Associate lead data scientist

Mandate Skills & Competencies:

• Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud

Technology (AWS, Azure, GCP)

• Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy,

scrapy, BERT etc.

• Good understanding in statistics, and ability to design statistical hypothesis testing to aid

formal decision making.

• Develops predictive models using Machine Learning algorithms (SVM, Random Forest,

Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression,

PCA etc.)

• Engaging with clients, understanding complex problem statements, and offering solutions in

the domains of Retail, Pharma, Banking, Insurance, etc.

• Contribute to internal product development initiatives related to data science.

• Develop data science roadmap, and guide data scientist to meet their deliverables.

• Handling end-to-end client AI & analytics programs. Your role will be a combination of

hands-on contribution, technical team management, and client interaction.

• Proven ability to discover solutions hidden in large datasets and to drive business results

with their data-based insights

• Drive excellent project management required to deliver complex projects, including

effort/time estimation.

• Be proactive, with full ownership of the engagement. Build scalable client engagement level

processes for faster turnaround & higher accuracy

• Define Technology/ Strategy and Roadmap for client accounts, and guides implementation

of that strategy within projects

• Run regular project reviews and audits to ensure that projects are being executed within the

guardrails agreed by all stakeholders

• Manage the team-members, to ensure that the project plan is being adhered to over the

course of the project

• Manage the client stakeholders, and their expectations, with a regular cadence of weekly

meetings and status updates.

• Build a trusted advisor relationship with the IT management at clients and internal accounts

leadership.

• Build business case for technological investments to be made for future needs and to remain

competitive

• Ensure that billing and utilization of team members is maximized throughout the year

Desired Skills:

• Experience designing data science solutions to business problems

• Deep understanding of ML algorithms for common use cases in both structured and

unstructured data ecosystems.

• Comfortable with large scale data processing and distributed computing

• Allocates workload among team members and by taking into consideration employee

availability, skill set, and current workload when making assignments.

• Providing required inputs to sales, and pre-sales activities

• Excellent written and verbal communication skills

Desired Experience & Education:

• 4- 8 years of relevant Machine Learning experience.

• Minimum Masters Degree in Engineering, Computer Science, Mathematics, Computational

Statistics, Operations Research, Machine Learning or related technical fields.