Data Scientist

Who We Are

Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver—for each other and our clients—to make the world work better for people.

Why Escalent? Once you join our team you will have the opportunity to...

• Access experts across industries for maximum learning opportunities including Weekly Knowledge Sharing Sessions, LinkedIn Learning, and more.
• Gain exposure to a rich variety of research techniques from knowledgeable professionals.
• Enjoy a remote first/hybrid work environment with a flexible schedule.
• Obtain insights into the needs and challenges of your clients—to learn how the world’s leading brands use research.
• Experience peace of mind working for a company with a commitment to conducting research ethically.
• Build lasting relationships with fun colleagues in a culture that values each person

Role Overview

As a Senior Data Scientist, you will be working on client specific Business Intelligence and Data Reporting projects and will be expected to:

• Understand the client’s data architecture and use different technical skills and variety of tools to analyze and model the data for generating actionable insights from a variety of client data sources.
• Work through ambiguous client situations to provide a structured approach to resolve client’s business issues
• Develop strategy, solve business problems and provide recommendations on how to improve business operations and customer experiences, while working closely with stakeholders on structured as well as unstructured data.
• Develop and present interactive data visualizations and dashboards to communicate insights and trends to business stakeholders.
• Ensure that the data being used for analysis is of high quality, is properly cleaned, and is secure.
• Stay current with the latest advances in data science and related technologies to ensure that the organization remains competitive.
• Lead and mentor junior data scientists, analysts, and engineers to ensure projects are delivered on time and within budget

Role and Responsibilities:

• Project Management
• Collaborate with cross-functional teams to identify business problems and design appropriate solutions using data science techniques.
• Develop and implement machine learning models for predictive analytics, recommendation systems, and anomaly detection.
• Conduct exploratory data analysis and apply statistical analysis to generate insights and inform business decisions.
• Create interactive data visualizations and dashboards to communicate insights and trends to business stakeholders.
• Build and maintain data pipelines and integrate data from various sources.
• Be responsible for smooth project operations – overall project quality.
• Client Interaction and Management
• Understand the client objective and support delivery leads in managing client expectations on projects along with the Account Manager
• Work with project manager and client to scope and deliver on projects
• As part of a larger team, align requirements on different work streams and tasks assigned by the client
• Support in client calls wherever required.

• Other Initiatives
• Participate in organization-improvement initiatives and activities such as knowledge management
• Conduct skill-based internal training sessions.
• Help the organization in scaling up by actively participating in recruitment drives at the office premises or on campus

REQUIREMENTS:

• Must-have:
• A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field, with 7 to 10 years of experience in data science, machine learning, and statistical analysis.
• Knowledge of domains such as Retail, Sales, and Operational Analytics.
• Hands-on experience with statistical languages, such as R, Python, and SQL, to transform data and draw insights from large datasets.
• Experience with machine learning frameworks, such as Scikit-learn, TensorFlow, and Keras.
• Expertise in Descriptive and Predictive Analytics, including hypothesis testing, regression analysis, clustering, forecasting, statistical tests, and time series analysis.
• Data munging skills and the ability to work with different structured and unstructured data sources.
• Hands-on experience with big data technologies, such as Hadoop, Hive, Spark, and SQL, and knowledge of Data Warehousing concepts, query optimization, workflow creation, and API integration.
• Ability to work with Relational and Cloud Databases.
• Advanced skills in Power BI, Power BI Query (M-based), DAX, Excel, and SQL.
• Excellent communication skills and the ability to translate complex data science concepts into business insights.
• Strong problem-solving skills and the ability to work independently as well as in a team environment.
• Demonstrated ability to lead projects and mentor junior team members.
• Excellent client presence and communication skills, both written and verbal.
• Proficiency with MS PowerPoint and MS Excel.

• Preferred Qualifications / Good-to-have :
• PhD in Computer Science, Statistics, Mathematics, or a related field.
• Experience with natural language processing and text analytics.
• Familiarity with cloud-based data technologies such as AWS, Azure, and GCP.
  

Explore our Careers and Culture page to learn more about the people behind the brand: https://escalent.co/careers-and-culture/