Associate Data Scientist I

Job description

Job Description

Role Proficiency:

Develop data-driven solutions for difficult business challenges. Utilizing analytical statistical and programming skills to collect analyze and interpret large data sets with supervision.


  • Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to create models that can generate business insights
  • Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns.
  • Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc
  • Develop processes and tools to monitor and analyse model performance and data accuracy.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Set FAST goals and provide feedback on FAST goals of reportees

Measures Of Outcomes

  • Number of business processes changed due to vital analysis.
  • Models applied to Business Problems
  • Number of Business Intelligent Dashboards developed
  • Number of productivity standards defined for project
  • Number of mandatory trainings completed

Outputs Expected

Statistical Techniques:

  • Apply statistical techniques for example regression

properties of distributions

statistical tests

etc. to analyse data.

Machine Learning Techniques:

  • Apply machine learning techniques like clustering decision tree learning artificial neural networks etc. to streamline data analysis.

Creating advanced algorithms:

  • Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc.

Data Visualization

  • Visualize and present data for stakeholders using: Periscope

Business Objects




Management And Strategy

  • Oversee the activities of analyst personnel and ensures the efficient execution of their duties.

Critical business insights:

  • Mines the business’s database in search of critical business insights and communicates findings to relevant departments.


  • Create efficient and reusable code meant for the improvement


and analysis of data.

Version Control

  • Manages project codebase through version control tools e.g. git



Prescriptive Analytics

  • Attempts to identify what business course of action to make

Create Reports

  • Creates reports depicting the trends and behaviours from the analysed data
  • Train end users on new reports and dashboards.


  • Create documentation for personal work as well as performing a peer review of documentation of others' work

Manage Knowledge

  • Consume and contribute to project related documents

share point

libraries and client universities

Status Reporting

  • Report status of tasks assigned
  • Comply with project related reporting standards and process

Skill Examples

  • Excellent pattern recognition and predictive modelling skills
  • Extensive background in data mining and statistical analysis
  • Expertise in machine learning techniques and creating algorithms.
  • Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.
  • Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail.
  • Critical Thinking: Data Analysts must look at numbers trends and data and come up with new conclusions based on the findings.
  • Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions.
  • Mathematical Skills to estimate numerical data.
  • Work in a team environment
  • Proactively ask for and offer help

Knowledge Examples

  • Programming languages – Java/ Python/ R / Scala
  • Web Services - Redshift S3 Spark DigitalOcean etc.
  • Statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis etc.
  • Google Analytics Site Catalyst Coremetrics Adwords Crimson Hexagon Facebook Insights etc.
  • Computing Tools - Map/Reduce Hadoop Hive Spark Gurobi MySQL etc.
  • Database languages such as SQL NoSQL
  • Analytical tools and languages such as SAS & Mahout.
  • Practical experience with ETL data processing etc.
  • Proficiency in MATLAB.
  • Data visualization software such as Tableau or Qlik.
  • Proficient in mathematics and calculations.
  • Utilization of spreadsheet tools such as Microsoft Excel or Google Sheets
  • DBMS
  • Operating Systems and software platforms
  • Knowledge regarding customer domain and sub domain where problem is solved
  • Proficient in at least one version control tool like git bitbucket
  • Have experience working with project management tool akin to Jira

Additional Comments


  • Works through various project phases from ideation to defining scope & planning.
  • Authors user stories with process flows, mockups, and acceptance criteria in requirements tracking system.
  • Translates complex requirements from user needs to the development team in an Agile Scrum environment.
  • Provides IT application support, research of software defects, trouble-shooting, and defining solutions for defects.
  • Performs verification and UAT testing, including creation of test plans, test scripts and coordination of UAT testing with business users.
  • Utilizes presentation and interpersonal skills to train end users and communicate program progress cross-functionally and to leadership teams.
  • Performs Release validation. This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. EMPLOYMENT QUALIFICATIONS: EDUCATION OR EQUIVALENT EXPERIENCE: Bachelor’s degree in Computer Science, Information Systems, or a related field. Relevant combination of education and experience may be considered in lieu of degree. Continuous learning, as defined by the Company’s learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged. EXPERIENCE: Nine plus years experience gathering requirements to define complex data mappings and transformations. Healthcare data and Risk Adjustment experience a plus but not required. SKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED:
  • Strong SQL skills
  • Strong knowledge in Power BI.
  • Strong knowledge in SSMS, SSIS, Tableau, SAS
  • Strong knowledge in Azure tools
  • Strong knowledge in Python and R
  • Proven analytical and problem solving skills.
  • Proficient with SQL as a tool to solve problems, analyze data, create ad hoc reports and test.
  • Strong knowledge in Excel, SharePoint
  • Should have knowledge of healthcare domain
  • Strong knowledge in T/SQL, PL/SQL
  • Strong oral and written communication skills.
  • Ability to work in a team environment.
  • Proficient in prioritizing, multi-tasking and managing multiple projects.
  • Proven independent worker with strong organizational and time management skills.
  • Flexible and can adapt to change.

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