4 Senior Data Scientist jobs in Taguig
Data Scientist
Manila, Metropolitan Manila
Cognizant
Posted 16 days ago
Job Viewed
Job Description
**Job Summary**
We are seeking a detail-oriented and analytical Partner Data Analyst to support our Propensity to Buy (P2B) program. This role will be crucial in analyzing customer data generating reports and communicating effectively with partners and project leads. The ideal candidate will possess strong analytical skills excellent communication abilities and the capacity to work efficiently within a fast-paced environment.
**Responsibilities**
Data Cleansing or Data Cleaning To improve the quality and accuracy of raw data making it suitable for analysis and modeling
To identify and correct or remove errors inconsistencies and inaccuracies within a dataset
Handling Missing Data Addressing missing values by either removing records imputing values or using other appropriate techniques
Removing Duplicates Eliminating redundant records that can skew analysis results
Correcting Inconsistencies Standardizing data formats correcting typos and resolving conflicting data entries
Addressing Outliers Identifying and handling extreme values that may distort analysis
Data Validation Ensuring that data conforms to predefined rules and standards
Customer Scoring Data Matching
Analyze provided customer lists and match them against existing scoring models to determine Propensity to Buy P2B scores
Assign a default score of 1 to customers not found in the scoring model
Reporting Presentation
Develop and deliver comprehensive reports and presentations to share P2B scoring results with partners
Partner Communication FollowUp
Proactively communicate completed customer lists to partners and provide necessary followup
Project Lead Communication Collaboration
Proactively communicate edge scenarios assistance requests and potential issues to project leads
Maintain regular communication cadences with project leads
Respond promptly to team communication and pings
Ad Hoc Reporting Analysis
Generate ad hoc reports and presentations related to the P2B project as needed
Location Availability
Work from a nearshore location or if offshore maintain North American working hours for optimal alignment
Service Level Agreement SLA Compliance
Return completed customer lists within the agreedupon 2448 hour SLA
**Qualifications**
Technical Skills
Advanced proficiency in Google SheetsExcel eg pivot tables advanced formulas data visualization macros
Working knowledge of SQL for data extraction and manipulation
Strong presentation skills using Google Slides with the ability to create impactful and informative presentations
Communication and Interpersonal Skills
Excellent communication skills both written and verbal
Ability to create and deliver presentations
Strong organizational and timemanagement skills
Analytical Skills
Strong analytical and problemsolving skills
Ability to interpret data and translate it into actionable insights
Organizational Skills
Strong organizational and time management skills
Ability to manage multiple tasks and priorities effectively
Ability to work independently and collaboratively
Experience
Experience in a partnerfacing role or related field is preferred
Experience in data analysis and reporting
Experience using CRM tools is a plus
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
We are seeking a detail-oriented and analytical Partner Data Analyst to support our Propensity to Buy (P2B) program. This role will be crucial in analyzing customer data generating reports and communicating effectively with partners and project leads. The ideal candidate will possess strong analytical skills excellent communication abilities and the capacity to work efficiently within a fast-paced environment.
**Responsibilities**
Data Cleansing or Data Cleaning To improve the quality and accuracy of raw data making it suitable for analysis and modeling
To identify and correct or remove errors inconsistencies and inaccuracies within a dataset
Handling Missing Data Addressing missing values by either removing records imputing values or using other appropriate techniques
Removing Duplicates Eliminating redundant records that can skew analysis results
Correcting Inconsistencies Standardizing data formats correcting typos and resolving conflicting data entries
Addressing Outliers Identifying and handling extreme values that may distort analysis
Data Validation Ensuring that data conforms to predefined rules and standards
Customer Scoring Data Matching
Analyze provided customer lists and match them against existing scoring models to determine Propensity to Buy P2B scores
Assign a default score of 1 to customers not found in the scoring model
Reporting Presentation
Develop and deliver comprehensive reports and presentations to share P2B scoring results with partners
Partner Communication FollowUp
Proactively communicate completed customer lists to partners and provide necessary followup
Project Lead Communication Collaboration
Proactively communicate edge scenarios assistance requests and potential issues to project leads
Maintain regular communication cadences with project leads
Respond promptly to team communication and pings
Ad Hoc Reporting Analysis
Generate ad hoc reports and presentations related to the P2B project as needed
Location Availability
Work from a nearshore location or if offshore maintain North American working hours for optimal alignment
Service Level Agreement SLA Compliance
Return completed customer lists within the agreedupon 2448 hour SLA
**Qualifications**
Technical Skills
Advanced proficiency in Google SheetsExcel eg pivot tables advanced formulas data visualization macros
Working knowledge of SQL for data extraction and manipulation
Strong presentation skills using Google Slides with the ability to create impactful and informative presentations
Communication and Interpersonal Skills
Excellent communication skills both written and verbal
Ability to create and deliver presentations
Strong organizational and timemanagement skills
Analytical Skills
Strong analytical and problemsolving skills
Ability to interpret data and translate it into actionable insights
Organizational Skills
Strong organizational and time management skills
Ability to manage multiple tasks and priorities effectively
Ability to work independently and collaboratively
Experience
Experience in a partnerfacing role or related field is preferred
Experience in data analysis and reporting
Experience using CRM tools is a plus
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist
Makati, National Capital Region
Elgada BPO Solutions Inc.
Posted today
Job Viewed
Job Description
We are currently looking for a **Data Scientist** to join our growing team in our Makati office!
