JOB DESCRIPTION:

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution


2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.


3. Participate and lead executive presentations with client leadership stakeholders.


4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life


5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

THE IDEAL CANDIDATE WILL:

1. Solve some of the most impactful business problems for our clients.


2. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.


3. Lead and manage the onsite-offshore relation, at the same time adding value to the client.


4. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.


5. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.


6. Present results, insights, and recommendations to senior management with an emphasis on the business impact.


7. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.


8. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Data Science, Machine Learning, SQL, Python, R, PowerBI, Tableau, AWS, Azure, GCP

ELIGIBILITY CRITERIA:

1. 4-7 years of experience in data science, building hands-on ML models


2. Hands-on experience with SQL, R, Python, Spark, and building machine learning models.


3. Proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment.
   
   
   
   1. Derive metrics for model performance monitoring and conduct continuous model performance monitoring (after deployment)
   
   
   
   


4. Proven industry experience of designing, leading, and managing large-scale data science projects and collaborating with data engineers and Product Managers.
   
   
   
   1. Work with data engineers to test and validate training and production data pipelines, among other tasks.
   
   
   
   


5. Strong understanding of the fundamental concepts of popular statistical and ML models


6. Experience in managing multiple priorities and leading a team.


7. Strong communication skills with excellent ability to synthesize complex information.


8. Ability to solve complex business problem through a blend of logical and creative thinking.


9. A learning and growth mindset.


10. Experience with BI tools such as Power BI, Tableau is preferred but not required.


11. Experience with cloud platforms such as Azure, AWS is preferred but not required.

ABOUT YOU:

• You are self-motivated, collaborative, eager to learn, and hands on


• You love trying out new apps, and find yourself coming up with ideas to improve them


• You stay ahead with all the latest trends and technologies


• You are particular about following industry best practices and have high standards regarding quality.

WHY JOIN TREDENCE?

              There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. We offer a 401k match; full medical, dental and vision benefits, a fun team atmosphere and a work life balance. Our people are our greatest asset and we value every one of them. Come see why we’re so successful in one of the most competitive and fastest growing industries in the world.

Bachelor’s in engineering, or Masters in Statistics / Economics / Business Administration

Consultant