Add office photos
Engaged Employer
i
This company page is being actively managed by
MathCo Team. If you also belong to the team, you
can get access from
here
MathCo
Compare
All Filters
1 MathCo Senior Data Scientist Job
Sr Data Scientist
MathCo
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
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.
- Advanced 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.
- Experienced in modern development tools, writing code collaboratively and developing solutions on cloud platforms.
Non Tech :
- Ability to recognize and pursue pragmatic alternatives vis- -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:
- Ability to solution critical business problems into its component parts and match each such part with an appropriate technical approach.
Job Responsibilities
As Senior Associate - Delivery, 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.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Senior Data Scientist roles with real interview advice
People are getting interviews at MathCo through
People are getting interviews through
(based on 75 MathCo interviews)
Campus Placement
Job Portal
Referral
Company Website
Walkin
Recruitment Consultant
59%
9%
8%
8%
3%
1%
12% candidates got the interview through other sources.
High
Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
What Senior Data Scientist at MathCo are saying
Rating based on 5 Senior Data Scientist
reviews
Anonymous · Data Science & Machine Learning
in Bengaluru
Likes
NA
Dislikes
Management is company centric and not employee centric
Read 5 reviewsSenior Data Scientist salary at MathCo
reported by
35
employees
with 4-8
years exp.
₹12
L/yr - ₹24
L/yr
28%
less
than the average Senior Data Scientist Salary in India
View more details
What MathCo employees are saying about work life
based on 342 employees
Flexible timing
Monday to Friday
No travel
Day Shift
MathCo Benefits
Submitted by Company
Bereavement Leave Health Insurance Maternity & Paternity Leave Reimbursement Policy Enhancing Work-life Balance
Submitted by Employees
Work From Home 
Health Insurance 
Soft Skill Training 
Job Training 
Team Outings 
Compare MathCo with
Fractal Analytics
Compare
Mu Sigma
Compare
LatentView Analytics
Compare
Tiger Analytics
Compare
Bridgei2i Analytics Solutions
Compare
AbsolutData
Compare
Analyttica Datalab
Compare
Crayon Data
Compare
Flutura Decision Sciences & Analytics
Compare
Axtria
Compare
Oracle
Compare
Subex
Compare
Kiya.ai
Compare
Zeta
Compare
Hughes Systique Corporation
Compare
Sequretek It Solutions
Compare
BIZONGO
Compare
CoinDCX
Compare
The Hi-tech Robotic Systemz
Compare
Deutsche Telekom Digital Labs
Compare
Similar Jobs for you
MathCo Bangalore / Bengaluru Office Location
Bengaluru/Bangalore Office
Headquarter
TheMathCompany Private Limited 8th Floor, Tower A, IWF Campus, Whitefield, B Narayanapura, Mahadevapura
Bengaluru/Bangalore
560048
560048
Share an Interview