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Data Scientist , Pharma Domain

Fractal Analytics -
Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Computer Science
R
Master's degree
SQL
Project management
Bachelor's degree
Machine learning
Customer relationship management
Predictive analytics
B.E.
Communication skills
Python
Analytics

Full job description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Location : PUNE

Position_Description:
The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms for which we are looking for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you.

Role Brief:

5-11 years of Analytics/Predictive Modeling using Python/R, SQL and Machine Learning with strong project management skills

Technical and domain expertise-

Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model etc

Execution excellence -

Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

Job Responsibilities:

Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.
Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.
Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence.
Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches
Firm building: Contribute to firm growth by participating and conducting training sessions.
Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management

The Person:

Experience:

The overall experience of Minimum 7.6 to 10 years with at least 4 to 8 years of hands-on experience in running analytics projects
Expert-level proficiency in statistical/ML predictive techniques such as regression
Project Management, Stakeholder Management, Crisis handling
People grooming (good team player and a leader who identifies and creates synergy in a group)
Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, etc.
Team handling, Problem-solving, Project management, and communication skills & Creative thinking
Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management

Education:

B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Apply Now

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