Sr. Data Scientist Job Opportunity at Lifelancer

Are you an experienced Data Scientist looking for a dynamic role? Lifelancer is seeking a Sr. Data Scientist to design and implement machine learning models within our AWS and Snowflake ecosystems. This position requires at least two days per week in our Delhi office.

Job Responsibilities

• Hands-on involvement in data science and machine learning projects.
• Understand the company's current analytic capabilities and access to media platforms.
• Develop requirements and collaborate with analytic team leaders to integrate analytic solutions into the company or client product platforms.
• Analyze client 1st party marketing interaction data and connect with 3rd party data sets.
• Integrate APIs seamlessly to ensure smooth data flow and application functionality.
• Use your data science expertise to identify the best analytic approaches to solve complex marketing problems for B2B clients:
  • Create and deploy proprietary audience propensity models within the digital media activation ecosystem.
  • Demonstrate knowledge of multi-channel attribution to value each channel's importance for a campaign.
  • Implement custom audience segmentation within media platforms.
  • Experience in A/B testing within web, email, and advertising utilities.
  • Consult and approve ETL and data architecture within the company’s client data lake.
  • Design, develop, and evaluate unsupervised, supervised, and reinforcement machine learning algorithms.
  • Develop multi-channel marketing dashboards visualization, involving data streams management through ETL / Data connectivity platforms.

Qualifications and Skills

• Proven experience integrating algorithms into platforms using large datasets while working with business and technical teams.
• Expert-level statistics skills, including distributions, stat sig testing, sample sizing, regression, and more.
• Strong organizational, communication, and presentation skills.
• Ability to manage multiple projects with great attention to detail and accuracy.
• Familiarity with digital and media analytics.

Education, Experience, and Licensing Requirements

• Master's degree in computational, mathematical, engineering, or scientific field.
• 5+ years of industry experience in data science, machine learning, artificial intelligence, and statistics application.
• Mastery of languages such as SQL, Python, R, etc. is a must.
• Strong knowledge and experience with RESTful APIs.
• Proficiency in AWS cloud services and Snowflake warehousing infrastructures.
• Experience working with both structured and unstructured data sets.
• Ability to join, explore, and establish quality checks on data from various sources.
• Capable of transforming extensive unstructured data into actionable insights.
• Skillful in applying techniques to data with missing values, outliers, and inconsistent formatting.

Apply for this exciting opportunity at Lifelancer using the following link for a quicker response: .