Position Title: Senior Data Analytics Specialist (Python & ML)
Timings: 4:00 pm - 1:00 am (Onsite)
Department: Software Engineering
Location: Ikonic Plot # 176 Korang Road near Rahat Bakers I-10/3 Islamabad
About Us:
IKONIC is a US-based IT company headquartered in Miami Florida serving clients globally for over 9 years. Were known for building scalable digital solutions and high-performing product teams. Innovation ownership and outcomes are core to how we work.
Position Purpose:
We are seeking a highly skilled Senior Data Analytics Specialist with deep expertise in Python predictive modeling and big data processing. In this role you will lead end-to-end data analytics projects build scalable ETL pipelines and develop predictive and machine learning models to drive strategic business decisions. You will collaborate with cross-functional teams mentor junior analysts and ensure the delivery of high-quality reliable analytics solutions.
Education & Professional Qualification:
- Bachelor or equivalent degree from a reputed educational institute preferably in computer programming Data Science computer science software engineering or a related field.
- Certification(s): Not mandatory but certification in a relevant field is a plus.
Experience:
Minimum 4 years of hands-on experience in Data Analytics Data Engineering or Machine Learning with a strong portfolio of relevant projects.
Responsibilities:
- Design develop and maintain robust ETL pipelines and data workflows using Python and Spark (PySpark).
- Analyze large complex datasets from multiple sources (SQL APIs cloud storage) to generate actionable insights.
- Perform exploratory data analysis (EDA) to identify patterns trends and opportunities.
- Build predictive statistical and machine learning models to support business decision-making.
- Implement data cleansing transformation and validation pipelines to ensure data accuracy and reliability.
- Use MLflow (or similar) for experiment tracking model versioning and deployment.
- Optimize data processes and Spark jobs for performance reliability and scalability.
- Collaborate with product engineering and business teams to translate requirements into analytical solutions.
- Create dashboards reports and visualizations using Python libraries Power BI or Tableau.
- Mentor junior analysts and contribute to best practices in analytics and data modeling.
- Ensure compliance with data governance security and internal quality standards.
Requirements:
- Bachelors or Masters degree in Data Science Computer Science Statistics or related field.
- 4 years of experience in data analytics data science or predictive modeling roles.
- Strong Python programming skills for analytics and machine learning (Pandas NumPy Scikit-learn Matplotlib/Seaborn).
- Experience with Apache Spark / PySpark for big data processing and ETL pipelines.
- Hands-on experience in predictive modeling regression classification and time-series forecasting.
- Experience with MLflow or similar tools for model tracking versioning and deployment.
- Proficiency in SQL and experience working with relational databases.
- Strong knowledge of statistics hypothesis testing and data modeling.
- Ability to work with large datasets and distributed computing environments.
- Excellent problem-solving analytical thinking and communication skills.
Nice-to-Have:
- Experience with cloud data platforms: AWS (S3 EMR) GCP (Dataproc BigQuery) Azure Data Services.
- Experience with real-time/streaming pipelines (Kafka Spark Streaming).
- Familiarity with BI tools (Power BI Tableau Looker) and connecting data pipelines to dashboards.
- Experience with Git Airflow Docker or other DevOps/MLOps tools.
Benefits
- EOBI
- Provident Fund
- Medical Health Insurance
- Annual Leaves
- Casual leaves
- Sick Leaves
- Bereavement Leaves
- Marriage Leaves
- Paternity Leaves
- Maternity Leaves
- Recreational area for in-house games
Why Should You Join IKONIC
At IKONIC we believe in providing development opportunities to all its employees which is why our job comes with a variety of challenging assessments meant to catapult your career to the next level. This is made evident with our offerings such as:
- A growth mindset through the help of experienced and helpful Mentors. Ikonic is made up of passionate individuals who aim to support each other in their training as well as day-to-day tasks.
- A Dynamic Environment where we focus on encouraging initiatives promoting agility and creating a work/life balance. We know the value you bring in and we aim to nurture it.
- Market Competitive Compensation based upon your professional qualifications and skill set.
- As an Equal employment opportunity provider. All employment associated decisions are based on an individuals merit.
Note: Above goals and job descriptions are indicative and subject to change.