**What We're Looking For**:
- 4+ years experience as a Data Scientist
- Extensive experience in Statistics
- Deep understanding in Data Engineering
- Knowledgeable and has experience in using AWS
**What You’ll Do**:
- Identify business challenges with stakeholders and help provide analytics using statistical methods
- Analytics to allow categorization as related and allow linking multiple records that are considered independent today
- Perform range of ad-hoc analyses and in support of key technical initiatives
- Perform advanced modeling on data sets in support of business operations
- Have a full grasp of understanding of regression, modeling and forecasting
- Formulate data driven methodologies and coordinate on implementing them with the development team
- Normalize, transform, mine, visualize and wrangle data in preparation for further analysis
- Coordinates with technology and data teams on the full implementation of assigned projects
- Ensure project delivery in an accurate and timely manner
- “Evangelize” statistics and data science across functional teams
- Take on ad hoc requests asked by management as needed
**Job Types**: Full-time, Permanent
**Benefits**:
- Additional leave
- Company events
- Flextime
- Health insurance
- Opportunities for promotion
- Pay raise
- Promotion to permanent employee
- Work from home
Schedule:
- 8 hour shift
- Monday to Friday
Supplemental Pay:
- 13th month salary
- Anniversary bonus
**What We're Looking For**:
- 4+ years experience as a Data Scientist
- Extensive experience in Statistics
- Deep understanding in Data Engineering
- Knowledgeable and has experience in using AWS
**What You’ll Do**:
- Identify business challenges with stakeholders and help provide analytics using statistical methods
- Analytics to allow categorization as related and allow linking multiple records that are considered independent today
- Perform range of ad-hoc analyses and in support of key technical initiatives
- Perform advanced modeling on data sets in support of business operations
- Have a full grasp of understanding of regression, modeling and forecasting
- Formulate data driven methodologies and coordinate on implementing them with the development team
- Normalize, transform, mine, visualize and wrangle data in preparation for further analysis
- Coordinates with technology and data teams on the full implementation of assigned projects
- Ensure project delivery in an accurate and timely manner
- “Evangelize” statistics and data science across functional teams
- Take on ad hoc requests asked by management as needed
**Job Types**: Full-time, Permanent
**Benefits**:
- Additional leave
- Company events
- Flextime
- Health insurance
- Opportunities for promotion
- Pay raise
- Promotion to permanent employee
- Work from home
Schedule:
- 8 hour shift
- Monday to Friday
Supplemental Pay:
- 13th month salary
- Anniversary bonus
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
Makati, National Capital Region
Hunter's Hub Inc.
Posted today
Job Viewed
Job Description
A Data Scientist will discover the information hidden in vast amounts of data and generate insights to make smarter decisions in delivering business and customer needs.
Work collaborately with the project team members.
Bachelor’s Degree in Computer Science, Statistics, Applied Math, Engineering or other quantitative fields
Excellent communication and presentation skills, both written and oral. Able to translate outcomes into business value
At least 3- 5 years in any field of data & analytics (data mining, predictive analytics, machine learning, business intelligence, data management). Senior applicants are encouraged to apply
Minimum of 2 years of hands-on data analytics experience statistical or predictive modeling. Comfortable working with large, complex data sets from varying sources (e.g., transactional & enterprise data, unstructured data sets, internet/public data or data science research).
Work collaborately with the project team members.
Bachelor’s Degree in Computer Science, Statistics, Applied Math, Engineering or other quantitative fields
Excellent communication and presentation skills, both written and oral. Able to translate outcomes into business value
At least 3- 5 years in any field of data & analytics (data mining, predictive analytics, machine learning, business intelligence, data management). Senior applicants are encouraged to apply
Minimum of 2 years of hands-on data analytics experience statistical or predictive modeling. Comfortable working with large, complex data sets from varying sources (e.g., transactional & enterprise data, unstructured data sets, internet/public data or data science research).
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
Makati, National Capital Region
Hunter's Hub Inc.
Posted today
Job Viewed
Job Description
**Qualifications**
- Bachelor’s Degree in Computer Science, Statistics, Applied Math, Engineering or other quantitative fields
- Excellent communication and presentation skills, both written and oral. Able to translate outcomes into business value
- At least 3- 5 years in any field of data & analytics (data mining, predictive analytics, machine learning, business intelligence, data management). Senior applicants are encouraged to apply
- Minimum of 2 years of hands-on data analytics experience statistical or predictive modeling. Comfortable working with large, complex data sets from varying sources (e.g., transactional & enterprise data, unstructured data sets, internet/public data or data science research).
**Job Types**: Full-time, Permanent
**Salary**: From Php30,000.00 per month
**Benefits**:
- Health insurance
- Opportunities for promotion
- Paid training
- Pay raise
- Promotion to permanent employee
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Supplemental pay types:
- 13th month salary
- Overtime pay
- Performance bonus
COVID-19 considerations:
Fully Vaccinated
Ability to commute/relocate:
- Makati City: Reliably commute or planning to relocate before starting work (required)
- Bachelor’s Degree in Computer Science, Statistics, Applied Math, Engineering or other quantitative fields
- Excellent communication and presentation skills, both written and oral. Able to translate outcomes into business value
- At least 3- 5 years in any field of data & analytics (data mining, predictive analytics, machine learning, business intelligence, data management). Senior applicants are encouraged to apply
- Minimum of 2 years of hands-on data analytics experience statistical or predictive modeling. Comfortable working with large, complex data sets from varying sources (e.g., transactional & enterprise data, unstructured data sets, internet/public data or data science research).
**Job Types**: Full-time, Permanent
**Salary**: From Php30,000.00 per month
**Benefits**:
- Health insurance
- Opportunities for promotion
- Paid training
- Pay raise
- Promotion to permanent employee
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Supplemental pay types:
- 13th month salary
- Overtime pay
- Performance bonus
COVID-19 considerations:
Fully Vaccinated
Ability to commute/relocate:
- Makati City: Reliably commute or planning to relocate before starting work (required)
This advertiser has chosen not to accept applicants from your region.
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