About the role
Designation: Sr Data Scientist
About Us
TheMathCompany or MathCo® is a global Enterprise AI and Analytics company
trusted for data-driven decision-making by leading Fortune 500 and Global 2000
enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics
solutions focused on enterprise problem-solving through its innovative hybrid
model. NucliOS, MathCo’s proprietary platform with pre-built workflows and
reusable plug-and-play modules, enables the vision of connected intelligence at
a lower TCO.
For our employees, we foster an open, transparent, and collaborative culture
with no barriers, making MathCo a great place to work. We provide exciting
growth opportunities, value capabilities, and attitude over experience, enabling
the Mathemagicians to ‘Leave a Mark’.
Job Responsibilities
As Sr Data Scientist, you will be responsible for a wide range of engagements listed
below:
• Formulates complex problems into hypotheses and proofs of concept for
testing. Socializes this with the rest of the team and guides them to deliver
on it.
• Applies business acumen in analyses to extract meaningful and
actionable information.
• Communicates complex ideas and insights effectively to stakeholders
with various levels of technical experience.
• Leverages various analytical techniques, appropriate to solving the
business problem at hand.
• Performs research for solutions and solves problems efficiently to
overcome data analytics challenges.
• Engages in the collection, integration, analysis, and presentation of data
for various business contexts
• Understands good software development practices (versioning, peer
reviews, refactoring, and pair programming), adapts them to the needs of
the team and sets an example for others by following them.
• Creates and maintains technical documentation of the scientific. experimentations performed, preferably in the CRISP-DM framework or
like.
• Keeps up with the latest trends, technologies, and best practices in the
field of Data Science and Engineering. Shares this knowledge with the rest
of the data science team.
• Does peer reviews of codes and approaches of fellow members of the data
science team.
• Provides mentorship to junior data scientists in the team.
• Looks for improvements in data science delivery processes, actively seeks
buy-in on the improvements from peers and managers, implements them
in the team and monitors their adoption.
Required Skills (Must have)
Tech
• Advanced programming knowledge in Python and SQL.
• Advanced knowledge in Probability and Statistics, including hypothesis
testing.
• Advanced knowledge in Practical Machine Learning and awareness of the
key-pitfalls in the practice of machine learning and approaches to addressing
them.
• Knowledge of data visualization technologies like Tableau, and PowerBI, and
comfortable using relevant libraries in Python like seaborn and matplotlib.
• Experienced in modern development tools and writing code collaboratively.
• Intermediate knowledge of Cloud technologies and experience in developing
data science solutions in one or more cloud platforms.
Pharma & RWE skillset
• Experience working with patient level data such as hands-on experience with
RWE datasets such as - Optum, Komodo, IQVIA Claims in depth
• Experience working on Real World Evidence Use cases such as patient
journey, Identifying Adherence, Drop-offs, Productivity and Days on therapy
and Survival analysis Sequence model for
• Ability to understand and solution for Pharmaceutical and Lifesciences
analytical and business solutions
Non Tech
• Ability to recognize and pursue pragmatic alternatives vis-à-vis a perfect
solution, balancing priorities of time with potential business impact.
• Plan projects, break them down across individual data scientists in the team,
track their performance and manage risks. • Ability to storyboard an entire presentation to a non-technical audience.
• Ability to work independently to develop data science solutions, while also
being able to work as part of a team to communicate findings and
collaborate on solutions.
• Strong written skills. This is required for submitting technical papers,
whitepapers, and developing project documentations.
• Technical leadership and mentorship to the community of data scientists in
the organization.
Required Skills (Good to have)
Tech
• Advanced knowledge in one or more areas besides Machine Learning –
Operations Research, Natural Language Processing, Deep learning and its
applications, Time Series forecasting at scale, Reinforcement Learning,
Graph Machine Learning, Explainable Machine learning.
• Advanced understanding of Cloud technologies and experience of deploying
applications on cloud.
Non Tech
• Hands-on experience working in the EMEA/Asia Pacific healthcare
• Ability to solution critical business problems into its component parts and
match each such part with an appropriate technical approach.
Preferred Educational Qualifications
• A bachelor’s degree in engineering, statistics, mathematics, computer
science or another technical field.
• For those with a bachelor’s degree in non-technical fields, relevant prior work
experience, technical aptitude, and coursework in data science from
institutions of repute will be important.
Being a Mathemagician
• Understand & embody MathCo’s culture and way of working.
• Demonstrate an ownership mindset to drive results, striving for excellence.
• Engage actively and contribute to initiatives fostering
company growth.
• Support diversity and understand different perspectives.
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