Internship Data Scientist Jobs in Pondok Gede, Kota Bekasi, West Java

Minimum 1-year experience in a data role (data scientist or data analyst).

Strong algorithm foundation and good analytical as well as problem-solving abilities.

Excellent written and verbal communication skills in delivering the materials.

Good knowledge of statistical data analysis (descriptive and inferential statistics).

Having experience with BI tools (Power BI, Tableau, GDS, etc.) will be an advantage.

Having experience with GCP, Azure, or AWS ecosystems is a plus.

Collaborate with cross-functional teams to understand business requirements and translate them into data science tasks.

Develop technical specifications from functional requirements.

Proven experience as a data scientist, preferably in a startup setting.

Experience with big data technologies and cloud computing platforms.

Lead the planning, development, and implementation of data-driven solutions using GPT API and other LLMs.

Implement data quality and integrity controls, assuring peak performance, reliability, and responsiveness.

We are Hacklab Rocks, a tech talent management company.

- Experience with distributed systems and processing large-scale datasets

- Excellent analytical and problem-solving skills

We're hiring the best candidate for position:

- Bachelor's degree in Computer Science, Information Systems, or a related field

- Min. 1 years or more as Data Engineer or relevant field

Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models

Collaborate with data scientists and analysts to understand their data requirements and provide technical expertise in data modeling and schema design.

Collaborate with cross-functional teams to understand business needs and translate them into technical requirements and data solutions.

Document data engineering processes, system architectures, and technical specifications to facilitate knowledge sharing and maintain data lineage.

Hands-on experience with big data processing frameworks and tools, such as Hadoop, Spark.

Experience with open-source databases, such as PostgreSQL, ClickHouse, and MongoDB.

Excellent program management and teamwork abilities

Take charge of the creation, deployment, production, and management of machine learning pipeline life cycles

Knowledge of using Agile and participating in a Scrum team, as well as real-world experience

Be a technical lead with hands-on experience who can own, drive, and create insights from conception to release

Offer analytical solutions with a strict focus on business results, including a variety of reporting, descriptive, and predictive analytics approaches

Develop the skills and capability of the organization's data science team by empowering and mentoring current personnel

Contribute to the documentation of processes, methodologies, and findings for future reference and knowledge sharing.

Strong programming skills in languages such as Python, R, or Java.

Experience in AI/ML techniques, including natural language processing (NLP), data extraction, and text analysis.

Excellent problem-solving and analytical skills with the ability to handle complex data-related challenges.

Strong communication skills and ability to collaborate effectively within a team.

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Experience with Python and/or R and/or SPSS, etc. and a passion for finance and the markets.

Provide a testimonial against your profile on SkilledUp Life.

Fluent in English – both written and spoken.

Self-learner and ability to execute tasks without any supervision.

Ability to maintain the highest level of professionalism.

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Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

At least 2 years' of experience in quantitative analytics or data modeling

Analyze raw data: assessing quality, cleansing, structuring for downstream processing

Design accurate and scalable prediction algorithms

Collaborate with engineering team to bring analytical prototypes to production

Generate actionable insights for business improvements

Domain knowledge in credit scoring, risk or loan portfolio management

3+ years of experience of applied Quantitative Analysis, Statistical Analysis or Modelling

Experience working with relational SQL databases

Excellent communication skills (Bahasa Indonesia and English)

Experience with A/B testing and experimentation

Nice To Have Experience In Any Of The Following

Knowledge of developing Deep Learning/Computer Vision and classic ML models for practical applications

Experienced in Kotlin, Swift, Java, and Flutter is a plus

Strong communication skills to understand business stakeholders' needs and effectively convey analytical results.

Work with data like images, videos and real-time sensor data etc.

Design, train, quantize and deploy deep learning/computer vision models

Develop unit tests, documentation for features, evaluating, benchmarking the prediction/quality

Excellent understanding of machine learning techniques and algorithms and experience with common data science toolkits

Experience in R/ Python with machine learning/ Neural network algorithms

Experience using business intelligence tools

Experience with data visualization tools

Has expert technical knowledge (statistical models and data science techniques) and has broad knowledge of all business processes.

Has advanced technical knowledge related to the job role. Pro-actively shares ideas and insights across the team.

Work experience between 2-5 years. Fresh graduates with stellar academic (GPA > 3.7) & extracurricular achievements are encouraged!

SQL, Python/R skills will be advantageous, but not mandatory for strong candidates. Do share if you have portfolio of projects

Good communication skills - the candidate is expected to write analysis reports and present to business stakeholders

Using SQL and Python to deep dive into the data and answer complex business questions

Use visualization libraries like plotly, seaborn, matplotlib to visualize key insights from rich data

Build simulation tools combining python and google sheets to enable decision makers test different business scenarios

Strong experience in Python & Flask

Strong experience in Shell scripting

Strong experience in Python Data Science toolkit (e.g. Sklearn, Tensorflow, and Pytorch)

Having experience in handling text data is plus

Identifying the problem and turning it into a solution based on data

Building a machine learning model based on the latest research trend

•More than 5 years of experience in the similar position (has advanced skills in data management)

•Have technical skills in data management (can perform query).

•Have experience in creating reports and giving presentations.

•Bachelor’s degree in Economy/ Accounting/ Mathematic/ Information Technology or other related field.

•Can work as a team or individual.

 Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.

 Excellent problem-solving skills and ability to think critically.

 Strong written and verbal communication skills.

 Knowledge of statistical analysis and experimental design.

 Conduct data analysis, interpretation, and modeling to extract meaningful insights and trends.

 Independently research, explore, and implement innovative approaches to solve challenging problems.

Strong organizational skills and the ability to manage multiple projects simultaneously

Strong analytical and problem-solving skills

Excellent written and verbal communication skills in English

Knowledge of statistical analysis tools and techniques is a plus

Experience with data visualization tools such as Tableau or Power BI is a plus

Collect, clean, and analyze data from various sources to support consulting projects

More than 5 years of experience in the similar position (has advanced skills in data management)

Have technical skills in data management (can perform query).

Have experiences to produce good documentations, such as for: Requirement Documents, Functional Design, SIT and UAT scenario & script.

Have experience in creating reports and giving presentations.

Bachelor’s degree in Economy/Accounting/Mathematic/Information Technology or other related field.

Can work as a team or individual.

2+ years professional experience working in a quantitative and analytical role

Great oral and written communication skills

Experience setting up and using big data frameworks such as Spark

Experience with automating and productionizing data pipelines and predictive models

Bachelors in a quantitative field (CS, Stats, Engineering, Physics, etc.)

Fluent in at least one object-oriented programming language (Python highly preferred)

Universe Risk Management: On Blockchain exchanges, conduct risk and abnormal analysis on the CoinMarketCap main station

8+ years experience in developing Machine Learning models at scale from inception to business impact

Good experience with Python, Java and/or Scala, with solid project experiences

Experience in Deep Learning is a plus

Experience in productionizing Machine Learning model is a plus

Do something meaningful; Be a part of the future of finance technology and the leading company in the industry

Developing, testing, and continuously improving generative AI models

Solving student support tickets correctly and quickly

Onboarding new students to the program

Performing just one task or function - you’ll be given a variety of operations tasks to support your growth and development.

Proficient in Python, JavaScript, or another object-oriented programming language

Ability to fluently communicate technical concepts in English, both verbally and in writing