2 Senior Data Scientist jobs in Taguig
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Data Scientist
Manila, Metropolitan Manila
Cognizant
Posted 15 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.
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Data Scientist
Mandaluyong, National Capital Region
Accenture
Posted today
Job Viewed
Job Description
**Responsibilities**:
- Analyzes raw information through statistical analysis to discover trends or patterns that can be used for building data products to extract valuable business insights.
- Collaborates with the company’s business clients to identify gaps and structure problems as well as to propose solutions and strategies to business challenges.
- Leads trainings and informational sessions on statistics.
**Qualifications**:
**Junior Level**:
- Must have at least 1 year of experience manipulating data sets and building statistical models
- Uses predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.
- Utilizes machine learning algorithms and models and presents them using data visualization techniques.
- Has familiarity with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning.
**Mid-Level**:
- Must have at least 2-4 years of experience manipulating data sets and building statistical models
- Familiar with the following software/tools:
- Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
- Knowledge and experience in statistical and data mining techniques
- Experience querying databases and using statistical computer languages
- Experience using web services: Redshift, S3, Spark, etc.
- Has strong familiarity knowledge with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning.
- Exceptional understanding of the different software utilities for data and computation such as Hadoop, Apache Spark and Impala.
**Senior Level**:
- Must have at least 5-7 years of experience manipulating data sets and building statistical models
- Familiar with the following software/tools:
- Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
- Knowledge and experience in statistical and data mining techniques
- Experience querying databases and using statistical computer languages
- Experience using web services: Redshift, S3, Spark, etc.
- Has strong knowledge with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning.
- Exceptional understanding of the different software utilities for data and computation such as Hadoop, Apache Spark and Impala.
**Join our high-performing team and enjoy these benefits**:
- Healthcare Insurance (HMO) & Life Insurance coverage from day 1 of employment
- Expanded maternity leave up to 120 days*
- Expanded paternity leave up to 30 days*
- Employee Stock Purchase Pan
- Loyalty and Christmas Gift
- Inclusion and Diversity Benefits
- Night Differential
- Allowances
- Car and housing plan
- Company-sponsored trainings like upskilling and certification
- Flexible Working Arrangements
- Healthy and Encouraging Work Environment
**TERMS AND CONDITIONS**
**Additional Information**:
The following documents will be asked as part of the pre-hiring requirements prior onboarding. We recommend to prepare the requirements early to ensure on time onboarding. Detailed discussion will take place during onboarding process as well as changes on the requirements as needed.
- Transcript of Records (TOR)
- Diploma (for graduates only) and/or Certificate of Graduation
- Certificate of Employment (COE) and/or SSS Employment History
- Government Documents:
- SSS ID and/or SSS Verification Form
- SSS Statement of Account (SOA)
- SSS Certificate of Contribution
- Pag-IBIG Member’s Data Record (MDR)
- Philhealth ID and/or Philhealth Member Data Record (MDR)
- TIN ID and/or Processed BIR Form 1905 or any BIR documents reflecting your TIN and with BIR Stamped
- NSO Birth Certificate
Edit jobStatus: OpenView public job page
**Salary**: Php54,000.00 - Php94,000.00 per month
Schedule:
- 8 hour shift
- Rotational shift
- Analyzes raw information through statistical analysis to discover trends or patterns that can be used for building data products to extract valuable business insights.
- Collaborates with the company’s business clients to identify gaps and structure problems as well as to propose solutions and strategies to business challenges.
- Leads trainings and informational sessions on statistics.
**Qualifications**:
**Junior Level**:
- Must have at least 1 year of experience manipulating data sets and building statistical models
- Uses predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.
- Utilizes machine learning algorithms and models and presents them using data visualization techniques.
- Has familiarity with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning.
**Mid-Level**:
- Must have at least 2-4 years of experience manipulating data sets and building statistical models
- Familiar with the following software/tools:
- Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
- Knowledge and experience in statistical and data mining techniques
- Experience querying databases and using statistical computer languages
- Experience using web services: Redshift, S3, Spark, etc.
- Has strong familiarity knowledge with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning.
- Exceptional understanding of the different software utilities for data and computation such as Hadoop, Apache Spark and Impala.
**Senior Level**:
- Must have at least 5-7 years of experience manipulating data sets and building statistical models
- Familiar with the following software/tools:
- Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
- Knowledge and experience in statistical and data mining techniques
- Experience querying databases and using statistical computer languages
- Experience using web services: Redshift, S3, Spark, etc.
- Has strong knowledge with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning.
- Exceptional understanding of the different software utilities for data and computation such as Hadoop, Apache Spark and Impala.
**Join our high-performing team and enjoy these benefits**:
- Healthcare Insurance (HMO) & Life Insurance coverage from day 1 of employment
- Expanded maternity leave up to 120 days*
- Expanded paternity leave up to 30 days*
- Employee Stock Purchase Pan
- Loyalty and Christmas Gift
- Inclusion and Diversity Benefits
- Night Differential
- Allowances
- Car and housing plan
- Company-sponsored trainings like upskilling and certification
- Flexible Working Arrangements
- Healthy and Encouraging Work Environment
**TERMS AND CONDITIONS**
**Additional Information**:
The following documents will be asked as part of the pre-hiring requirements prior onboarding. We recommend to prepare the requirements early to ensure on time onboarding. Detailed discussion will take place during onboarding process as well as changes on the requirements as needed.
- Transcript of Records (TOR)
- Diploma (for graduates only) and/or Certificate of Graduation
- Certificate of Employment (COE) and/or SSS Employment History
- Government Documents:
- SSS ID and/or SSS Verification Form
- SSS Statement of Account (SOA)
- SSS Certificate of Contribution
- Pag-IBIG Member’s Data Record (MDR)
- Philhealth ID and/or Philhealth Member Data Record (MDR)
- TIN ID and/or Processed BIR Form 1905 or any BIR documents reflecting your TIN and with BIR Stamped
- NSO Birth Certificate
Edit jobStatus: OpenView public job page
**Salary**: Php54,000.00 - Php94,000.00 per month
Schedule:
- 8 hour shift
- Rotational shift
This advertiser has chosen not to accept applicants from your region.
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