Position Title: Senior Data Analytics Specialist (Python & ML)Timings: 4:00 pm - 1:00 am (Onsite)Department: Software EngineeringLocation: Ikonic Plot # 176 Korang Road near Rahat Bakers I-10/3 Islamabad About Us:IKONIC is a US-based IT company headquartered in Miami Florida serving clients globally...
Position Title: Senior Data Analytics Specialist (Python & ML)
Timings: 4:00 pm - 1:00 am (Onsite)
Department: Software Engineering
Location: Ikonic Plot # 176 Korang Road near Rahat Bakers I-10/3 Islamabad
About Us:
IKONIC is a US-based IT company headquartered in Miami Florida serving clients globally for over 9 years. Were known for building scalable digital solutions and high-performing product teams. Innovation ownership and outcomes are core to how we work.
Position Purpose:
We are seeking a highly skilled Senior Data Analytics Specialist with deep expertise in Python predictive modeling and big data processing. In this role you will lead end-to-end data analytics projects build scalable ETL pipelines and develop predictive and machine learning models to drive strategic business decisions. You will collaborate with cross-functional teams mentor junior analysts and ensure the delivery of high-quality reliable analytics solutions.
Education & Professional Qualification:
- Bachelor or equivalent degree from a reputed educational institute preferably in computer programming Data Science computer science software engineering or a related field.
- Certification(s): Not mandatory but certification in a relevant field is a plus.
Experience:
Minimum 4 years of hands-on experience in Data Analytics Data Engineering or Machine Learning with a strong portfolio of relevant projects.
Responsibilities:
- Design develop and maintain robust ETL pipelines and data workflows using Python and Spark (PySpark).
- Analyze large complex datasets from multiple sources (SQL APIs cloud storage) to generate actionable insights.
- Perform exploratory data analysis (EDA) to identify patterns trends and opportunities.
- Build predictive statistical and machine learning models to support business decision-making.
- Implement data cleansing transformation and validation pipelines to ensure data accuracy and reliability.
- Use MLflow (or similar) for experiment tracking model versioning and deployment.
- Optimize data processes and Spark jobs for performance reliability and scalability.
- Collaborate with product engineering and business teams to translate requirements into analytical solutions.
- Create dashboards reports and visualizations using Python libraries Power BI or Tableau.
- Mentor junior analysts and contribute to best practices in analytics and data modeling.
- Ensure compliance with data governance security and internal quality standards.
Requirements:
- Bachelors or Masters degree in Data Science Computer Science Statistics or related field.
- 4 years of experience in data analytics data science or predictive modeling roles.
- Strong Python programming skills for analytics and machine learning (Pandas NumPy Scikit-learn Matplotlib/Seaborn).
- Experience with Apache Spark / PySpark for big data processing and ETL pipelines.
- Hands-on experience in predictive modeling regression classification and time-series forecasting.
- Experience with MLflow or similar tools for model tracking versioning and deployment.
- Proficiency in SQL and experience working with relational databases.
- Strong knowledge of statistics hypothesis testing and data modeling.
- Ability to work with large datasets and distributed computing environments.
- Excellent problem-solving analytical thinking and communication skills.
Nice-to-Have:
- Experience with cloud data platforms: AWS (S3 EMR) GCP (Dataproc BigQuery) Azure Data Services.
- Experience with real-time/streaming pipelines (Kafka Spark Streaming).
- Familiarity with BI tools (Power BI Tableau Looker) and connecting data pipelines to dashboards.
- Experience with Git Airflow Docker or other DevOps/MLOps tools.
Benefits
- EOBI
- Provident Fund
- Medical Health Insurance
- Annual Leaves
- Casual leaves
- Sick Leaves
- Bereavement Leaves
- Marriage Leaves
- Paternity Leaves
- Maternity Leaves
- Recreational area for in-house games
Why Should You Join IKONIC
At IKONIC we believe in providing development opportunities to all its employees which is why our job comes with a variety of challenging assessments meant to catapult your career to the next level. This is made evident with our offerings such as:
- A growth mindset through the help of experienced and helpful Mentors. Ikonic is made up of passionate individuals who aim to support each other in their training as well as day-to-day tasks.
- A Dynamic Environment where we focus on encouraging initiatives promoting agility and creating a work/life balance. We know the value you bring in and we aim to nurture it.
- Market Competitive Compensation based upon your professional qualifications and skill set.
- As an Equal employment opportunity provider. All employment associated decisions are based on an individuals merit.
Note: Above goals and job descriptions are indicative and subject to change.
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