Data Pipelines Data Science Decision Trees Machine Learning Model optimization Neural Networks Python Rust Snowflake SQL Statistical models Versioning tools
Experience3-6 years
Education